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Foreign Aid to Ukraine: Lessons from the Literature on Strategic Foreign Aid

Posted on September 19, 2022 | Policy Brief

Image of the map of Ukraine representing Foreign Aid to Ukraine

Ukraine is currently receiving substantial inflows of foreign aid from western donors to help the country withstand the Russian aggression. The foreign aid flows partly reflect altruistic motives from the donor side, but also donor’s domestic strategic foreign policy objectives as the war is seen as part of a battle over the future world order. In this brief, I discuss the academic literature that has analysed the existence and consequences of strategic motivations behind aid flows more generally, and draw some preliminary insights for the case of Ukraine.

One of many consequences of the Russian war on Ukraine is that western countries have responded by providing substantial bilateral financial support to Ukraine. This support has taken the form of humanitarian, financial and military aid. As of August 3rd 2022, the US has provided the most support in absolute terms (44,5 billion euro), followed by EU institutions (16,2 billion euro) and the United Kingdom (6,5 billion euro). Relative to GDP, countries in Eastern Europe have however been the most generous, led by Estonia and Latvia (0,9 percent of GDP) and Poland (0,6 percent of GDP) (Antezza et al., 2022). Meanwhile, a discussion on the reconstruction of Ukraine has started, following the massive destruction of physical capital from the Russian aggression. The immense costs of this destruction increase every day, and the reconstruction effort for a future “Ukraine 2.0” will likely require thousands of billions of $US, mainly in the form of foreign aid (Becker at al., 2022).

Against this background, it is important to consider the academic and policy-oriented literature on aid effectiveness, i.e., to what extent aid impacts economic development and social welfare. Aid effectiveness involves many different dimensions such as issues of donor coordination, responsibility for reforms and investment choices of government and people (ownership), how to avoid corruption and so-called “white elephants” (expensive and useless investments), and how to effectively implement evaluation and evidence-based policy choices (e.g. OECD, 2008). In this brief, I will focus my attention on one such dimension, the underlying donor purpose of aid giving, and its implications for the contribution of aid inflows to human welfare in partner countries. More specifically I will discuss strategic aid, aid given primarily for the purpose of donor’s own broader foreign policy agendas. I will discuss what the literature has to say about the existence of such strategic aid, and what it has to say about its implications for aid flows and aid effectiveness. This will be done on basis of the existing literature, including a few of my own contributions. It is important to note that this literature focuses on development aid, defined by the OECD as “Official Development Assistance” (ODA). ODA does not include for instance military aid but is rather defined as official flows that explicitly target economic development and social welfare in the partner country. This literature is thus most relevant when talking about the reconstruction of Ukraine and to some extent the current financial and humanitarian aid given to the country.

Identifying the Existence of Strategic Aid

In the quantitative literature, there are primarily two approaches to measuring the strategic incentives behind aid disbursements. The first approach looks at the distribution of foreign aid across partner countries with different levels of needs, institutional capacity to absorb aid inflows, commercial potential, historical ties to donors, and strategic importance. If aid was based only on altruistic motives we would expect aid allocation to strongly favour partner countries with low human development (measured by, e.g., GDP per capita levels, poverty headcount ratios and child mortality) and the capacity to turn aid inflows into social welfare (measured by e.g., indices of macroeconomic policies, democracy scores and corruption indicators). While the empirical literature suggests this is partly true, although more so for some donors than others, it is far from the whole picture. Many donors tend to favour former colonies or countries of commercial interest, observed by flows of trade and foreign direct investments (e.g., Neumayer, 2003; Berthelemy and Tichit, 2004). The same is true for strategic interests, although their importance varies substantially across donors (more so for the US and less for the Scandinavian countries, for instance). This is also true across a broad set of proxies for strategic relevance, all trying to capture foreign policy alliances or foreign policy importance, such as arms imports (Hess, 1989; Maizels, and Nissanke, 1984), arms expenditures (Schraeder et al., 1998), the correlation of voting records in the UN General Assembly (Alesina and Dollar, 2000), and dummies for Israel and Egypt (capturing the significance of the Israel-Palestine peace process).

In Frot, Olofsgård and Perrotta Berlin (2014), we take a closer look at the Central and Eastern Europe (CEEC) countries and the Commonwealth of Independent States (CIS) in the early years of their transition towards market economies. As these countries opened up a substantial amount of western aid became available, but the allocation of aid across countries varied substantially, as did needs, commercial potential and strategic significance to major donors. We argue that these motivations may have also played a different role at different times. In particular, there is a strategic advantage of early market access if aid flows are driven by commercial interests, suggesting that trade and investment relationships may play a more prominent role for aid allocation early on and less so as private partnerships have been [increasingly] established. Similarly, some strategic considerations were particularly salient early on, such as supporting nuclear disarmament and building a bulwark in Eastern Europe against the perceived remaining military threat of Russia. When disaggregating the data over time, we do indeed find that commercial interests played a much more prominent role in the first half of the 1990’s than in later years. Similarly, we find that countries with nuclear arms and countries located geographically closer to Brussels benefit particularly during these early years. As time went by, commercial interests became less important, needs variables gained more traction, and aid seems to rather have been used to reward countries undergoing deeper democratic reforms (Frot, Olofsgård and Perrotta Berlin, 2014).

The second approach is to focus on how aid flows are generally affected by changes to the strategic importance of a partner country, or partner countries, over time. In Boschini and Olofsgård (2007) we estimate the role of the intensity of the Cold War on aggregate levels of foreign aid from western donors. It is commonly argued that foreign aid was (partially) used as an instrument to gain political loyalty from leaders in the developing world during the Cold War and that the substantial drop in aggregate aid levels witnessed in the 1990’s can be explained by the disappearance of an important strategic motive behind foreign aid altogether (e.g. Lancaster, 2008). This had however not been tested in quantitative terms, and thus we collected data on military spending in the Eastern bloc to serve as a proxy for the intensity of the Cold War. We found that there was a positive correlation between military expenditures in the east and western development assistance during the period 1970-1990. After the Cold War, military expenditures in the east have no correlation with western development assistance. This suggests that development assistance was used as a complement to recipient’s domestic military spending in producing strategic security within donor countries. Once the Cold War ended though, the immediate need for such investments in security and loyalty abroad largely disappeared, ending the connection between military spending in the east and western development assistance and causing overall aid levels to drop. Kilby and Fleck (2010) find a similar but reverse effect of the war on terror following the 9/11 attack on the US in 2001. Overall aid flows increased, and the allocation across countries became biased in favour of countries of greater importance to the US in the War on Terror.

Another strand of literature has focused on what happens to aid inflows when a country becomes a temporary member of the UN Security Council (UNSC). This literature looks primarily at the impact on aid from multilateral aid agencies such as the World Bank and the International Monetary Fund (IMF). The rationale for the analysis is the notion that (western) permanent members on the UNSC have strategic interest in showcasing broad majority support for their resolutions at the council. This gives them an incentive to “buy support” from temporary members through influence over multilateral aid agencies.

Accordingly, Dreher et al. (2009a) find that partner countries receive a greater number of aid projects from the World Bank during years of UNSC membership than during the years before and after membership. Similarly, Dreher et al. (2009b) find that participation in IMF programs increases during membership years, and that agreements have fewer policy conditions.

In a recent paper (Berlin Perrotta, Desai and Olofsgård, 2022) we look at temporary UNSC membership and World Bank aid. Following the previous literature, we analyse whether temporary UNSC members receive more aid projects, but with a larger data set. Providing originality, we also test whether partner country governments are given more leeway to allocate aid projects regionally for political purposes during the years of UNSC membership. The argument is that donors can give partner country governments benefits not only in terms of the amount of aid, but also the extent to which they are free to spend resources based on political interests rather than needs. More specifically, we test whether birth region of political leaders, and regions dominated by co-ethnics of the political leader in question, receive a particular boost to aid inflows during membership years. We select these indicators of domestic political importance based on an existing literature which suggests governments at times favour such regions for public spending (e.g., Bommer et al., 2022; Briggs, 2014).

Consistent with earlier findings, we confirm that temporary members of the UNSC receive a greater number of World Bank projects during membership years than what they would otherwise receive.  We also find partial support for the hypothesis that partner country governments have greater leeway to redirect projects to politically favoured regions. More specifically, co-ethnic regions get a boost in the number of projects and total aid inflows during membership years, whereas we find no similar impact in the leader’s home regions. More detailed analysis reveals that our results are driven by countries that persistently vote in line with the US in the committee, further supporting the interpretation that this reflects a trade of favours (Berlin Perrotta, Desai and Olofsgård, 2022).

The Consequences of Strategic Aid

But does the underlying motive behind foreign aid matter? Development aid can of course benefit social and economic welfare in a partner country if invested in activities with positive social rates of return (e.g., schools, health care and infrastructure), irrespective of any underlying motivation. A strategic motivation can even be beneficial if it means that partner countries receive more aid than they would do in its absence. Consider the drop in total western aid budgets after the end of the Cold War, and the increase after the start of the War on Terror, as previously mentioned. Similarly, often referred to as the first example of foreign aid, the Marshall Plan to help rebuild Europe after the 2nd World War, was not only motivated by altruistic reasons. It was explicitly motivated by the need to maintain US national security and safeguard US access to European markets. Yet, the plan is hailed as a success, vital to the reconstruction of Europe after the war. It is also evident that popular support for aid to Ukraine in western donor countries partly depend on the conception of a threat to Europe and the free world, facilitating/enabling governments to be generous in their support.

There are however also examples of where strategic considerations have motivated aid with very limited or even negative impact on economic development and social welfare in partner countries. In particular during the Cold War, in order to gain loyalty in the ideological battle between the superpowers, western aid often went to highly corrupt regimes with low absorptive capacity (e.g., Easterly, 2006). A frequently mentioned example is the case of the Democratic Republic of Congo (DRC) during the regime of Mobutu Sese Seko. The US provided the country with more than a billion $US in development aid between 1962 and 1991, under a kleptocratic regime that impoverished the country (see here). This without doubt helped the regime stay in power, and the aid was thus not just a waste of resources but directly counterproductive.

Another argument at the global level is that there always exists an opportunity cost in the sense that strategic objectives reallocate limited aid resources from where the need is the greatest, to countries more politically salient. Burnside and Dollar (2000) run a simulation based on their empirical findings, changing the actual (partially donor interest based) allocation of aid across partner countries to an allocation based on need and absorptive capacity (which they associate with macroeconomic policies). Within their sample, they estimate such a reallocation to increase per capita growth by 0,2 to 0,3 percentage points, from a mean growth rate of 1,1 percent. Such calculations are of course rough estimates, yet they give a ballpark figure.

In the case of Ukraine however, the first of these arguments carry little weight. Aid is not sustaining a dysfunctional government with little interest in its own population, rather the opposite is true. On the other hand, the argument of allocative efficiency may carry some weight at a global scale. The needs and the human suffering in Ukraine are immense but unfortunately there are other places in the world with such extensive suffering (Ethiopia, Yemen, and Somalia to mention a few examples). There is thus concern within the donor community that the attention to Ukraine will negatively affect resources and attention to other places in need of support, in particular since the war has externalities in the form of increased food and energy prices in low-income countries. Such argument however relies on the assumption of crowding out resources from a budget of given size. While hard to prove, it is probably safe to say that the strategic interest in Ukraine has in fact increased the total budget available. As for now, it is therefore not entirely clear to what extent resources to other nations in need will be crowded out. Yet, the UN’s appeal for Ukraine is more than 80 percent funded for this year, whereas the UN’s response plan for Afghanistan is around 38 percent funded, Yemen’s is around 27 percent funded and Sudan’s is around 20 percent funded (see here).

A third lesson from the literature concern the (lack off) strings attached when aid is strategic. Continuous aid to the corrupt and violent regime of Mobutu Sese Seke in DRC is an extreme example of this phenomenon. But, as previously discussed, it’s also been shown that temporary UNSC membership comes with fewer conditions in IMF agreements (Dreher et al., 2009b) and with more leeway to partner governments to allocate inflows for domestic political purposes (Berlin Perrotta, Desai and Olofsgård, 2022), which has been shown to have efficiency consequences. Dreher et al. (2018) use a typical panel growth regression setting to compare the contribution of aid to economic growth during the period around UNSC membership to that same contribution in other time periods and for comparable countries that have never been temporary UNSC members. They find that aid is less effective during UNSC membership years, which they allude to the strategic use of aid under these special circumstances. The point is that donor oversight and monitoring may be weaker when aid is strategically motivated. Alignment of the partner country government to the goals of economic development and social welfare, therefore, becomes even more important. At a time of massive aid inflows in a setting with less than perfect institutional control and a history of corruption, as is the case of Ukraine, this may have a detrimental impact on aid effectiveness unless proper safeguards are in place.

Conclusion

Foreign aid from western donors to Ukraine is partly motivated on altruistic grounds but it also reflects wider foreign policy objectives of the donors. The Russian aggression is perceived not only as an attack on Ukraine but as an attack on the existing rules-based world order and as part of a broader conflict between liberal democracy and authoritarianism. More donor-oriented motives behind foreign aid are referred to as strategic in the academic literature, and in this brief, I have given a short and selective introduction to that literature. In terms of foreign aid to Ukraine, the good news is that the combination of altruistic and strategic motives can generate greater aid flows and that, irrespective of the underlying motivation, such inflows can be effective if the priorities of donors and partner country government align around initiatives spurring economic development and social welfare. A potential concern is that the literature suggests that donors are more accepting of abuse of such funds, so the need to evade corruption and mismanagement may become particularly acute. On a global scale, there is also a concern about crowding out of aid resources away from other places in need when attention is focused on Ukraine. The severity of such crowding out will be a function of the extent of additionality of support to Ukraine, to the existing total aid budgets. It is thus important that governments in donor countries manage to maintain support for Ukraine, without forgetting about the needs elsewhere. With tough economic times ahead in Europe, this may unfortunately become a challenge.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Who Benefitted from the Gasoline Tax Cut in Sweden?

Posted on September 2, 2022 | Policy Brief

20220902 Who Benefitted from the Gasoline Tax Image 01

Against the background of fast rising gasoline and diesel prices in 2022, a number of European countries have reduced fuel tax rates, often in the form of temporary “gas tax holidays”. Sweden reduced its fuel tax rate by 1.81 SEK (€0.17) per litre on May 1st 2022, of which 1.31 SEK is a temporary reduction set to expire at the end of September. When the tax holiday was announced, Finance Minister Mikael Damberg commented “I am pragmatic, for me it is important that we can compensate households” (Davidsson and Nilsson, 2022). However, just one month after implementation, the pump price for gasoline rose to a new high, which gives rise to the question of how much of the tax cut has actually been passed through to the consumers. In this policy brief, we analyse the tax incidence by comparing the gasoline price development in Sweden to that in Denmark, where the fuel tax rate remained unchanged. We find that the tax reduction was fully reflected in consumer prices, with a pass-through rate of around 100 percent. Nevertheless, we argue that spill-over effects pushing up gasoline prices outside of Sweden are likely biasing our estimate. Based on economic theory, we conclude that our estimate of the pass-through rate needs to be corrected downwards, meaning that only a part of the tax cut benefit was passed along to Swedish consumers.

