Project: FREE policy brief

The Impact of Rising Gasoline Prices on Swedish Households – Is This Time Different?

Oil pumping jacks in sunset representing rising gasoline prices

The world is currently experiencing what can be labelled as a global energy crisis, with surging prices for oil, coal, and natural gas. For households in Sweden and abroad, this translates into higher gasoline and diesel prices at the pump as well as increased electricity and heating costs. The increase in energy-related costs began in 2021, as the world economy struggled with supply chain issues, and intensified as Russia invaded Ukraine at the end of February this year. In response, the Swedish government announced on March 14th this year that the tax rate on transport fuels would be temporarily reduced by 1.80 SEK per liter (€0.17) and that every car owner would receive a one-off lump-sum transfer of 1000 SEK in compensation (1500 SEK for car owners in rural areas). This reduction in transport fuel tax rates in Sweden is unprecedented. Since 1960, the nominal tax rate on gasoline has only been reduced three times – and then only by very small amounts, ranging from 0.04 to 0.22 SEK per liter. In this policy brief, we put the current gasoline price in Sweden into a historical context and answer two related questions: are Swedish households paying more today for gasoline than ever before? And should policymakers respond by reducing gasoline taxes?

The Price of Gasoline in Sweden

Sweden has a long history of using excise taxes on transport fuel as a means to raise revenue for the government and to correct for environmental externalities. As early as 1924, Sweden introduced an energy tax on the price of gasoline. Later in 1991, this tax was complemented by a carbon tax levied on the carbon content of transport fuels. On top of this, Sweden extended the coverage of its value-added tax (VAT) to include transport fuels in 1990. The VAT rate of 25 percent is applied to all components of the consumer price of gasoline: the production cost, producer margin, and excise taxes (energy and carbon taxes). Before the announced tax cut this year, the combined rate of the energy and carbon tax was 6.82 SEK per liter of gasoline. Adding the VAT that is applied on these taxes, amounting to 1.71 SEK, yields a total excise tax component of 8.53 SEK. This amount is fixed in the short run and does not vary with changes in the oil price.

Figure 1. Gasoline pump price: 2000-2022

Source: Monthly data on gasoline prices are provided by SPBI (2022).

Figure 1 shows the monthly average real price of gasoline in Sweden from 2000 to March of 2022. The price has increased over the last 20 years and is today historically high. Going back even further, the price is higher today than at any point since 1960. Swedish households are thus paying more for one liter of gasoline than ever before.

Figure 2. Gasoline expenditure per 100 km

Source: Trafikverket (2022).

However, a narrow focus on the price at the pump does not take into consideration other factors that affect the cost of personal transportation for households. First, the average fuel efficiency of the vehicle fleet has improved over time. New vehicles sold today in Sweden can drive 50 percent further on a liter of gasoline compared to new vehicles sold in 2000. Arguably, what consumers care about most is not the cost of one liter of gasoline per se but the cost of driving a certain distance – the utility we derive from a car is the distance we can travel. Accounting for the improvement over time in the fuel efficiency of new vehicles (Figure 2), we find that even though it is still comparatively expensive to drive today, the current price level no longer constitutes a historical peak. In fact, the cost of driving 100 km was as high, or higher, in the period from 2000-2008.

Second, any sensible discussion of the cost of personal transportation for households should also factor in changes in household income over time. The average real hourly wage has increased by close to 40 percent between 2000 and 2022. As such, the cost of driving 100 km, measured as a share of household income, has steadily gone down over time. Even more, this pattern is similar across the income distribution; for instance, the cost trajectory of the bottom decile group is similar to that of all employees. This is illustrated in Figure 3. In 1991, when the carbon tax was implemented, an average household had to spend around two-thirds of an hour’s wage to be able to drive a distance of 100 km. By 2020, that same household only had to spend one-third of an hour’s wage to drive the same distance. There is an increase in the cost of driving over the last two years but it is still cheaper today to drive a certain distance, in relation to income, compared to any year before 2012.

Taken all of this together, we have seen that over time, vehicles use fuel more efficiently on the expenditure side, and households earn higher wages on the income side. Based on this, we can conclude that the cost of travelling a certain distance by car is not historically high today. On the contrary, when measured as a share of income, it was 50 percent more expensive for most of the 21st century.

Figure 3. Cost of driving as a share of income

Source: Data on average hourly real wages are provided by Statistics Sweden (2022).