Introduction to Tax Incidence

In standard economic theory, the pass-through rate to consumers from a change in gasoline tax rates is determined by the equation:

20220902 Equation

where p is the tax inclusive price, t is the tax, and η and ε are the price elasticities of supply and demand, respectively. The price elasticities give us the percentage change in quantity when the price changes by one percent. It follows from this equation that the relatively inelastic side of the market bears most of the tax burden from a tax increase – or most of the benefit from a tax reduction. Under normal circumstances, short-run demand for gasoline is highly inelastic in Sweden, with ε close to zero (Gren and Tirkaso, 2020; Dahl, 2012). In contrast, short-run supply is considered relatively elastic due to the competitive nature of the industry. Thus, changes in gasoline tax rates in Sweden are usually passed through fully to the consumers (Andersson, 2019). This implies that consumers bear the entire burden in the case of a tax increase but reap all the benefits in the case of a tax reduction.

Using Denmark as a Counterfactual

The problem is that existing price elasticity estimates – computed using historical price data – do not capture the temporary supply restrictions in the context of the war in Ukraine or the supply and demand shocks from the Covid-19 pandemic. In the lack of reliable estimates of current price elasticities, we revert to analysing the tax incidence using a quasi-experimental and empirical approach. This requires a counterfactual – a comparison unit that captures the evolution of gasoline prices in Sweden had the tax cut never been implemented. Denmark is well suited for this purpose given that it is geographically close, socio-economically comparable, and has similar levels of gasoline tax rates as Sweden. More importantly, Denmark has not made any recent fuel tax rates changes.

Figure 1. Gasoline pump price in 2022

Figure 1. Gasoline pump price in 2022

Source: Gasoline prices in Sweden and Denmark are provided by CirkleK (2022). Daily exchange rates are provided by Riksbanken (2022).

Figure 1 shows that the gasoline price in Sweden and Denmark track each other closely, displaying parallel trends in the time period leading up to the announcement of the tax cut on March 14. This reassures us that Denmark is a credible comparison unit for Sweden. Gasoline prices start diverging in the interim period of around 7 weeks between the announcement and the implementation of the policy. The fact that the gasoline price in Sweden is slightly higher during this period than in Denmark provides some speculative evidence that suppliers in Sweden intentionally raised prices in anticipation of the tax cut, allowing them to capture parts of the benefit. As soon as the tax cut enters into effect, the gasoline price is notably lower in Sweden compared to Denmark, although prices continue to rise until June.

Figure 2. Gap plot of price difference

Figure 2. Gap plot of price difference

Note: The figure plots the difference between the Swedish and Danish gasoline prices from Figure 1.

It can be observed graphically from the gap plot in Figure 2 that most of the tax cut of 1.81 SEK was immediately passed through to Swedish consumers on May 1. Furthermore, there are no obvious signs of the effect wearing off over time; the pass-through rate remains fairly constant over the three months following the tax cut.

In order to obtain estimates of the pass-through rate, we run a simple difference-in-differences regression – comparing the average difference in gasoline price between Sweden and Denmark both before and after the tax cut. The price reduction after the introduction of the tax holiday is estimated at -1.89 SEK per litre compared to the price level before the introduction. This estimate is statistically significant and indicates a pass-through rate slightly above 100 percent. But since the price development in the interim period raises concerns about strategic price setting, it appears more appropriate to use the price level before the announcement as a baseline. By doing that, we find a relative reduction in the Swedish gasoline price of -1.82 SEK per litre, matching the size of the tax cut almost exactly, with a pass-through rate of 101 percent.

The Estimated Pass-through Rate Is Biased

Our finding is in line with recent work on the German counterpart – known as the “Tankrabatt“. On June 1st 2022, the German Government lowered taxes on fuels for a duration of three months, amounting to a total tax relief of around 35 cent for gasoline and 17 cent for diesel, respectively. A number of studies find a full or close to full pass-through rate from the Tankrabatt, with estimates ranging between 85 and 102 percent (Fuest et al., 2022; Dovern et al., 2022; Montag and Schnitzer, 2022). Analogous to our approach, these studies rely on a comparison with a counterfactual unit, either France or a weighted average of Germany’s neighbouring countries.

Yet, by focusing on the pass-through rate at the national level only, we risk not capturing the full tax incidence. The supply of gasoline is more inelastic at the EU level than at the national level. As Sweden cuts the tax on gasoline, the after-tax price falls and this leads to an increase in demand; supply adjusts as more gasoline comes in from neighbouring countries. At the aggregate level however, supply is more constrained, so the tax cut in Sweden results in a marginal increase in gasoline prices across countries in the EU. This marginal increase in prices amplifies as more countries implement their own tax cuts. Indeed, Sweden and Germany are not the only countries to have implemented tax cuts in response to increasing oil prices, but are part of a larger group of countries to have done so, including Belgium, Italy and Poland (Sgaravatti, Tagliapietra, and Zachmann, 2022).

The spill-over effect from the tax cuts onto gasoline prices in “untreated” countries has two important implications for our analysis. First, our estimated pass-through rate to consumers in Sweden is biased upwards. The gasoline price development in Denmark can only act as a credible counterfactual for that in Sweden in the absence of the tax cut provided that it is not affected by the tax cut itself. But this condition is not fulfilled as the tax cuts employed in Sweden and elsewhere can be suspected to have led the gasoline price in Denmark to increase more than it would have otherwise. Estimates of pass-through rates near 100 percent thus appear overstated and consumers likely benefit less from the tax relief in reality. Second, the benefit to consumers in countries that implement gasoline tax cuts comes at the expense of consumers in countries without such measures in place. An analysis of tax incidence at the national level may find that most of the benefit from the tax cut is captured by consumers, whereas an analysis at the EU level as a whole would instead find that a much larger share of the benefit is actually captured by the supply side – in and outside of Sweden. This demonstrates that the national incidence of the tax cut is different from an international one.

The Swedish Tax Cut Benefits Producers and Richer Households

The prevalence of spill-over effects makes it difficult to conduct causal inference analysis and estimate the true effect of transport fuel tax cuts empirically. Still, the previously outlined theoretical framework on tax incidence can help provide valuable insights. As discussed, gasoline demand is much more inelastic than supply in normal times, so we could expect the tax cut to be passed through to consumers at fairly high rates. However, gasoline supply today is likely more inelastic than usual in light of the repercussions from the economic fallout of the Covid-19 pandemic and the Russian invasion of Ukraine: with oil companies unable to ramp up production in the short term because of underinvestment into existing and new fields during the pandemic (Ashraf et al., 2022). In Europe, Russia accounts for more than 20 percent of the oil supply but production in Russia has gone down since the launch of the war in Ukraine. Many European companies had started to engage in self-sanctioning by cutting ties with the Russian energy sector even before the European Council agreed to embargo most oil imports from Russia by the end of the year 2022 (Adolfsen et al., 2022). Furthermore, the refining industry is facing capacity constraints due to shutdowns that took place in the course of the Covid-19 pandemic as well as high prices for gas powering its operations. All of these factors together illustrate why gasoline supply at the EU level has become more inelastic in the past weeks and months. As a consequence, the relative elasticity of gasoline supply and demand is distorted towards benefitting the producers more than usual. Hence, we can infer from economic theory that not all of the benefit from the gasoline tax cut went to Swedish consumers, but that producers in Sweden and abroad captured some of it.

Apart from this, the tax cut does not benefit all households equally. Among the 20 percent of households with the lowest disposable income in Sweden, only about half have a direct expenditure on transport fuel. But among the 20 percent of richest households, around 95 percent have positive transport fuel expenditures (Statistics Sweden, 2020). A cut in transport fuel tax rates therefore disproportionately benefits high-income households in Sweden.

Finally, it is important to keep in mind that the transport fuel tax cuts employed in various countries do not come without a price tag – they represent a cost to the state budget and ultimately its citizens in the form of foregone tax revenues. In the case of Sweden, this amounts to 6.2 billion SEK in 2022, or around $60 per person (Swedish Government, 2022; Ministry of Finance, 2022). A broader evaluation of the welfare effect of the tax cut needs to take into consideration what the tax revenue would have been spent on had the tax cut not been implemented.

Conclusion

In mid-August, a report published by Konjunkturinstitutet (National Institute of Economic Research) stirred up the public debate on the gasoline tax holiday in Sweden. According to their report, considering what they call a notification and a pick-up effect (Konjunkturinstitutet, 2022), only 62 percent of the tax reduction on gasoline was passed on to Swedish consumers. The authors claim that sellers of gasoline exploited their market power through charging higher prices in the weeks leading up to the introduction of the tax reduction – the notification effect – and again shortly after the introduction – the pick-up effect. In this policy brief, we obtain a considerably higher estimate of the pass through rate of around 100 percent. In addition, we only find evidence for a weak notification effect and do not share the view that a pick-up effect has taken place.  Even though our studies have in common that we consider Denmark as a counterfactual, we see several advantages in our empirical methodology that may explain the different results: The data we use for both Sweden and Denmark come from the same gasoline company, which improves the comparability of prices. The time period we study after the tax cut covers three months instead of only one, and our finding is robust to the inclusion of a time trend, whereas the main results in the report by Konjunkturinstitutet (2022) rely heavily on the addition of such variable in their model.

What we would like to emphasise in the present case is that any methodology based on counterfactuals is prone to bias. If you shift the level of analysis from a single country in isolation to the whole of the European Union, it becomes clear that the Swedish gasoline tax cut brings about a marginal increase in gasoline prices outside of Sweden. This is why our estimates are likely biased upwards, revealing a flaw in both this study and the report by Konjunkturinstitutet (2022). In order to pin down the true pass-through rate to a precise number, a more comprehensive analysis is needed, although this may prove difficult. Without reliable empirical results, we should trust economic theory until now. The conclusions we can already draw are the following:

  • Firstly, some of the benefits from the tax reduction is passed through to Swedish consumers but a full pass-through is an overstatement. It is important to note that even if gasoline companies only capture a small percentage of the benefit, this can still amount to large profits in absolute terms.
  • Secondly, the gain from the tax reduction in Sweden produces losses for consumers in countries that have not lowered their tax rates.
  • Thirdly, the policy favours high-income groups as the gains are not distributed equally among consumers within Sweden.
  • Lastly, the corresponding loss in government revenue could potentially reduce welfare where expenditure is cut.

At the bottom line, the above economic reasoning suggests that the pass-through of the gasoline tax reduction to Swedish consumers is limited. And while we arrive at a similar conclusion as the report by Konjunkturinstitutet (2022), we follow a different line of argument. In our view, the reason for the imperfect pass-through to consumers does not necessarily lie exclusively in strategic price setting on the part of gasoline companies, but in the dynamics of the global market.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Hedging EU’s “Winter Risk” by Curbing Gas Demand: Solidarity, Nudge, and Market Solutions

Posted on July 27, 2022 | Policy Brief

20220727 Hedging EU Winter Risk 01

The concern of Russian gas supply disruption and its implications has never been as serious. Experts agree that supply-side measures would not be enough to cover the shortage. Demand cuts are needed. The EC has just proposed a solidarity-based plan of 15% gas demand reduction across the EU Member states. However, getting all EU countries to commit to this plan has been challenging due to asymmetries in their exposure to the Russian gas crisis. As a result, the EU approved a compromise plan with numerous exemptions. This brief argues that market-based solutions may improve participation incentives helping the EU to coordinate decreasing gas demand.  Nudging energy consumers to lower their demand may be an efficient complementary solution. All member states should adopt this latter strategy now, as it takes time to trigger behavior changes in energy consumption. Acting now should strengthen resilience in the coming winter.

Background

Since the beginning of the conflict between Ukraine and Russia, both politicians and analysts have expressed concerns about cuts in Russian gas supply and their implications for the European economy. These concerns have only deepened as the crisis has unfolded. First, Russia stopped gas deliveries to five EU member states in April 2022 following their refusal to pay for gas in rubles. Then, Gazprom cut the capacity of the NordStream pipeline, initially by 40% and then by another 20% in June 2022, claiming technical problems originating from sanctions (i.e., a sanction-driven late return of a gas turbine repaired in Canada).

Gazprom’s July 18th announcement of its inability to deliver contracted gas amounts due to “force majeure” further added to the concern. Meanwhile the EU has dismissed the alleged technical failure stressing political reasons. According to EC President Ursula von der Leyen, the delivery stop reflects a “use of energy as a weapon”.
The panic somewhat settled on July 21, 2022, when Russian gas shipments via Nord Stream resumed at 40% of its original capacity, i.e., the mid-June level. However, Gazprom just announced another cut to 20% of the original capacity from July 27th. Overall, Russian gas exports to the EU are unprecedently low, see Figure 1.

Figure 1. Russian gas exports 2021 vs. 2022

20220727 Picture 1

Source: McWilliams, B., G. Sgaravatti, G. Zachmann (2021) ‘European natural gas imports’, Bruegel Dataset, based on Entsog

Whether Russian gas supplies are likely to be stopped completely in a very close future is unclear. In similar vein, the IEA Executive Director, Dr Fatih Birol, warns that “…it would be unwise to exclude the possibility that Russia could decide to forgo the revenue it gets from exporting gas to Europe in order to gain political leverage”. Regardless of this risk, large-scale adjustments are necessary even under the more optimistic scenario with Russian gas supplies kept at the current level.

The most direct way to tackle the shortage of Russian gas is from the supply side. It can be done via three main channels: diversification of gas suppliers, replacement by alternative fuels, or use of storage. Multiple sources have studied these options extensively (see, e.g., SITE (2022) for an overview of earlier assessments, as well as Di Bella et al. (2022) for more recent estimates and a literature overview). Despite different shortage estimates across reports, experts agree that supply adjustment will not be enough to compensate for ‘the missing Russian gas. This suggests that curbing demand will be a substantial part of gas crisis management.

Most of the demand-linked measures decided by the EU member states have been to counteract the sky-rocking gas prices and subsidize gas consumption by setting a price cap or providing an energy check (see von der Fehr et al. 2022 for an overview). While such measures may protect consumers against increased energy bills in the short run, they foster energy consumption rather than curb it. However, on July 20th, the European Commission issued a plan for the EU nations to cut their gas consumption by 15% between August 2022 and March 2023. This move is part of a wider EU strategy to respond to the gas crisis by pushing for a solidarity mechanism between the member states, including pooling (i.e., sharing) of economic losses. While the targets in this plan would be voluntary, the restrictions could become binding in an emergency. The main demand restrictions would apply to the industrial consumers, but countries are also expected to facilitate households’ demand adjustments. This plan faced resistance from a range of EU Member states, claiming unfairness of 15% cut for their countries, or objecting binding demand cuts for their countries. The resulting compromise agreement, accepted by the EU states on July 26th, incorporated numerous exemptions for both countries and industries.

This brief focuses on the current options in the EU to curb energy demand. We discuss the feasibility of a solidarity mechanism in this context and offer economic mechanisms that may improve its functionality. We also stress the important policy features in incentivizing consumer response.

Solidarity Rule and Market Mechanism

Solidarity and coordination between Member states constitute a crucial part of EU’s response to the current gas crisis. Implementing these rules would limit the direct (gas shortage) and indirect (price-driven) shocks through, e.g., mutual backing-up and buyer power (see, e.g., Le Coq and Paltseva, 2012, 2022 or IEA, 2022).

The solidarity approach was discussed long before the current gas crisis, at least since 2006 (EC, 2006). However, its implementation has proven challenging because of the energy-related asymmetries between Member states in terms of import dependency, diversification of suppliers, energy portfolio, etc. These asymmetries undermine a “one size fits all” policy approach and make some countries consistently benefit more from solidarity mechanisms than others. The solidarity mechanism may also create moral hazard problems (Le Coq and Paltseva, 2008). As a result, the EU could never fully adopt a common energy policy approach.

The recent EU call to cut energy demand by 15% is subject to the same shortcomings. The EU countries are unequally affected by the current gas crisis due to differences in their exposure to Russian gas, access to storage or alternative fuels, gas transportation bottlenecks, etc. These differences undermine countries’ willingness to coordinate as witnessed by Portugal’s and Spain’s explicit opposition to the call on the ground that their energy reduction would be unfair given their energy portfolio with almost no Russian gas. Poland, whose gas storage is full, and Hungary, whose government imposed an export ban on gas earlier in July, have also objected the deal.

There are several ways to improve coordination: one could provide part-taking incentives via a monetary transfer scheme, incorporate demand-side energy cuts into a larger political agenda so that the (asymmetric) losses in one area are compensated by gains in another one (Le Coq and Paltseva, 2008). However, both solutions are likely unfeasible in the current, relatively short-run context, as they require the collection of large volumes of information to determine the correct transfer size. Additionally, the incentives for EU countries to correctly report such details might be low. One can also design a mutual support scheme with country-specific participation requirements/exemptions. This solution, while also informationally demanding, may be easier to achieve. It is likely to improve participation incentives, but the effects of solidarity may be weaker than under a plan without exemptions.

The EU decided to follow this latter route: On July 26th, the EU managed to reach an agreement on a softer plan with multiple exemptions from the 15% cut, accounting for countries’ energy market asymmetries (as well as much more demanding procedure to make the demand cut binding). While this agreement is definitely a step forward, it is currently uncertain whether it would be sufficient to meet the gas demand challenges in the coming winter.

A number of market solutions can potentially improve on the situation. For example, one could establish a market for energy demand reduction quotas in line with the cap-and-trade program designed for CO2 emissions. Alternatively, an emergency gas auction (like the one discussed in Germany for industrial firms) could allow gas savings to be offered in an auction. The winning, cheapest bid would get a market-price level compensation. Of course, such market mechanisms are likely to imply (at least some) consumers will face surging gas prices, but this appears inevitable in view of the difficulties to implement rationing mechanisms to cope with the reduced gas supply.

Market solutions could also be implemented at member state level. However, such an implementation would likely limit solidarity between member states and increase the costs associated with reduced gas consumption. Indeed, purely national solutions (almost by definition) lack solidarity mechanisms between member states and in addition inhibit that the gas reductions take place where they are the least costly.

Nudging and Information Campaign

Given the gas crisis and implementation frictions, the EU should benefit from complementing the regulatory and market solutions (mainly targeting the industry) by incentivizing the demand-cutting behavior of private consumers. There are many ways to trigger behavioral change, from changing legislation to nudging consumers to persuade them to lower their gas (and energy) consumption. Some nudging policies have been successful in the past. One example is Japan’s “setsuden” (electricity-saving) campaign, run after the 2011 Fukushima nuclear plant disaster. It started as an unofficial movement and continued into regulatory restrictions for large firms and voluntary but highly encouraged household targets. The information campaign stressed how close the country was to blackout and successfully prevented blackouts.

In the current crisis the EU states’ policies towards consumers were concentrating on shielding them from high energy prices (see von der Fehr et al, 2022 for an overview). Nudging and energy-saving information campaigns in the EU are yet to gain momentum. Some of the larger EU members are leading the movement. For example, in France, the president called for an immediate “energy sobriety” on the last National Day. Businesses and public buildings were asked to switch off the light at night and anticipate a lower winter heating consumption. While fines for infringement are under discussion, the French government is hoping for a nudging effect. Similarly, Germany has started an intense information campaign to convince individuals to reduce their electricity consumption by taking fewer showers and turning down the air conditioning. However, much broader, intensive energy-saving campaigning is urgently needed to lower energy demand effectively.

Several results from the experimental economic literature motivate such campaigns. The first point concerns the usefulness of nudging in the energy context. The evidence on the effect of incentivizing consumers’ energy saving behavior via monetary or non-monetary interventions is mixed (see Andor and Fels, 2018 and Lingyun Mi et al., 2022 for an overview). However, a recent meta-study combining the results from 112 field trials between 1976 and 2021 (Lingyun Mi et al., 2022) supports the effectiveness of non-monetary incentives (such as nudging by providing information or offering social comparisons) in creating energy-saving behavior. Moreover, it finds that non-monetary incentives are also more effective and longer lasting in promoting energy conservation than the monetary ones. One possible reason for this finding is that non-monetary incentives may affect individual’s values and their intrinsic motivation to save energy. This result implies that information campaigns, target-setting, and providing social comparisons can be an effective and relatively cost-efficient way to lower energy demand.

The second question concerns the timing of such intervention. Again, while there is no clear-cut evidence concerning the long-term impact of nudging, some literature documents effects lasting months and even years after the intervention stopped (Andor and Fels, 2018 overview a few such studies). Further, the same meta-study by Lingyun Mi et al., 2022 found that interventions lasting 1–6 months were the most effective. A combination of antecedent (before actual behavior, such as goal setting) and consequence (when the incentives to act are affected by the results of the action) nudge-based interventions produced the best energy-saving effect. These findings suggest that campaigns should start now to be ready for the winter 2022-23 season.

Last but not least, there is evidence that energy conservation goal-setting is effective only when the goals are realistic. For example, in Harding and Hsiaw (2014), a moderate energy saving goal set by a household led to a sizable consumption reduction, and the effect lasted for one and a half years. With more ambitious goals the initial strong response quickly vanished. Finally, there is no consumption adjustment pattern with unrealistically high goals. One possible, even if somewhat stretched, interpretation of these results could be that a drastic change in consumption may be more challenging to incentivize through nudging than a series of more minor adjustments. This consideration provides another rationale for the early start of nudging policies, suggesting a meager initial consumption reduction, and gradually increasing the threshold.

Conclusion

Cutbacks in gas consumption are essential to surviving the EU energy crisis, especially in case of a complete Russian gas halt. The EC has recently proposed a plan for the EU nations to decrease their gas consumption by 15% between August 2022 and March 2023. This plan is included in a wider solidarity approach to EU energy crisis management. However, approval of this plan by the EU nations faced difficulties due to asymmetries in exposure to Russian gas across EU member states and the resulting unwillingness to share the costs of the crisis. The resulting compromise plan features multiple exemptions from the 15% rule. Market solutions, such as trade in demand reduction quotas, may help to improve EU coordination on demand reduction. Another essential component of crisis management is the EU-wide nudging of private consumers encouraging energy saving behavior. Based on historical examples and the experimental literature such nudge-based policy may be effective and cost-efficient if started now.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Will Entrepreneurs Be Able to Reactivate the Belarusian Economy?

Posted on June 13, 2022 | Policy Brief

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Based on data from two recent waves of the Global Entrepreneurship Monitor (GEM), we demonstrate that the Coronacrisis gave birth to many new necessity-driven entrepreneurs who will likely alleviate the current challenges of unemployment and income losses in the short- and medium-term. The readiness and willingness of Belarusians to become entrepreneurs in a harsh business environment could be considered a good sign for the economy and society. However, such businesses may fail to deliver a positive long-term impact on the economy, while the detrimental consequences of the war in Ukraine undermine the potential and sustainability of growth-driving businesses with international and innovative orientation.

Crises and Entrepreneurial Activity in Belarus

During the past 15 years, the Belarusian economy and, in particular, Belarusian entrepreneurs have experienced several crises of different scopes, nature, and origins (in 2009, 2011, 2015-2016, 2020). During these periods, Belarusian private enterprises responded faster to both negative and positive trends in the economy compared to state-owned firms. This has for instance manifested itself in private sector firms being swifter in decreasing or increasing the size of the work force in recessions or recoveries (IMF, 2019).  Stagnating demand also led to deteriorating business opportunities that in turn incited a decrease in the number of both nascent and matured entrepreneurs. In line with Cowling et al. (2015), these circumstances suggest the presence of a procyclical trend in the entrepreneurship development in the country. In the same vein, the period of economic growth brought new entrepreneurs to the market to pursue business opportunities.

However, results from two waves of the Global Entrepreneurship Monitor (GEM), conducted in May-June 2019 and June-July 2021 demonstrate that notwithstanding the Coronacrisis, political unrest, and worsening business climate, the Belarusian economy experienced an influx of entrepreneurs (not necessarily officially registered as a firm or sole proprietor). These findings contribute to the discussion on the motivation, potential, and effectiveness of this wave of entrepreneurs for the economy.

Belarusian Context for Entrepreneurs in 2019-2021

After the 2015-2016 economic crisis, 2019 represented the third consecutive year of moderate economic growth in Belarus. The gradual liberalization of the economic activity, as well as the give-and-take relationship with Eastern-European neighbors and the West, fueled the enthusiasm of Belarusian entrepreneurs, especially in the medium- and high-tech sectors. The year 2019 was supposed to be highly conducive to entrepreneurship. These conditions were captured by the GEM Belarus 2019/2020 (2020).

However, as in most other countries, small businesses were more affected by the pandemic than large enterprises in Belarus. Moreover, many of them were left to fend for themselves in dealing with COVID-related challenges, as only a small portion of enterprises benefitted from state support measures (Marozau et al., 2021). The recovery period was abrupted by the political crisis that broke out after the presidential elections in August 2020. This political unrest resulted in increased pressure on the private sector and NGOs as well as tensions with EU countries and Ukraine. Many famous entrepreneurs were forced to immigrate and re-locate their businesses. Consequently, GEM Belarus 2021/2022 (2022) captured a new reality of the Belarusian entrepreneurial ecosystem.

How the Entrepreneurship Indicators Changed

According to the GEM 2021/22 survey, Belarus experienced an increase in the percentage of the adult population (18-64 years old) involved in all stages of the entrepreneurial process (Figure 1). Nevertheless, the level of the total early-stage entrepreneurial activity (which includes nascent entrepreneurs – up to 3 months old businesses and baby businesses – 4–42 months old) is still lower than one might predict based on the country’s level of economic development (Figure 2).

These positive changes are paradoxical because, according to the survey, Belarusians were not enthusiastic about the opportunities to start a business – respondents reported a high level of fear of business failure, and that the entrepreneurial framework conditions had deteriorated.

Figure 1. Percentage of the adult population involved in the entrepreneurial process

Source: GEM Belarus 2019/2020 & 2021/2022

Figure 2. Early-stage entrepreneurship rates and GDP per capita.

Source: GEM 2021/22 Global Report (Hill et al., 2022)

Moreover, the GEM survey reveals that the profile of early-stage entrepreneurs changed between 2019 and 2021 – the educational level of early-stage entrepreneurs increased, while their income level followed a negative trend. A plausible explanation for these changes could be that a relatively well-educated part of the population, employed in the sectors that were harshly hit by the pandemic (HoReCa, Sport & Leisure, etc), decided to start a business out of necessity due to wage shrinkages or layoffs. Therefore, neither a low level of opportunity perception nor an aggravating business climate kept them from starting an enterprise.

Support for this argument can be found if we examine the reasons why Belarusians started businesses in 2021 (Figure 3). The shares of both nascent entrepreneurs and owners of baby businesses that report ‘earning a living because jobs are scarce’ increased by about 20 percentage points. This phenomenon, when a depressive market reduces employment opportunities and forces individuals into becoming entrepreneurs, is regarded as necessity-driven entrepreneurship (Gonzalez-Peña et al., 2018).

Figure 3. Reasons to start a business

Source: GEM Belarus 2019/2020 & 2021/2022. Note: Respondents could strongly agree, somewhat agree, neither agree nor disagree, somewhat disagree, or strongly disagree with statements reflecting the reasons they were trying to start a business. Figure 3 provides the cumulative share of those who strongly agree and somewhat agree.

Keeping in mind that the unit of analysis in the GEM is on the individual and not the enterprise level, we can suggest a cautious hypothesis that the trend in entrepreneurship development in Belarus has changed from being pro-cyclical to countercyclical in the short term.

It is already obvious that the negative impact of the pandemic and political unrest on Belarusian businesses cannot be compared with the devastating effects of the Russian invasion of Ukraine. In this context, the countercyclical trend or, in other words, the readiness and willingness of Belarusians to become entrepreneurs against all odds, could be considered a good sign for the economy and society. However, such necessity-driven entrepreneurs are more focused on achieving a sufficient standard of living than on expansion and innovation. It is known that the growth and innovative orientations of businesses (product and process innovation, activity in technologically intensive sectors) are important predictors of technological change and total factor productivity (Erken et al, 2018). From this perspective, according to the GEM 2021/2022, Belarus is still doing relatively well in terms of impactful early-stage entrepreneurship (international and innovative orientation, growth expectations, and technological intensity). However, businesses with these characteristics are usually led by opportunity-driven entrepreneurs and are more sensitive to changes in the external environment. Therefore, the detrimental consequences of the Russian aggression against Ukraine (difficulties with payments and logistics, export/import restrictions, and tarnished reputation of Belarus) have already undermined the potential and sustainability of most such businesses and jeopardized the socioeconomic development of the country.

So, the answer to the question of whether Belarusian entrepreneurs will be able to reactivate the economy is rather ‘no’. Based on GEM 2021/2022 data, we argue that the augmented entrepreneurial activity rate will plausibly alleviate the problems of unemployment and income losses in the short- and medium-term, but may not have a strong and long-lasting effect on the economy as a whole.

Conclusion

The 2021 wave of the GEM survey has documented an increase in the share of the population involved in the different stages of the entrepreneurial process in Belarus. This, however, appears to be the outcome of the pandemic-related economic crisis, which manifests itself in income losses and layoffs. As a result, the crisis produced new necessity-driven entrepreneurs with vague prospects.

In this regard, policymakers should realize that stimulating self-employment and small-scale entrepreneurship may indeed be a temporary solution to unemployment issues. If this is the aim, the toolkit to support such businesses is well elaborated and accessible to the government (it includes educational & consulting services, easy access to finance, etc.).

As for impactful entrepreneurship, hardly anything can be done by the current government to retain innovative and international business in Belarus against the backdrop of the consequences and global reactions to the war in Ukraine.

References

  • Cowling, M., Liu, W., Ledger, A., & Zhang, N. (2015). “What really happens to small and medium sized enterprises in a global economic recession? UK evidence on sales and job dynamics”, International Small Business Journal, 33(5), 488-513.
  • Erken, H., Donselaar, P., & Thurik, R. (2018). “Total factor productivity and the role of entrepreneurship”. The Journal of Technology Transfer, 43(6), 1493-1521.
  • GEM Belarus 2019/2020, (2020). “Global Entrepreneurship Monitor Report GEM Belarus 2019/2020”.
  • GEM Belarus 2021/2022. (2022). “Global Entrepreneurship Monitor Report GEM Belarus 2021/2022”.
  • González-Pernía, J. L., Guerrero, M., Jung, A., & Pena-Legazkue, I. (2018). “Economic recession shake-out and entrepreneurship: Evidence from Spain”. BRQ Business Research Quarterly, 21(3), 153-167
  • Hill, S., Ionescu-Somers, A., Coduras, A., Guerrero, M., Roomi, M. A., Bosma, N., … & Shay, J. (2022). “Global Entrepreneurship Monitor 2021/2022 Global Report: Opportunity Amid Disruption”.
  • IMF. (2019). “Reassessing the Role of State-Owned Enterprises in Central, Eastern, and Southeastern Europe”, 19/11.
  • Marozau, R., Akulava, M., & Panasevich, V. (2021). “Did the Government Help Belarusian SMEs to Survive in 2020?” FREE Network Policy Brief Series.

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Economic and Social Context of Domestic Violence: Research Shared at the 2022 FROGEE Conference

Posted on June 7, 2022 | Policy Brief

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This brief summarizes the research papers presented at the 2022 FROGEE conference “Economic and Social Context of Domestic Violence”, which took place on May 11, 2022. It was organized by the Stockholm Institute of Transition Economics (SITE) together with the Centre for Economic Analysis (CenEA) and the FREE Network. Two additional briefs related to the conference are published on the FREE policy briefs website – a brief on gender-based violence in conflict based on the panel discussion, and another sharing preliminary results from the recent FROGEE survey.

While the concerns about domestic violence (DV) and intimate partner violence (IPV) have been gaining prominence since the start of the COVID-19 pandemic, they were further exacerbated by the devastating events happening in Ukraine. Times of crisis or conflict makes the issue more severe, however, gender-based violence is sadly prevalent at normal times too, and a major portion of it is DV and IPV. Limiting violence towards women requires understanding the determinants of DV and IPV and the channels through which they take effect. With this in mind, the Stockholm Institute of Transition Economics (SITE) together with the Centre for Economic Analysis (CenEA) and the FREE Network invited researchers to present their work relating to the economic and social context of domestic violence. This brief provides an account of what was shared at the conference.

Prevention of Domestic Violence: What Works and What Doesn’t?

Three presented studies geared toward evaluating policies aimed to limit violence against women.

Dick Durevall shared his findings on IPV and national policy programs in Colombia, focusing on the laws and policies implemented based on the UN campaign “UNiTE to End Violence Against Women” between 2010 and 2015. To evaluate the effect of these policies, he adopts a differences-in-differences design and compares provinces that had a gender policy before this renewed effort with those that did not. This builds on the idea that provinces that had an IPV policy strategy before UN recommendations were adopted are more efficient in implementing new such policies. It is found that self-reported physical violence falls from 20% to 16% between 2010 and 2015 in provinces that had IPV policies while this number remained at 18% in those that did not. While sexual violence decreased in both groups, provinces with IPV policies experienced a stronger reduction.

Accurate reporting is a key issue when it comes to IPV since it makes up the foundation for designing effective policy. Due to long-lasting and tiresome judicial procedures, threats, social barriers, or emotional costs, victims might choose not to report. Looking at the introduction of specialized IPV courts in Spain, Marta Martínez-Matute presented her paper on how institutions shape reporting. Bestowed with specialized staff, victim-oriented resources, and a swifter judicial process, these courts are specifically designed to deal with IPV cases. Martínez-Matute and co-author investigate if these resources make women more prone to report IPV by exploiting the sequential rollout of specialized courts. They use yearly court-level data on individual IPV cases between 2005 and 2018 in a staggered difference-in-differences framework with matched control districts. The results show that the introduction of an IPV court in a judicial district reduces the length of the judiciary process by 61% and increases the reported number of IPV cases by 22%. Ensuring that this increase is not fully driven by a rise in false reports, it is found that the share of dismissed IPV cases remains unchanged. Further, it is shown that the increase is driven by less severe IPV cases and not aggravated IPV offenses or homicides.

A distinctive feature of DV crimes is that there is a high degree of recidivism, with many women experiencing repeated violence from the same partner. However, little is known about how police should respond to such crimes to ensure safety to those victimized. From one perspective police arrests deter repeated DV crimes since they incapacitate perpetrators and allow police to investigate while offering safety to victims. However, some argue that this safety is merely temporary and that DV arrests might trigger offenders to retaliate against victims, leading to increased long-term DV. Against this reasoning, Victoria Endl-Geyer presented a study on the relationship between police arrests and DV dynamics in the UK. It uses highly granular administrative data on the population of DV incidents in the West Midlands which allows the researchers to observe the detailed information on the incidents’ timing and location as well as on police officers and their crime scene responses. It adopts an instrumental variables approach using the dispatch team’s previous propensity to arrest (measured as the weighted average arrest rate of officers in the team) as an instrument. The results provide evidence consistent with a deterrence effect. While regular OLS estimates show an insignificant impact, the IV results indicate that an on-scene arrest decreases repeat DV incidents by 25-26 percentage points. They find that the effect is the same when restricting the sample to incidents reported by a third party, supporting that this effect is not driven by a change in reporting behavior.

Factors of Domestic Violence and its Mechanisms

Other studies presented at the conference focused less on policy assessment and more on identifying the determinants of IPV and DV.

Losing or obtaining a job causes a shock in the intra-relationship dynamics and changes the economic power balance between spouses. Deniz Sanin presented her paper on the DV effect of women’s employment in the context of Rwanda. Following the government-initiated National Coffee Strategy in 2002, the number of coffee mills in Rwanda increased from 5 to 213 over the course of ten years. This natural experiment allows studying the effect of having a paid job as it captures the shift from unpaid labor on a family farm to paid work on a mill, keeping job-related skills constant. Using survey data on both DV and labor market outcomes along with administrative data on DV hospitalizations, the study adopts a staggered difference-in-differences strategy and compares women before and after mill opening as well as within and outside of the catchment area (a buffer zone surrounding the mill). The results show that upon mill opening, the probability of working for cash increases and that of self-reporting domestic violence in the past 12 months decreases by 26% (relative to the baseline of 0.35). During the harvest months, the only period of the year in which the mills operate, hospitals are significantly less likely to admit DV patients compared to the month before the harvest season, suggesting that the initial results are not driven by reporting bias. Looking at the mechanisms, she finds evidence supporting an increased bargaining power explanation – women in catchment areas who are exposed to mill opening are more likely to have a bigger say in household decisions such as larger household purchases and contraception usage. Increases in husbands’ earnings and decreased exposure are also ruled out as possible channels since a decline in DV is also found among spouses where the husband works in a different occupation with no change in earnings.

Rather than studying the impact of women’s employment status, Cristina Clerici shared a related paper that focuses on male unemployment. To investigate its effect on IPV, the study exploits the exogenous shock to employment caused by COVID-19 containment measures in Uganda. The authors collect individual-level data via phone surveys on the incidence of IPV among food vendors, including information on husbands’ sector of employment. To identify a causal DV effect of male employment exit, the authors distinguish between two groups of women with similar pre-lockdown experiences of abuse: those with spouses employed in sectors where operations were halted by COVID-19 lockdowns (construction workers, taxi drivers, etc.) and those with spouses who were unaffected (food vendors, farmers, etc.). The results show that male unemployment increases the probability of experiencing physical violence by 4.9 percentage points, corresponding to a 45% increase relative to the average likelihood. The effect cannot be explained by increased exposure (the man being more at home) – affected and unaffected women spend on average an equal number of nights in the market, which could be used as a coping mechanism. This suggests it is the change in unemployment status itself that drives the increase in DV.

While most of the literature on domestic abuse has documented that its drivers often come from changing life conditions of the victim or perpetrator, there is broad anecdotal evidence that exogenous events can lead to exacerbations in domestic violence as well. Ria Ivandic presented her paper that documents a causal link between major football games and domestic violence in England. The authors use a dataset on the universe of calls and crimes in the Greater Manchester area. The data provides a time series on the incidence of different types of domestic abuse with information on the timing, relationship to the accused, and individual characteristics of the victim and perpetrator, including whether the perpetrator was under the influence of alcohol at the time of the incident. They adopt an event study approach focusing on the hours surrounding a game and document a substitution effect in that the two-hour duration of a football game is associated with a 5% decline in DV incidents. However, following the game, the initial decrease is offset as DV incidents start increasing and culminate after 10-12 hours, eventually leading to an aggregate positive effect which constitutes a 2.8% hourly increase on days when games are played.

The authors argue that alcohol consumption, rather than emotions, is the main mechanism through which domestic violence is affected by sporting events. Supporting this hypothesis, they first find that the outcome of the game or the associated element of surprise (measured using the ex-ante probability of winning a game through betting markets) does not affect the probability of DV occurring. Second, they show that the increase in DV following a game is solely driven by an increase in alcohol-related DV incidents, while those committed by non-alcoholized men remain constant. Further strengthening this finding, it is shown that for games scheduled early in the day, when perpetrators can start drinking sooner and continue throughout the day, they find a significant increase in DV incidents committed by alcoholized perpetrators while this is not the case for late-scheduled games.

The Role of Women’s Empowerment

In the literature on gender-based violence, there is a common disposition to think about women’s empowerment as a central element of DV mitigation. However, theories point in opposite directions making the effect of women’s economic empowerment rather unclear. On one end of the spectrum, there are bargaining theories indicating that an increase in women’s employment opportunities or income should have a negative effect on DV by creating outside options or increasing the bargaining power in a relationship. At the other end, there are backslash theories arguing that enhancing women’s financial empowerment may further exacerbate violence by undermining the role of the breadwinner, triggering male partners to retaliate with the use of violence in order to restore the power balance. Going in the same direction, theories of instrumental violence point towards that the male partner might also use violence to extract resources.

In her keynote lecture, Bilge Erten outlined the evidence relating to DV and women’s empowerment and discussed to what extent and in which contexts these theories are supported.

The evidence of a positive or negative effect of empowerment may depend on which aspect of it is studied. Education is seen as an important one because it has the potential to raise women’s self-awareness of IPV, increase the likelihood of matching with a well-educated partner (which is negatively correlated to abusive behavior), and improve labor market outcomes. Although evidence is scarce in this area, Erten shared her own findings on the causal effect of education reform on IPV in Turkey. In line with instrumental violence theories, it is found that, while women in cohorts affected by the reform performed better in the labor market, they experienced more psychological violence and financial control behavior, and there was no sign of an effect on DV attitudes, partner-match quality or marriage decisions.

What we know about women’s empowerment and DV is also different across countries. When it comes to the effect of employment, findings from developed countries are generally consistent with bargaining theory explanations while what is found in the developing world is more mixed. This is also the case for studies on unilateral divorce laws – while a negative effect on IPV has been documented in the United States, a positive effect of these laws is found in Mexico.

Assessing the literature on the income effect leads to a somewhat ambiguous verdict too. Although generally, most studies confirm that overall violence declines with women’s income, there is often heterogeneity in the effect. It has for instance been found that the sign of the income effect from cash transfers on DV changes from negative to positive as the size of the transfer increases.

Finally, Erten provided some important policy considerations. There is evidently a widespread backlash problem that can arise after a policy intervention of the types discussed above. Policymakers need to think more about monitoring and protecting victims from more violence when implementing such a policy. Further research assessing post-intervention is also needed to identify interventions that are the most effective in minimizing domestic violence. In particular, a change in broad social norms around gender roles should be a desirable outcome, to the effect that a new, improved status of women in society and in the household becomes more culturally acceptable and needs not lead to backlash. In the case of expressive violence (that is not a rational, calculated response but rather a compulsion in the heat of the moment), mental health interventions should also be considered.

Concluding Remarks

As highlighted by the 2022 FROGEE conference, domestic violence not only has been put in the spotlight following the pandemic or the ongoing conflict in Ukraine, but is widespread across the globe in regular conditions too. The mixed findings shared at the conference suggested that policies limiting gender-based violence should be designed with respect to the cultural and social setting where they are to be implemented as the heterogeneity is very high across contexts. Although research has come a long way, the conference stressed that there is much more to be done, in terms of not only knowledge but also the political will and commitment to seriously address the issue of gender-based violence.

The presentations held at the conference can be viewed at this link and a separate policy brief based on the panel discussion on gender-based violence in times of conflict can be found here.

List of Speakers

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Gender-Based Violence in Conflict

Posted on May 30, 2022 | FROGEE PROJECT, Policy Brief

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The eruption of war exposes women to increased gender-based violence, in the immediate conflict area as well as in the countries where they seek refuge. Acknowledging the specific conflict-related risks that women face is important, in order to target interventions, especially considering that the actors that sit at peace negotiation tables are predominantly or exclusively men. In this policy brief, we discuss the implications of conflict for gender-based violence, with a special focus on the ongoing war in Ukraine. We also outline some policy interventions that might help mitigate the risks that women face, holding those responsible to account, and building a more gender-equal society from the reconstruction efforts. Our discussion draws from existing academic literature and inputs from the special panel session on conflict during the FROGEE conference “Economic and Social Context of Domestic Violence”.

Gender-Based Violence During Conflicts

During war, as in peacetime, women are exposed to different forms of violence, and to a different extent, as compared to men. In other words, there are gender-specific aspects of conflict-related violence, both in immediate conflict areas and in the places where affected populations might seek refuge.

One form of violence against women in conflict areas is sexual violence and rapes perpetrated by combatants. Scholars and policy analysts tend to portray this violence as a weapon of war (Eriksson and Stern, 2013), meaning that it is a way of humiliating and demoralizing the enemy as individuals and as communities. Differently put, the narrative that portrays sexual violence as, for instance, the consequence of unmet sexual needs among soldiers is increasingly less accepted. Sexual violence against women perpetrated by armed forces in conflict areas is tragically prevalent. While proper quantification of the phenomenon is hard for obvious reasons, it is estimated for example that at least 500,000 women were raped during the Rwandan genocide, and 50,000 during the war in Bosnia (Guarnieri and Tur-Prats, 2022).

Another form of gender-based violence in conflict is that women who are uprooted by war tend to confront a high risk of sexual violence during their journey away from home and in the places where they seek refuge. Vu et al. (2014) estimate, through meta-analysis, that approximately one in five refugees or displaced women in complex humanitarian settings experienced sexual violence. The study also highlights the need for more data to shed light on the characteristics of perpetrators. The presence of aid workers among them appears to persist through several humanitarian crises (Reis, 2021).

Further, women and children fleeing war areas are vulnerable to the risk of trafficking and exploitation for sexual or other work (as highlighted in the FROGEE conference panel). Traffickers and criminal organizations tend to exploit the combination of a mass movement of people in precarious economic situations and the decreased scrutiny generated by the humanitarian emergency.

Finally, war heightens the risk of intimate partner violence (IPV) in conflict areas as well as among refugees and displaced individuals, by causing stress, trauma, economic hardship and increased substance abuse, all of which lead to deterioration in mental health and the quality of relationships (Conference panel). An actual or perceived sense of impunity can also undermine victims’ propensity to report IPV at such a time. A systematic review of the published literature on gender-based violence in conflict finds that estimated rates of IPV across most studies are much higher than the rates of rape and sexual violence perpetrated outside the home (Stark and Ager, 2011).

The consequences of conflict on IPV can be long-lasting. Evidence from post-genocide Rwanda shows that women who married after the conflict were more likely to be victims of spousal abuse; skewed sex ratios that reduced women’s bargaining power in the marriage market appear to be the relevant channel (La Mattina 2017). Another important factor is posttraumatic stress disorder (PTSD) among veterans: a study of US military personnel shows that assignment to combat in the Global War on Terrorism is associated with higher incidence of domestic violence and lower relationship quality (Cesur and Sabia, 2016). The increased availability of small weapons can also lead to more frequent or more violent instances of domestic abuse (Conference panel).

The War in Ukraine

Reports from the US State Department and Amnesty international document episodes of sexual violence from armed conflict actors in Donetsk and Luhansk since the start of the conflict in 2014 (Amnesty International, 2020). Both Russian and Ukrainian military were involved, speaking to the tragedy that the population close to the “contact area” have witnessed since 2014.

At present, growing evidence is emerging that Ukrainians, especially but not exclusively women and girls, are victims of rape, gang-rape and forced nudity perpetrated by Russian military troops invading the country (United Nations). It is notoriously difficult to collect and verify data and facts on sexual violence during wartime, but these early accounts, and the experience from previous conflicts, call for a high level of scrutiny and readiness to help. Research also suggests some potential factors that aggravate the prevalence of sexual violence in conflict. Guarnieri and Tur-Prats (2020) show that armed actors who hold more gender-unequal norms are more likely to be perpetrators of sexual violence, and that the incidence of sexual violence is highest when the parts in conflict hold gender norms that differ substantially (Guarnieri and Tur-Prats, 2022). Survey data show that the share of people who appear to hold gender-unequal norms in Russia remained high over the years, based on questions on the effectiveness of women and men as political or business leaders (Figures 1 and 2), or the desirability of women earning more than their husbands (not shown).

Figure 1. Men make better political leaders than women do, % agreement

Source: World Value Survey

Figure 2. Men make better business executives than women do, % agreement

Source: World Value Survey

Evidence on the evolution of norms in Ukraine is more mixed (see Figures 1 and 2). All in all, surveys of gender-role attitudes suggest that gender stereotypes persist in Russian society, but it is not obvious that the prevailing gender norms are starkly different between Russia and Ukraine. On the other hand, attitudes toward IPV in the two countries might be evolving differently, at least among the respective elites, based on the fact that legislation on domestic violence recently changed in opposite direction in the two countries. Specifically, Russia decriminalized minor forms of domestic violence in early 2017. Conversely, Ukraine strengthened the legal response to domestic violence in early 2019, in particular making minor but systematic domestic violence criminally punishable, and extending criminal punishment beyond physical violence to include emotional and economic violence.

As a consequence of the war, almost 13 million Ukrainians have left their homes since Russia invaded on Feb. 24, 2022, according to the United Nations. Almost all of them are women and children, since men and boys aged 18 to 60 are required to stay in Ukraine to defend the country. Women traveling alone with their children, especially when fleeing to foreign countries where they often have no connections, are clearly at risk of assault and exploitation. Such risk is heightened by the exceptional speed of the refugee influx, whereby an impromptu response from the host countries is by necessity reliant on individual independent participation. Private hosts have spontaneously been opening their homes to accommodate for days or even weeks Ukrainians fleeing the war. Proper vetting of these offers is made difficult by the sheer number of people who are being welcomed in bordering countries, for instance Poland, as well as by the exceptional response from private individuals. Within a little more than a month from the start of this crisis there had already been a few episodes of sexual violence against Ukrainian refugees in their host countries (specifically in Poland and Germany).

While the current death toll in the war in Ukraine is unlikely to lead to dramatically skewed sex-ratios, this aspect might become more relevant as events evolve, in light also of the fact that nearly the universe of those who fled the country so far consists of women and children.

Finally, in the post-conflict period, the presence of small weapons, which have been made available to civilians to defend the country, is an additional risk factor for IPV (Conference panel).

What Can Be Done?

Academics, international organizations, activists and female politicians from Ukraine have made specific requests to improve the system of protection and accountability in the face of sexual violence against women living in or fleeing from conflict zones. These suggestions include ensuring that the system of transitional justice that will govern the post-conflict period establishes proper investigation and punishment of every form of sexual violence performed by armed actors during the war. To this end, some steps have already been taken. The UN Resolution in favor of the creation of an International Commission of Inquiry refers explicitly to the need to recognize the gender dimension of violations and abuses.

Beyond the horizon of the war, the safety of Ukrainian women in their homes relies on the protection offered by State legislation against domestic violence. In this respect, the Ukrainian government has recently taken a few measures in what the international community deems to be the “right direction”. A very important reform taken in the summer of 2021 allows for the military to be prosecuted for domestic violence on a general basis rather than on the basis of the disciplinary statute as it was before. This is especially important in light of the findings of increased risk of domestic violence in families of veterans (Cesur and Sabia, 2016). However, some critical aspects remain. In the current context, a crucial factor might be the limit of 6 months to prosecute the crime from the occurrence of the violence. An extension of such a period at a time when the normal functioning of many institutions is suspended or subject to delays can attenuate the perception of impunity that the exceptionality of the circumstances creates.

When it comes to refugees, there is as mentioned a need for better vetting of private hosts, although the urgency of action that the current circumstances require makes this a particularly challenging task. State effort in this direction has been complemented by civil society initiatives. For example, in Sweden, Facebook groups that lined up to coordinate the offer of housing are now organizing themselves to create a system for verifying housing and hosts.

Ukrainian politicians have also asked Western countries to be prepared to offer expertise on how to support survivors of rape and other sexual violence in conflict.

Other experts recommend reliance on cultural and linguistic mediators to help refugee women access services for victims of IPV that are already offered by local actors in their temporary host country (Conference panel).

In the longer term, guaranteeing economic safety for refugees is also an effective measure to reduce their vulnerability to exploitation from sex-traffickers and criminal organizations.

Finally, yet importantly, the involvement of women in peace negotiation processes should be sought after. Echoing the discussion on women’s scarcity in leadership positions in peacetime, the gender-unequal composition of peace delegations poses an issue of equality, representativeness, and efficiency (Bertrand 2018). Interestingly, it has been noted that a more truthful narrative of war, which recognizes women’s role not only as victims but also as perpetrators (and the converse for men, although proportions are clearly unbalanced in both cases), might help pave the way for higher female representation at negotiation tables (Conference panel). Relatedly, the European Institute for Gender Equality proposes gender mainstreaming of all policies and programs involved in conflict resolution processes (EIGE). The international community should also consider gender mainstreaming of reconstruction programs, to help build a more gender-equal post-conflict Ukraine.

References

  • Amnesty International. (2020). Not a Private Matter. Domestic and Sexual Violence against Women in Eastern Ukraine.
  • Baaz, M. E., and Stern, M. (2013). Sexual violence as a weapon of war?: Perceptions, prescriptions, problems in the Congo and beyond. Bloomsbury Publishing.
  • Bertrand, M. (2018). Coase lecture–the glass ceiling. Economica, 85(338), 205-231.
  • Cesur, R., and Sabia, J. J. (2016). When war comes home: The effect of combat service on domestic violence. Review of Economics and Statistics, 98(2), 209-225.
  • Guarnieri, E., and Tur-Prats, A. (2022). Cultural distance and conflict-related sexual violence. Mimeo
  • Reis, C. (2021). Sexual abuse during humanitarian operations still happens. What must be done to end it. The Conversation, October 5 2021. https://theconversation.com/sexual-abuse-during-humanitarian-operations-still-happens-what-must-be-done-to-end-it-169223
  • Stark, L. and Ager, A. (2011). A systematic review of prevalence studies of gender-based violence in complex emergencies. Trauma, Violence, & Abuse, 12(3), pp.127-134.
  • Vu, A., Adam, A., Wirtz, A., Pham, K., Rubenstein, L., Glass, N., Beyrer, C. and Singh, S. (2014). The prevalence of sexual violence among female refugees in complex humanitarian emergencies: a systematic review and meta-analysis. PLoS currents, 6.

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

The Energy and Climate Crisis Facing Europe: How to Strike the Right Balance

Posted on May 24, 2022 | Policy Brief

20220524 The Energy and Climate Crisis Image 01

Policymakers in Europe are currently faced with the difficult task of reducing our reliance on Russian oil and gas without worsening the situation for firms and households that are struggling with high energy prices. The two options available are either to substitute fossil fuel imports from Russia with imports from other countries and cut energy tax rates to reduce the impacts on firms and household budgets, or to reduce our reliance on fossil fuels entirely by investing heavily in low-carbon energy production. In this policy brief, we argue that policymakers need to also take the climate crisis into account, and avoid making short-term decisions that risk making the low-carbon transition more challenging. The current energy crisis and the climate crisis cannot be treated as two separate issues, as the decisions made today will impact future energy and climate policies. To exemplify how large-scale energy policy reforms may have long-term consequences, we look at historical examples from France, the UK, and Germany, and the lessons we can learn to help guide us in the current situation.

The war in Ukraine and the subsequent sanctions against Russia have led to a sharp increase in energy prices in the EU since the end of February 2022. This price increase came after a year when global energy prices had already surged. For instance, import prices for energy more than doubled in the EU during 2021 due to an unusually cold winter and hot summer, as well as the global economic recovery following the pandemic and multiple supply chain issues. Figure 1 shows that the price of natural gas traded in the European Union has increased steadily since the summer of 2021, with a strong hike in March 2022 following the beginning of the war.

Figure 1. Evolution of EU gas prices, July 2021-May 2022

Source: https://tradingeconomics.com/commodity/eu-natural-gas

Concerns about energy dependency, towards Russian gas in particular, are now high on national and EU political agendas. An embargo on imports of Russian oil and gas into the EU is currently discussed, but European governments are worried about the effects on domestic energy prices, and the economic impact and social unrest that could follow. Multiple economic analyses argue, however, that the economic effect in the EU of an embargo on Russian oil and gas would be far from catastrophic, with estimated reductions in GDP ranging from 1.2-2.2 percent. But a reduction in the supply of fossil fuels from Russia would need to be compensated with energy from other sources, and possibly supplemented with demand reductions.

In parallel, on April 4th, the Intergovernmental Panel on Climate Change (IPCC) released a new report on climate change. One chapter analyses different energy scenarios, and finds that all scenarios that are compatible with keeping the global temperature increase below 2°C involve a strong decrease in the use of all fossil fuels (Dhakal et al, 2022). This reduction in fossil fuel usage over the coming decades is illustrated in red in Figure 2.

It is thus important that, while EU countries try to decrease their dependency on Russian fossil fuels and cushion the effect of energy-related price increases, they also accelerate the transition to a low-carbon economy. And how they manage to balance these short- and long-run objectives will depend on the energy policy decisions they make. For instance, if policymakers substitute Russian oil and gas with increased coal usage and new import terminals for LNG, this can lead to a “carbon lock in” and make the low-carbon transition more challenging.  In this policy brief, we analyze what lessons can be drawn from past historical events that lead to large-scale structural changes in energy policy. Events that all shaped our current energy systems and conditions for climate policy.

Figure 2. Four energy scenarios compatible with a 2°C temperature increase by 2100.

Source: IPCC sixth assessment report on Mitigation of Climate Change, chapter 3, p23

Structural Changes in Energy Policy in France, the UK, and Germany

We focus on three “energy policy turning points” triggered by three geopolitical, political or environmental crises: the French nuclear plan triggered by the 1973 oil crisis; the UK early closure of coal mines and the subsequent dash for gas in the 1990s, influenced by the election of Margaret Thatcher in 1979; and the German nuclear phase-out triggered by the 2011 Fukushima catastrophe.

In response to the global oil price shock of 1973, France adopted the “Messmer plan”. The aim was to rapidly transition the country away from dependence on imported oil by building enough nuclear capacity to meet all the country’s electricity needs. Two slogans summarised its goals: “all electric, all nuclear”, and “in France, we may not have oil, but we have ideas” (Hecht 2009). The first commissioned plants came online in 1980, and between 1979-1988 the number of reactors in operation in France increased from 16 to 55. As a consequence, the share of nuclear power in the total electricity production rose from 8 to 80 percent, while the share of fossil fuels fell from 65 to 8 percent.

Figure 3. French electricity mix

Source: Data on electricity and heat production in France is provided by the IEA (2022).

In the UK, the election of Margaret Thatcher in 1979 opened the way for large market-based reform of the energy sector. Thatcher’s plan to close dozens of coal pits triggered a year-long coal miners’ strike in 1984-85. The ruling Conservative party eventually won against the miners’ unions and the coal industry was deeply restructured, with a decrease in domestic employment – not without social costs (Aragon et al, 2018) – and an increase in coal imports. At the same time, the electricity market’s liberalization in the 1990s facilitated the development of gas infrastructure. As an indirect and unintended consequence, when climate change became a prominent issue at the global level in the 2000s, there was no strong pro-coal coalition left in the UK (Rentier et al, 2019). Aided by a portfolio of policies making coal-fired electricity more expensive – a carbon tax in particular – the coal phase-out was relatively easy and fast (Wilson and Staffel, 2018, Leroutier 2022): between 2012 and 2020, the share of coal in the electricity production dropped from 40 to 2 percent.

In 2011, the Fukushima nuclear catastrophe in Japan triggered an early and unexpected phase-out of nuclear energy in Germany. The 2011 “Energiewende” (energy transition) mandated a phase-out of nuclear power plants by 2022, while including provisions to reduce the share of fossil fuel from over 80 percent in 2011 to 20 percent in 2050. The share of nuclear energy in the electricity production in Germany was halved in a decade, from 22 percent in 2010 to 11 percent in 2020. At the same time, the share of renewable energy increased from 13 to 36 percent, and that of natural gas from 14 to 17 percent.

In these three examples, climate objectives were never the main driver of the decision. Nevertheless, in the case of France and the UK, the crisis resulted in an energy sector that is arguably more low-carbon than it would have been without the crisis. Although the German nuclear phase-out was accompanied by large subsidies to renewable energies, its effect on the energy transition is ambiguous: some argue that the reduction in nuclear electricity production was primarily offset by an increase in coal-fired production (Jarvis et al, 2022).

The three crises also had different consequences in terms of dependence on fossil fuel imports. The French nuclear plan resulted in an arguably lower energy dependency on imported fossil fuels. The closure of coal mines in the UK had ambiguous effects on energy security, with an increase in coal imports and the use of domestic gas from the North Sea. Finally, Germany’s nuclear phase-out, combined with the objective of phasing out coal, has been associated with an increase in the use of fossil fuels from Russia: gas imports remained stable between 2011 and 2020, but the share coming from Russia increased by 60 percent over the period. In 2020, Russia stood for 66 percent of German gas imports (Source: Eurostat). Which brings us back to the current war in Ukraine.

The Current Crisis is Different

The context in which the current energy crisis is unfolding is different from the three above-mentioned events in two important ways.

First, scientific evidence on the relationship between fossil fuel use, CO2 emissions and climate damages has never been clearer: we know quite precisely where the planet is heading if we do not drastically reduce fossil fuel use in the coming decade. From recent research in economics, we also know that price signals work and that increased prices on fossil fuels result in lower demand and emission reductions (Andersson 2019; Colmer et al. 2020; Leroutier 2022). High fuel prices can also have long-term impacts on consumption patterns: US commuters that came of driving age during the oil prices of the 70s, when gasoline prices were high, still drive less today (Severen and van Benthem, 2022). The other way around, low fossil fuel prices have the potential to lock in energy-intensive production: plants that open when electricity and fossil fuel prices are low have been found to consume more energy throughout their lifetime, regardless of current prices (Hawkins-Pierot and Wagner, 2022).

Second, alternatives to fossil fuels have never been cheaper. It is most obvious in the case of electricity production, where technological progress and economies of scale have led to a sharp decrease in the cost of renewable compared to fossil fuel technologies. As shown in Figure 4, between 2010 and 2020 the cost of producing electricity from solar PV has decreased by 85 percent and that of producing electricity from wind by 68 percent. From being the most expensive technologies in 2010, solar PV and wind are now the cheapest. Given the intermittency of these technologies, managing the transition to renewables requires developing electricity storage technologies. Here too, prices are expected to decrease: total installed costs for battery electricity storage systems could decrease by 50 to 60 percent by 2030 according to the International Renewable Agency.

Finding alternatives to fossil fuels has historically been more challenging in the transport sector. However, recent reductions in battery costs, and an increase in the variety of electric vehicles available to customers, have led to EVs taking market share away from gasoline and diesel-powered cars in Europe and elsewhere. The costs of the battery packs that go into electric vehicles have fallen, on average, by 89 percent in real terms from 2010 to 2021.

Figure 4. Evolution of the Mean Levelised Cost of Energy by Technology in the US

Source: Lazard

Options for Policy-Makers

Faced with a strong increase in fossil fuel prices and an incentive to reduce our reliance on oil and gas from Russia, policy-makers have two options: increase the availability and decrease the price of low-carbon substitutes – by, for example, building more renewable energy capacity and subsidizing electric vehicles – or cut taxes on fossil fuels and increase their supply, both domestically and from other countries.

Governments have pursued both options so far. On the one hand, the Netherlands, the UK, and Italy announced an expansion of wind capacities compared to what was planned, in an attempt to reduce their dependence on Russian gas, and France ended gas heaters subsidies. On the other hand, half of EU member states have cut fuel taxes for a total cost of €9 billion by the end of March 2022, the UK plans to expand oil and gas drilling in the North Sea, and Italy might re-open coal-fired plants.

To guide policymakers faced with the current energy crisis, there are valuable lessons to draw from the experiences of energy policy reform in France, the UK and Germany. France’s push for nuclear energy in the 1970s shows that large-scale structural reform of electricity and heat production is possible and may lead to large drops in CO2 emissions and an economy less dependent on domestic or foreign supplies of fossil fuels. A similar “Messmer plan” could be implemented in the EU today, with the goal of replacing power plants using coal and natural gas with large-scale solar PV parks, wind farms and batteries for storage. Similarly, the German experience shows the potential danger of implementing a policy to alleviate one concern – the risk of nuclear accidents – with the consequence of facing a different concern later on – the dependence on fossil fuel imports.

One additional challenge is that the current energy crisis calls for a short-term response, while investments in low-carbon technologies made today will only deliver in a few years. Short-term energy demand reduction policies can help, on top of long-term energy efficiency measures. For example, a 1°C decrease in the temperature of buildings heated with gas would decrease gas use by 10 billion cubic meters a year in Europe, that is, 7 percent of imports from Russia. Similarly, demand-side policies could reduce oil demand by 6 percent in four months, according to the International Energy Agency.

Ending the reliance on Russian fossil fuels and alleviating energy costs for firms and households is clearly an important objective for policymakers. However, by signing new long-term supply agreements for natural gas and cutting energy taxes, policymakers in the EU may create a carbon lock-in and increase fossil fuel usage by households, thereby making the inevitable low-carbon transition even more difficult. The solutions thus need to take the looming climate crisis into account. For example, any tax relief or increased domestic fossil fuel generation should have a clear time limit; more generally, all policies decided today should be evaluated in terms of their contribution to domestic and European climate objectives. In this way, the current energy crisis is not only a challenge but also a historic opportunity to accelerate the low-carbon transition.

References

  • Andersson, Julius J. 2019. “Carbon Taxes and CO2 Emissions: Sweden as a Case Study.” American Economic Journal: Economic Policy, 11(4): 1-30.
  • Aragón, F. M., Rud, J. P., & Toews, G. 2018. “Resource shocks, employment, and gender: Evidence from the collapse of the UK coal industry.” Labour Economics, 52, 54–67. doi: 10.1016/j.labeco.2018.03.007
  • Colmer, Jonathan, et al. 2020. “Does pricing carbon mitigate climate change? Firm-level evidence from the European Union emissions trading scheme.” Centre for Economic Performance Discussion Paper, No. 1728, November 2020.
  • Dhakal, S., J.C. Minx, F.L. Toth, A. Abdel-Aziz, M.J. Figueroa Meza, K. Hubacek, I.G.C. Jonckheere, Yong-Gun Kim, G.F. Nemet, S. Pachauri, X.C. Tan, T. Wiedmann, 2022: Emissions Trends and Drivers. In IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [P.R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, J. Malley, (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, USA. doi: 10.1017/9781009157926.004
  • IPCC. 2022. Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [P.R. Shukla, J. Skea, R. Slade, A. Al hourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz, J. Malley, (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, USA. doi: 10.1017/9781009157926
  • Hawkins-Pierot, J & Wagner, K. 2022, “Technology Lock-In and Optimal Carbon Pricing,” Working Paper
  • Hecht, Gabrielle. 2009. The Radiance of France: Nuclear Power and National Identity after World War II. MIT press.
  • Jarvis, S., Deschenes, O., & Jha, A. 2022. “The Private and External Costs of Germany’s Nuclear Phase-Out.” Journal of the European Economic Association, jvac007. doi: 10.1093/jeea/jvac007
  • Leroutier, M. 2022. “Carbon pricing and power sector decarbonization: Evidence from the UK.” Journal of Environmental Economics and Management, 111, 102580. doi: 10.1016/j.jeem.2021.102580
  • Le Coq, C & Paltseva,E. 2022. “What does the Gas Crisis Reveal About European Energy Security?” FREE Policy Brief
  • Rentier, G., Lelieveldt, H., & Kramer, G. J. 2019. “Varieties of coal-fired power phase-out across Europe.” Energy Policy, 132, 620–632. doi: 10.1016/j.enpol.2019.05.042
  • Severen, C., & van Benthem, A. A. (2022). “Formative Experiences and the Price of Gasoline.” American Economic Journal: Applied Economics, 14(2), 256–84. doi: 10.1257/app.20200407 :
  • Wilson, I.A.G., Staffell, I., 2018. “Rapid fuel switching from coal to natural gas through effective carbon pricing.” Nature Energy 3 (5), 365–372.

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Detecting Labor Tax Evasion Using Administrative Data and Machine-Learning Techniques

Posted on May 17, 2022 | Policy Brief

20220516 Detecting Labor Tax Evasion Image 01

Labor tax evasion is a major policy issue that is especially salient in transition and post-transition countries. In this brief, we use firm-level administrative data, tax authorities’ audit data and machine learning techniques to detect firms likely to be involved in labor tax evasion in Latvia. First, we show that this approach could complement tax authorities’ regular practices, increasing audit success rate by up to 35%. Second, we estimate that about 30% of firms operating in Latvia between 2013 and 2020 are likely to underreport the wage of (some of) their employees, with a slightly negative trend.

Introduction

Tax evasion is a major policy issue that is especially salient in transition and post-transition countries. In particular, “envelop wage”, i.e., an unofficial part of the wage paid in cash, is a widespread phenomenon in Eastern Europe (European Commission, 2020). Putnins and Sauka (2021) estimate that the share of unreported wages in Latvia amounts to more than 20%. Fighting labor tax evasion is a key objective of tax authorities, which face two main challenges. The first is to make the best use of their resources. Audits are costly, so the choice of firms to audit is crucial. The second challenge is to track the evolution of the prevalence of labor tax evasion. For this purpose, most of the existing literature relies on survey data.

In our forthcoming paper (Gavoille and Zasova, 2022), we propose a novel methodology aiming at detecting tax-evading firms, using administrative firm-level data, tax authorities’ audit data and machine learning techniques.

This study provides two main contributions. First, this approach can help tax authorities to decide which firms to audit. Our results indicate that the audit success rate could increase by up to 20 percentage points, resulting in a 35% increase. Second, our methodology allows us to estimate the share of firms likely to be involved in labor tax evasion. To our knowledge, this paper is the first to provide such estimates, which are however of primary importance in guiding anti-tax evasion policy. We estimate that over the 2013-2020 period, about 30% of firms operating in Latvia are underreporting (at least some of) their workers’ wages.

Methodology

The general idea of our approach is to train an algorithm to classify firms as either compliant or tax-evading based on observed firm characteristics. Tax evasion, like any financial manipulation, results in artifacts in the balance sheet. These artifacts may be invisible to the human eye, but machine learning algorithms can detect these systematic patterns. Such methods have been applied to corporate fraud detection (see for instance Cecchini et al. 2010, Ravisankar et al. 2011, West and Bhattacharya 2016).

The machine learning approach requires a subsample of firms for which we know the “true” firm behavior (i.e., tax-evading or compliant) in order to train the algorithm. For this purpose, we propose to use a dataset on tax audits provided by the Latvian State Revenue Service (SRS), which contains information about all personal income tax (PIT) and social security contributions (SSC) audits carried out by SRS during the period 2013-2020, including the outcome of the audit. The dataset also contains a set of firm characteristics and financial indicators, covering both audited and non-audited firms operating in Latvia (e.g., turnover, assets, profit). Assuming that auditors are highly likely to detect misconduct (e.g., wage underreporting) if present, audit outcomes provide information about a firm’s tax compliance. Firms sanctioned with a penalty for, say, personal income tax fraud are involved in tax evasion, whereas audited-but-not-sanctioned firms can be assumed compliant. The algorithm learns how to disentangle the two types of firms based on the information contained in their balance sheets. Practically, we randomly split the sample of audited firms into two parts, the training and the testing subsamples. In short, we use the former to train the algorithm, and then evaluate its performance on the latter, i.e., on data that has not been used during the training stage. If showing satisfying performance on the training sample, we can then apply it to the whole universe of firms and obtain an estimate of the share of tax-evading firms.

In this study, we successively implement four algorithms that differ in the way they learn from the data: (1) Random Forest, (2) Gradient Boosting, (3) Neural Networks, and (4) Logit (for a review of machine learning methods, see Athey and Imbens, 2019). These four data mining techniques have previously been used in the literature on corporate fraud detection (see Ravisankar et al. 2011 for a survey). Each of these four algorithms has specific strengths and weaknesses, motivating the implementation and comparison of several approaches.

Results

Predictive Performance

Table 1 provides the out-of-sample performance of the four different algorithms. In other words, it shows how precise the algorithm is at classifying firms based on data that has not been included during the training stage. Accuracy is the percentage of firms correctly classified (i.e., the model prediction is consistent with the observed audit’s outcome). In our sample, about 44% of audited firms are required to pay extra personal income tax and social security contributions. This implies that a naive approach predicting all firms to be evading would be 44% accurate. Similarly, a classification predicting all firms to be tax compliant would be correct in 56% of the cases. This latter number can be used as a benchmark to evaluate the performance of the algorithms. ROC-AUC (standing for Area Under the Curve – Receiver Operating Characteristics) is another widespread classification performance measure. It provides a measure of separability, i.e., how well is the model able to distinguish between the two types. This measure is bounded between 0 and 1, the closer to 1 the better the performance. A score above 0.8 can be considered largely satisfying.

Table 1. Performance measures

Source: authors’ calculations

Random Forest is the algorithm providing the best out-of-sample performance, with more than 75% of the observations in the testing set correctly classified. Random Forest is also the best performing model according to the ROC-AUC measure, with performance slightly better than Gradient Boosting.

Our results imply that a naive benchmark prediction is outperformed by almost 20 percentage points by Random Forest and Gradient Boosting in terms of accuracy. It is important to emphasize that this improvement in performance is achieved using a relatively limited set of firm-level observable characteristics that we obtained from SRS (which is limited compared to what SRS has access to), and that mainly come from firms’ balance sheets. This highlights the potential gain of using data-driven approaches for the selection of firms to audit in addition to the regular practices used by the fiscal authorities. It also suggests a promising path for further improvements, as in addition to this set of readily available information the SRS is likely to possess more detailed limited-access firm-level data.

Share of Tax-Evading Firms Over Time and Across NACE Sectors

We can now apply these algorithms to the whole universe of firms (i.e., to classify non-audited firms). Figure 1 shows the share of firms classified as tax-evading over the years 2014 to 2019 for our two preferred algorithms – Gradient Boosting and Random Forest. Random Forest (the best performing algorithm) predicts that 30-35% of firms are involved in tax evasion, Gradient Boosting predicts a slightly higher share (around 40%). Both algorithms, especially Random Forest, suggest a slight reduction in the share of tax-evading firms since 2014.

Figure 1. Share of tax-evading firms over time

Source: authors’ calculations

The identified reduction, however, does not necessarily imply that the overall share of unreported wages has declined. In fact, existing survey-based evidence (Putnins and Sauka, 2021) indicate that the size of the shadow economy as a share of GDP remained roughly constant over the 2013-2019 period, and that there was no reduction in the contribution of the “envelope wages”. With our method, we are estimating the share of firms likely to be involved in labor tax evasion. Unlike the survey approach, our methodology does not allow the measurement of tax-evasion intensity. In other words, the share of non-tax compliant firms may have decreased, but the size of the envelope may have increased in firms involved in this scheme.

Next, we disaggregate the share of tax-evading firms by the NACE sector. Figure 2 displays the results obtained with Random Forest, our best performing algorithm.

Figure 2. Share of tax-evading firms by NACE, based on Random Forest

Source: authors’ calculations

First, the sector where tax evasion is the most prevalent is the accommodation/food industry, where the predicted share of tax-evading firms is 70-80%. Second, our results indicate that the overall decrease in the share of firms likely to evade is not uniform. It is mostly driven by the accommodation/food and manufacturing sectors. Other sectors remain nearly flat. This highlights the fact that labor tax evasion varies both in levels and in changes across sectors.

Conclusion

We show that machine learning techniques can be successfully applied to administrative firm-level data to detect firms that are likely to be involved in (labor) tax evasion. Machine learning techniques can be used to improve the selection of firms to audit in order to maximize the probability to detect tax-evading firms, in addition to the regular practices already used by SRS. Our preferred algorithms – Random Forest and Gradient Boosting – outperform the naive benchmark classification by almost 20 percentage points, which is a substantial improvement. Once implemented, the use of these tools can improve the audit effectiveness at virtually no extra cost.

Our findings also suggest a promising path for further improvements in the application of such methods. The improvement in predictive power achieved by our proposed algorithm is attained by using a limited set of variables readily available from the firms’ balance sheets. Given that SRS is likely to have access to more detailed firm-level information that cannot be provided to third parties, there is clear room for improving the performance of the algorithms by using such limited-access data.

Acknowledgement: The authors gratefully acknowledge funding from the Latvian State Research Programme “Reducing the Shadow Economy to Ensure Sustainable Development of the Latvian State”, Project “Researching the Shadow Economy in Latvia (RE:SHADE)”; project No VPP-FM-2020/1-0005.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Understanding the Economic and Social Context of Gender-based and Domestic Violence in Central and Eastern Europe – Preliminary Survey Evidence

Posted on May 11, 2022 | FROGEE PROJECT, Policy Brief

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This brief presents preliminary findings from a cross-country survey on perceptions and prevalence of domestic and gender-based violence conducted in September 2021 in eight countries: Armenia, Belarus, Georgia, Latvia, Poland, Russia, Sweden and Ukraine. We discuss the design and content of the study and present initial information on selected topics that were covered in the survey. The collected data has been used in three studies presented at the FROGEE Conference on “Economic and Social Context of Domestic Violence” and offers a unique resource to study gender-based violence in the region.

While the COVID-19 pandemic has amplified the academic and policy interest in the causes and consequences of domestic violence, the Russian invasion of Ukraine has tragically reminded us about the gender dimension of war. There is no doubt that a gender lens is a necessary perspective to understand and appreciate the full consequences of these two ongoing crises.

The tragic reason behind the increased attention given to domestic violence during the COVID-19 lockdowns is the substantial evidence that gender-based violence has intensified to such an extent that the United Nations raised the alarm about a “shadow pandemic” of violence against women and girls (UN Women on-line link). Already before the pandemic, one in three women worldwide had experienced physical or sexual violence, usually at the hands of an intimate partner, and this number has only been increasing. The tragic reports from the military invasion of Ukraine concerning violence against women and children, as well as information on the heightened risks faced by war refugees from Ukraine, most of whom are women, should only intensify our efforts to better understand the background behind these processes and study the potential policy solutions to limit them to a minimum in the current and future crises.

The most direct consequences of gender-based and domestic violence – to the physical and mental health of the victims – are clearly of the highest concern and are the leading arguments in favour of interventions aimed at limiting the scale of violence. One should remember though, that the consequences and the related social costs of gender-based and domestic violence are far broader, and need not be caused by direct acts of physical violence. Gender-based and domestic violence can take the form of psychological pressure, limits on individual freedoms, or access to financial resources within households. As research in recent decades demonstrates, such forms of abuse also have significant consequences for the psychological well-being, social status, and professional development of its victims. All these outcomes are associated with not only high individual costs, but also with substantial social and economic costs to our societies.

This policy brief presents an outline of a survey conducted in eight countries aimed at better understanding the socio-economic context of gender-based violence. The survey, developed by the FREE Network of independent research institutes, has a regional focus on Central and Eastern Europe, with Sweden being an interesting benchmark country. The data was collected in September 2021 in Armenia, Belarus, Georgia, Latvia, Poland, Russia, Sweden and Ukraine. The socio-economic situation of all these countries irrevocably changed with the Russian invasion of Ukraine on 24 February 2022, the ongoing war, and its dramatic consequences. The world’s attention focused on the unspeakable violence committed by the Russian forces in Ukraine, the persecution in Belarus and Russia of their own citizens who were protesting against the invasion, and the challenges other neighbouring countries have faced as a result of an unprecedented wave of Ukrainian refugees. This change, on the one hand, calls for a certain distance with which we should judge the survey data and the derived results. On the other hand, the data may serve as a unique resource to support the analysis of the pre-war conditions in these countries with the aim to understand the background driving forces behind this dramatic crisis. In as much as the gender lens is necessary to comprehend the full scale of the consequences of both the COVID-19 pandemic and the war in Ukraine, it will be equally indispensable in the process of post-war development and reconciliation once peace is again restored.

Survey Design, Countries, and Samples

The survey was conducted in eight countries in September 2021 through as a telephone (CATI) survey using the list assisted random digit dialling (LA-RDD) method covering both cell phones and land-lines, and the sampling was carried out in such a way as to make the final sample representative of the respective populations by gender and three age group (18-39; 40-54; 55+). The collected samples varied from 925 to 1000 individuals. The same questionnaire initially prepared as a generic English version was fielded in all eight countries (in the respective national languages). The only deviations from the generic version were related to the education categories and to a set of final questions implemented in Latvia, Russia and Ukraine with a focus on the evaluation of national IPV legislation.

Table 1 presents some basic sample statistics, while Figure 1 shows the unweighted age and gender compositions in each country. The proportion of women in the sample varies between 49.4% in Sweden and 55.0% in Belarus, Russia and Ukraine. The average sample age is between 43 (Armenia) and 51 (Sweden), while the proportion of individuals with higher education is between 29.3% in Belarus and 55.4% in Georgia. The highest proportion of respondents living in rural areas could be found in Armenia at 62.9%, while the lowest was in Georgia at 24.1%. Figure 1 illustrates good coverage across age groups for both men and women.

Table 1. FROGEE Survey: samples and basic demographics

Source: FROGEE Survey on Domestic and Gender-Based Violence.

Figure 1. FROGEE Survey: gender and age distributions

Source: FROGEE Survey on Domestic and Gender-Based Violence.

Socio-economic Conditions and Other Background Characteristics

To be able to examine the relationship between different aspects of domestic and gender-based violence to the socio-economic characteristics of the respondents, an extensive set of questions concerning the demographic composition of their household and their material conditions were asked at the beginning of the interview. These questions included information about partnership history and family structure, the size of the household and living conditions, education and labour market status (of the respondent and his/her partner) and general questions concerning material wellbeing. In Figure 2 we show a summary of two of the latter set of questions – the proportion of men and women who find it difficult or very difficult to make ends meet (Figure 2A) and the proportion who declared that the financial situation of their household deteriorated in the last two years, i.e. since September 2019, which can be used as an indicator of the material consequences of the COVID-19 pandemic. We can see that the difficulties in making ends meet are by far lowest in Sweden, and slightly lower in the other EU countries (Latvia and Poland). The differences are less pronounced with regard to the implication of the pandemic, but also in this case respondents in Sweden seem to have been least affected.

 Figure 2. Making ends meet and the consequences of COVID-19

a. Difficulties in making ends meet


b. Material conditions deteriorated since 2019

Source: FROGEE Survey on Domestic and Gender-Based Violence.

Perceptions and Incidence of Domestic and Gender-Based Violence and Abuse

Frequency of differential treatment and abuse

The set of questions concerning domestic and gender-based violence started with an initial module related to the different treatment of men and women, with respondents asked to identify how often they witnessed certain behaviours aimed toward women. The questions covered aspects such as women being treated “with less courtesy than men”, being “called names or insulted for being a woman” and women being “the target of jokes of sexual nature” or receiving “unwanted sexual advances from a man she doesn’t know”, and the respondents were to evaluate if in the last year they have witnessed such behaviours on a scale from never, through rarely, sometimes, often, to very often. We present the proportion of respondents answering “often” or “very often” to two of these questions in Figure 3A (“People have acted as if they think women are not smart”) and 3B (“A woman has been the target of jokes of a sexual nature”). We find significant variation across these two dimensions of differential treatment, and we generally find that women are more sensitive to perceiving such treatment. It is interesting to note that the proportion of women who declared witnessing differential treatment in Sweden is very high in comparison to for example Latvia or Belarus, which, as we shall see below, does not correspond to the proportion of women (and men) witnessing more violent types of behaviour against women.

Figure 3. Frequency of differential treatment (often or very often)

a. People have acted as if they think women are not smart


b. A woman has been the target of jokes of a sexual nature

Source: FROGEE Survey on Domestic and Gender-Based Violence.

Questions on the frequency of witnessing physical abuse were also asked in relation to the scale of witnessed behaviour. Here respondents were once again asked to say how often “in their day-to-day life” they have witnessed specific behaviours. These included such types of abuse as: a woman being “threatened by a man”, “slapped, hit or punched by a man”, or “sexually abused or assaulted by a man”. The proportion of respondents who say that they have witnessed such behaviour with respect to two of the questions from this section are presented in Figure 4. In Figure 4A we show the proportion of men and women who have witnessed a woman being “slapped, hit or punched” (sometimes, often or very often), while in Figure 4B being “touched inappropriately without her consent”. Relative to the perceptions of differential treatment the incidence of a woman being hit or punched (4A) declared by the respondents seems more intuitive when considered against the overall international statistics of gender equality. The proportions are lowest in Sweden and Poland, and highest in Armenia and Ukraine. However, the perception of inappropriate touching by men with respect to women (Figure 4B) shows a similar extent of such actions across all analysed countries.

Figure 4. Frequency of abuse (sometimes, often or very often)

a. A woman has been slapped, hit or punched by a man


b. A woman has been touched inappropriately, without her consent, by a man

Source: FROGEE Survey on Domestic and Gender-Based Violence.

Perceptions of abuse

The questions concerning the scale of witnessed behaviours were complemented by a module related to the evaluation of certain behaviours from the perspective of their classification as abuse and the degree to which certain types of gender-specific behaviours are acceptable. Thus, for example respondents were asked if they consider “beating (one’s partner) causing severe physical harm” to be an example of abuse within a couple (Figure 5A) or if “prohibition to dress as one likes” represents abuse (Figure 5B). This module included an extensive list of behaviours, such as “forced abortion”, “constant humiliation, criticism”, “restriction of access to financial resources”, etc. As we can see in Figure 6, with respect to the clearest types of abuse – such as physical violence – respondents in all countries were pretty much unanimous in declaring such behaviour to represent abuse. With respect to other behaviours the variation in their evaluation across countries is much greater – for example, while nearly all men and women in Sweden consider prohibiting a partner to dress as he/she likes to be abusive (Figure 5B), only about 57% of women and 36% of men in Armenia share this view.

The questionnaire also included questions specifically focused on the perception of intimate partner violence. These asked respondents if they knew about women who in the last three months were “beaten, slapped or threatened physically by their intimate partner”, and the evaluation of how often intimate partners act physically violent towards their wives.

Figure 5. Perceptions of abuse: are these examples of abuse within a couple?

a. Beating causing severe physical harm


b. Prohibition to dress as one likes

Source: FROGEE Survey on Domestic and Gender-Based Violence.

A further evaluation of attitudes towards violent behaviour was done with respect to the relationship between a husband and wife and his right to hit or beat the wife in reaction to certain behaviours. In Figure 6 we show the distribution of responses regarding the justification for beating one’s wife in reaction to her neglect of the children (6A) or burning food (6B). The questions also covered such behaviour as arguing with her husband, going out without telling him, or refusing to have sex. As we can see in Figure 6, once again we find substantial country variation in the proportion of the samples – both men and women – who justify such violent behaviour within couples. This was particularly the case when respondents were asked about justification of violent behaviour in the case of a woman neglecting the children. In Armenia as many as 30% of men and 22% of women agree that physical beating is justified in those cases. These proportions are manyfold greater than what can be observed in countries such as Latvia, where 3% of men and women agreed that abuse was justifiable under these circumstances, or Sweden, where only 1% of men and women agreed.

Figure 6. Perceptions of abuse: is a husband justified in hitting or beating his wife

a. If she neglects the children


b. If she burns the food

Source: FROGEE Survey on Domestic and Gender-Based Violence.

Seeking help and the legal framework

The final part of the questionnaire focused on the evaluation of different reactions to incidents of domestic and gender-based violence. Respondents were first asked if a woman should seek help from various people and institutions if she is beaten by her partner – respondents were asked if she should seek help from the police, relatives or friends, a psychologist, a legal service or if, in such situations, she does not need help. In Figure 7 we show the proportion of people who agreed with the last statement, i.e. claimed that it is only the couple’s business. The proportions of respondents who declare such an attitude is higher among men than women within each country, and is highest among men in Armenia (48%) and Georgia (25%). Again, these proportions are in stark contrast to men in Sweden, or even Poland, where only 4% and 8% of men agreed, respectively. Nevertheless, looking at the total survey sample, a vast majority believe that a woman who is a victim of domestic violence should seek help outside of her home, indicating that at least some forms of institutionalised support for women are popular measures with most people.

Figure 7. Proportions agreeing that domestic violence is only the couple’s business

Source: FROGEE Survey on Domestic and Gender-Based Violence.

The interview also included questions on the need for specific legislation aimed at punishing intimate partner violence and on the existence of such legislation in the respondents’ countries. The latter questions were extended in three countries – Latvia, Russia and Ukraine – to evaluate the specific sets of regulations implemented recently in these countries and to facilitate an analysis of the role IPV legislation can play in reducing violence within households. Legislation on domestic violence is relatively recent. During the last four decades, though, changes accelerated in this respect around the world. Legislative measures have been introduced in many countries, covering different aspects of preventing, protecting against and prosecuting various forms of violence and abuse that might happen within the marriage or the family. Research strives to offer evaluations on what legal provisions are most effective, in a setting in which statistics and information are still far from perfect, and as a consequence of the dearth of strong evidence the public debate on the matter is often lively. For legislation to have an effect on behaviour through shaping the cost of committing a crime, on the one hand, and the benefit of reporting it or seeking help, on the other, or more indirectly through changing norms in society, information and awareness are key. For how can deterrence be achieved if people do not know what the sanctions are? And how can reporting be encouraged if victims do not know their rights? The evidence on legislation awareness is unfortunately quite scarce. A survey of the criminology field (Nagin, 2013) concludes that this is a major knowledge gap.

Figure 8 shows the proportions of answers to questions concerning the need for and existence of legislation specifically targeted towards intimate partner violence. We can see that while support for such legislation is quite high (Figure 8A), it is generally lower among men (in particular in Armenia, Russia and Belarus). Awareness of existence of such laws, on the other hand, is much lower, and it is particularly low among women. It should be pointed out that all countries have in fact implemented provisions against domestic violence in their criminal code, but only around half of the population, sometimes much fewer, are aware of that.

Figure 8. Need for and awareness of IPV legislation

a. State should have specific legislation aimed at punishing IPV


b. Country has specific legislation aimed at punishing intimate partner violence

Source: FROGEE Survey on Domestic and Gender-Based Violence.

Recent reforms of DV legislation that were implemented in Russia in 2017, in Ukraine in 2019 and in Latvia just a few months ago (at the time of the survey, the changes were at the stage of a proposal) were the subject of the final survey questions in these countries. We find that awareness of these recent reforms is very low in all three countries, and knowledge about the reform content (gauged with the help of a multiple-choice question with three alternative statements) is even lower. Our analysis suggests that gender and family situation are the two factors that most robustly predict support for legislation, while education and age are associated with awareness and knowledge of the reforms. Minority Russian speakers are less aware of the reforms in both Ukraine and Latvia, in Ukraine are also less likely to answer correctly about the content of the reform, and in Latvia are less supportive of DV legislation in general.

Analyses of this type are useful for policy design, to better understand which groups lack relevant knowledge and should be targeted by, for example, information campaigns to combat DV, such as those many governments around the world implemented during the covid-19 pandemic.

Future Work Based on the Survey

The above is just a small sample of the rich source of information that has resulted from conducting the survey. Already from this simple overview we can see some interesting results. There are, for example, clear differences between men and women in perceptions of how common certain types of abusive behaviour are. However, for many questions differences between countries are larger than those between men and women within a country. Interestingly such differences are also different depending on the severity of the abuse or violence. In Sweden the perception of women being victims of less violent abuse is higher than in some other countries where instead some more violent types of abuse are reported as being more common. This could, of course, be due to actual differences in actual events but it is also possible that there are differences in what types of behaviour are considered to represent harassment and abuse in different societies. More careful data work is needed to try to answer questions like this and many others. Currently there are a number of ongoing research projects based on the survey results, three of which will be presented at the FREE-network conference on “Economic and Social Context of Domestic Violence” in Stockholm on May 11, 2022. Our hope is that this work will help in taking actions to prevent gender-based abuse and domestic violence based on a better understanding of underlying cross-country differences in social norms and attitudes and their relation to socio-economic factors.

About FROGEE Policy Briefs

FROGEE Policy Briefs is a special series aimed at providing overviews and the popularization of economic research related to gender equality issues. Debates around policies related to gender equality are often highly politicized. We believe that using arguments derived from the most up to date research-based knowledge would help us build a more fruitful discussion of policy proposals and in the end achieve better outcomes.

The aim of the briefs is to improve the understanding of research-based arguments and their implications, by covering the key theories and the most important findings in areas of special interest to the current debate. The briefs start with short general overviews of a given theme, which are followed by a presentation of country-specific contexts, specific policy challenges, implemented reforms and a discussion of other policy options.

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

The Effects of Sanctions

Posted on May 10, 2022 | Policy Brief

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Sanctions imposed on Russia after its invasion of Ukraine are argued to be the strongest and farthest-reaching imposed on a major power after WWII, more numerous and more comprehensive than all other measures currently in force against all other sanctioned countries. A question often asked, which is hard to answer, is whether sanctions are effective. In the present case, the effect most associate with success would be a swift end of the hostilities, perhaps accompanied by a regime change in Russia. But even when it seems these prizes are out of reach, sanctions certainly have effects, all too often glossed over by the debate but nonetheless of significance.

Why Are Sanctions Seen as Ineffective?

Sanctions are restrictions imposed on a country by one or more other countries with the intent to pressure in effect some desirable outcome, or conversely to condemn and punish some undesired action already taken. When evaluating sanctions, therefore, the focus is naturally on whether they succeed to discourage this particular course of action, or to remove the decision-makers responsible for it. And on this account, sanctions are overwhelmingly seen as unsuccessful. However, a few complications cloud this conclusion.

First of all, sanctions that are implemented already failed at the threat stage. If the threat of a well-specified and credible retribution did not deter the receiving part from pursuing the sanctioned course of action, it is because they reckoned that they can afford to ignore it. So, unless this punishment goes beyond what was expected, in scope or in time, its implementation will also fall flat. This implies that any effort to evaluate sanctions retrospectively suffers from the negative selection problem, when almost exclusively cases of failure, intended in this particular sense, are observed.

Second, sanctions are a rather blunt instrument, that often cannot be targeted with the precision one would desire. Even though sanctions have over time become “smarter”, in the sense that stronger efforts are made to target the regime, or elites that may have the clout to actually affect the regime (think the oligarchs in Russia), they often fail to reach or affect in a meaningful way those individuals that are the real objective, for various reasons. Instead, they can cause significant “collateral damage”, to groups of a population that often are quite far removed from any real decisional power, including those in the sending countries, and even third parties who are extraneous to the situation. The damage inflicted to those parties can only in very special circumstances be part of a causal link eventually impacting the intended outcome. For instance, citizens struggling in an impoverished economy could be led to a riot, or in some other way put pressure on their government – but this implies that the country is sufficiently free for riots to take place or for voters’ opinions to be taken into consideration.

To this, it should be added that, once a course of action has been taken, it might be not obvious how to change or undo it, notwithstanding the signaled displeasure from the sanctioning parties. Sanctions are therefore rarely working in isolation. When positive outcomes are achieved, it is often the case that diplomatic channels were kept open and clear incentives offered for a way out. But then it might be unclear whether it was the sanctions or something else that led to the success.

Other Effects of Sanctions

The pitfalls highlighted above, which make it tricky to answer whether sanctions are effective at reaching their aim, also apply when studying other effects that sanctions might have. There is of course a range of outcomes that might be affected: in this literature we find studies looking at inequality (Afesorgbor et al., 2016), exchange rates (Dreger et al., 2016), trade (Afesorgbor, 2019; Crozet et al. 2020), the informal sector (Early et al, 2019), military spending (Farzanegan, 2019), women’s rights (Drury, 2014), and many more. But as it often happens the most studied outcome is GDP, as this is a measure that efficiently summarizes the whole economy and correlates very nicely with many other outcomes we care about.

Suppose then that we would like to investigate what is the effect of sanctions on a target country’s GDP.  One problem is identifying an appropriate counterfactual; to observe what would have happened in the target country in the absence of sanctions. It is also an issue that the incidence of international sanctions is often a product of a series of events in the target or sender country (e.g. the Iraqi invasion of Kuwait or the apartheid system in South Africa), which also have impacts on the economy that would need to be isolated from the impact of sanctions themselves.

A variety of econometric techniques can be of help in this situation. One first idea is to use, as a reference, cases where sanctions were almost implemented. Gutmann et al. (2021) compare countries under sanctions to countries under threat of sanctions, while Neuenkirch and Neumeier (2015) contrast implemented sanctions to vetoed sanctions, in the context of UN decisions. Both studies find a relatively sizeable negative impact on GDP, in a large group of countries over a long period of time. In the first study, the target country’s GDP per capita decreases on average by 4 percent over the two first years after sanctions imposition and shows no signs of recovery in the three years after sanctions are removed. The second study estimates a reduction in GDP growth that starts at between 2,3 and 3,5 percent after the imposition of UN sanctions and, although it decreases over time, only becomes insignificant after ten years. It should be considered that a lower growth rate compounds over time: experiencing a slower growth even by only 1 percent over ten years implies a total loss of almost 15 percent. As a comparison, the average GDP loss due to the Covid-19 pandemic is estimated to be 3,4 percent in 2020.

These studies have limitations. Countries under threat of sanctions are probably making efforts to avoid punishment, which might imply that these countries are precisely the ones who would be most negatively affected by the sanctions. If so, the impact found by Gutmann et al. (2021) is probably underestimated. Neuenkirch and Neumeier (2015) only look at UN sanctions, which on one hand might give a larger impact because of the multilateral coordination. But on the other hand, the issue of an appropriate counterfactual emerges again: countries whose sanctions are vetoed might be larger, more influential, and better connected within the international community or to some of the major powers, which may also affect their economic success in other ways.

Kwon et al. (2020) adopt a different technique and come to a different conclusion. They use an instrumental variable (IV) approach and find that standard OLS overestimates the negative effect of sanctions, in other words, that sanctions’ effects are less negative than we think. They find an instantaneous effect on per capita GDP that becomes insignificant in the long run, just as if sanctions never happened.

Our confidence in these estimates hinges upon the validity of the IV used. In this case, the actual imposition of sanctions is replaced by its estimated likelihood based on sender countries’ variation in institutions and diplomatic policies (which are exogenous to the target country’s economic developments) and pre-determined country-pair characteristics (trade and financial flows, travels, colonial ties). Therefore, episodes where sanctions are imposed because the sender country happens to be in a period of hawkish foreign policy and because the target does not have strong historical relations with them are contrasted to episodes in which the opposite is true, and sanctions are therefore not implemented, everything else being equal.

The results also show that there is heterogeneity across types of sanctions, with trade sanctions having both a short and long run negative impact, while smart sanctions (i.e. sanctions targeted on particular individuals or groups) have positive effects on the target country’s economy in the long run.  This is quite an important point in itself. Often, sweeping statements about effectiveness of “sanctions” lump all the different measures together, and fail to appreciate that there may be substantial differences. However, the effect of one or another type of sanctions will vary depending on the structure of the economy that is hit.

A third approach is the synthetic control method. Here the researcher tries to replicate as closely as possible the path of economic development in the target country up to the point of sanctions’ implementation, using one or a weighted average of several other countries. In this way, evolution after sanctions’ inception can be compared between the actual country and its synthetic control. Gharehgozli (2017) builds a replica of Iran based on a weighted combination of eight OPEC member countries, two non-OPEC oil-producing countries and three neighboring countries, that match a set of standard economic indicators for Iran over the period 1980-1994. The study finds that over the course of three years the imposition of US sanctions led to a 17.3 percent decline in Iran’s GDP, with the strongest reduction occurring in 2012, one year after the intensification of sanctions (2011-2014) was initiated.

This is a stronger effect than those presented earlier. However, it only speaks to the special case of Iran, rather than estimating a broader global average effect. Another study focusing on Iran (Torbat, 2005) makes the important point that the effect of sanctions varies by type: financial sanctions are found to be more effective (in lowering Iran’s GDP) than trade sanctions – which contrasts with what is found to be true on average by Kwon et al. (2020).

Finally, the relation between economic damage and the effectiveness of sanctions in terms of reaching their goals is debatable. In a theoretical model, Kaempfer et al. (1988) suggest that this relation might even be negative and that the most effective sanctions are not necessarily the most damaging in economic terms. The sanctions most likely to facilitate political change in the target country are those designed to cause income losses on groups benefiting from the target country’s policies, according to the authors.

The Effect of Sanctions on Russia

Are these results from previous studies useful to form expectations about the effects of the current sanctions on Russia? The invasion of Ukraine which started at the end of February was a relatively unexpected event, at least in character and scale, in contrast to what can be said in the majority of situations involving sanctions. However, the context leading up to it was not one of normality either. Besides the global pandemic, Russia was already under sanctions following the Crimean Crisis in 2014. The impact of those economic sanctions, and of the counter-sanctions imposed by Russia as retaliation, is still unclear – and will be in all probability completely dwarfed by the current sanction wave as well as other exogenous shocks, such as significant changes in oil prices in this period. Kholodilin et al. (2016) estimated the immediate loss of GDP in Russia to be 1,97 percent quarter-on-quarter, while no impact on the aggregate Euro Area countries’ GDP could be observed. A Russian study (Gurvich and Prilepsky, 2016) forecasted for the medium term a loss of 2,4 percentage points by 2017 as compared to the hypothetical scenario without sanctions. This pales in comparison to the magnitude of consequences that are being contemplated now. Even the potentially optimistic, or at least conservative, assessment of the current situation by the Russian Federation’s own Accounts Chamber, in the words of its head Alexei Kudrin, suggests that: “For almost one and a half to two years we will live in a very difficult situation.” At the end of April, they published revised forecasts on the economic situation, among which the one for GDP is shown below. Russian Central Bank chief Elvira Nabiullina also sounded bleak, speaking in the State Duma: “The period when the economy can live on reserves is finite. And already in the second – the beginning of the third quarter, we will enter a period of structural transformation and the search for new business models.” The World Bank has forecasted that Russia’s 2022 GDP output will fall by 11.2% due to Western sanctions. These numbers do not yet factor in the announcement of the sixth EU sanction package, which famously includes an oil embargo (see an earlier FREE Policy Brief on the dependency of Russia on oil export).

Figure 1. Revised forecasts of growth rates for the Russian economy

Source: Macroeconomic survey of the Bank of Russia, April 2022.

Are these estimates realistic, and what would have been the counterfactual development without sanctions? If we believe the studies reviewed in the previous section, and also taking into account the unprecedented scale and reach of the current sanctions, at least the time horizon, if not the size, of the consequences forecast by Russian authorities is, though substantial, certainly underestimated. But there is too much uncertainty at the moment, hostilities are still ongoing and sanctions are not being lifted for quite some time in any foreseeable scenario. One reason why these sanctions are not likely to be relaxed, and why their impact is expected to be more severe than in most cases, is that a very broad coalition of countries is backing them. Not only this but the sanctioning countries see Russia’s conduct as a potential threat to the existing world order, so their motivation to contrast it is particularly strong relative to, say, the cases of Iran, North Korea, or Burma.

Moreover, these loss estimates do not yet factor in the announcement of the sixth EU sanction package, which famously includes an oil embargo. Oil is a fundamental driver of growth in Russia. An earlier FREE Policy Brief shows how two-thirds of Russia’s growth can be explained by changes in international oil prices. This is not because oil constitutes such a large share of GDP but because of the secondary effect oil money generates in terms of domestic consumption and investment. Reducing export revenues from the sale of oil and gas will therefore have significant effects on Russia’s GDP, well beyond what the first-round effect of restricting the oil sector would imply.

In short, it is too early to venture an assessment in detail, however, the scale of loss that can be expected is clear from these and many other indicators. In the longer run, it will only be augmented by the relative isolation in which Russia has ended up, implying lower investments and subpar capital inputs at inflated prices, and by the ongoing brain drain (3,8 million people have already left the country since the war began).

Conclusion

In conclusion, the debate about economic sanctions as a tool of foreign policy is often restricted to a binary question: do they work or not? There is ample support in the literature studying sanctions to say that this question is too simplistic. Even if we do not see immediate success in reaching the main aim of the sanction policy, they do cause damage, in many dimensions, and such damage is non-negligible. The political will and the regime behind it may be unaffected, but the resources they need to continue with their course of action will unavoidably shrink in the longer run.

References

  • Afesorgbor, S. K. (2019). The impact of economic sanctions on international trade: How do threatened sanctions compare with imposed sanctions?. European Journal of Political Economy, 56, 11-26.
  • Afesorgbor, S. K., & Mahadevan, R. (2016). The impact of economic sanctions on income inequality of target states. World Development, 83, 1-11.
  • Crozet, M., & Hinz, J. (2020). Friendly fire: The trade impact of the Russia sanctions and counter-sanctions. Economic Policy, 35(101), 97-146.
  • Dreger, C., Kholodilin, K. A., Ulbricht, D., & Fidrmuc, J. (2016). Between the hammer and the anvil: The impact of economic sanctions and oil prices on Russia’s ruble. Journal of Comparative Economics, 44(2), 295-308.
  • Drury, A. Cooper and Dursun Peksen. “Women and economic statecraft: The negative impact international economic sanctions visit on women.” European Journal of International Relations 20 (2014): 463 – 490.
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