Response From Policymakers

It is, however, of little comfort for households to know that it was more expensive to drive their car – as a share of income – 10 or 20 years ago. We argue that what ultimately matters for the household is the short run change in cost – and the speed of this change. If the cost rises too fast, households cannot adjust their expenditure pattern quickly enough and thus feel that the price increase is unaffordable. And the change in the gasoline price at the pump has been unusually rapid over the last 12 months. From the beginning of 2021 until March of 2022, the pump price has risen by around 50 percent.

So, should policymakers respond by lowering gasoline taxes? The possibly surprising answer is that lowering existing gasoline tax rates would be counter-productive in the medium and long run. Since excise taxes are fixed and do not vary with the oil price, they reduce the volatility of the pump price by cushioning fluctuations in the market price of crude oil. The total excise tax component including VAT constitutes more than half of the pump price in Sweden, a level that is similar across most European countries. This stands in stark contrast with the US, where excise taxes only make up around 15 percent of the consumer price of gasoline. As a consequence, a doubling of the price of crude oil only increases the consumer price of gasoline in Sweden by around 35 percent, but in the US by around 80 percent. Furthermore, households across Sweden, Europe, and the US have adapted to the different levels of gasoline tax rates by purchasing vehicles with different levels of fuel efficiency. New light-duty vehicles sold in Europe are on average 45 percent more fuel-efficient compared to the same vehicle category sold in the US (IEA 2021). As such, US households do not necessarily benefit from lower gasoline taxation in terms of household expenditure on transport fuel and are even more vulnerable to rapid increases in the price of crude oil. Having high gasoline tax rates thus reduces – and not increases – the short run welfare impact on households. Hence, policymakers should resist the temptation to lower gasoline tax rates even during the current energy crisis. In the medium and long run, households would buy vehicles with higher fuel consumption and would be more exposed to price surges in the future, again compelling policymakers to adjust tax rates and creating a downward spiral. Instead, alternative measures should be considered to alleviate the effects of heavy price pressure on low-income households – for instance, revenue recycling of the carbon tax revenue and increased subsidies for public transport.

Conclusion

To reach environmental and climate goals, Sweden urgently needs to phase out the use of fossil fuels in the transport sector, which is Sweden’s largest source of carbon dioxide emissions. This is exactly what a gradual increase of the tax rate on gasoline and diesel would achieve. At the same time, it would benefit consumers by shielding them from the adverse effects of future oil price volatility.

The most common response from policymakers goes in the opposite direction. In Sweden, the Social Democrats – the governing party – have announced a tax cut on gasoline and diesel of 1.80 SEK per liter but the political parties in opposition have promised even larger tax cuts. Some proposals would even effectively abolish the entire energy and carbon tax on gasoline. Similar tax cuts have been announced for example in Belgium, France, the Netherlands, and Germany. Therefore, this time is indeed different – but in terms of the exceptional reactions from policymakers rather than in terms of the cost of gasoline that households face.

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.

Financial Aid to Ukrainian Reconstruction: Loans Versus Grants

20220429 Financial Aid to Ukrainian Reconstruction Image 00

This brief provides an overview of the discussion on the relative merits of grants and loans in the literature on foreign aid, including a short section on debt relief initiatives. These claims are then tested against the context of Ukrainian post-war reconstruction, and it is argued that the case for providing grants is very strong. This argument is based on the magnitude of the investments needed, the need to create a long-run sustainable economy, the road towards a future EU membership, and the global value of a democratic and prosperous Ukraine as a bulwark against autocratic forces.

Introduction

One topic in the discussion on the post-war reconstruction of Ukraine is to what extent foreign support should come as loans or grants. The case at hand regards reconstruction in the aftermath of a military invasion by an aggressive neighbor. Therefore, Ukrainian reconstruction is sometimes compared to the Marshall Plan, the US package to help rebuild Europe after World War II. But this choice is also part of the more general discussion on foreign aid, comparing concessional loans (loans with lower interest rates than the market rate) with grants (financial transfers with no expectation of repayment), not least since many aid receiving countries have been highly indebted. What are then the arguments in favor of one or the other in the foreign aid literature? And how should we think about this in the context of the Ukraine crisis?

The Case for Loans

From a donor perspective, loans could be preferred from a purely financial viewpoint, as long as they are repaid. This must be put into the perspective of the purpose of foreign aid, though. If the purpose is to increase the welfare of the poor, and if loans cause macroeconomic imbalances that eventually lead to a debt crisis, using loans for aid will defeat its purpose. It is thus important, even from a donor perspective, to differentiate between the pure financial costs and the effectiveness and efficiency of foreign aid in relation to the stated goals. Yet, the paradigm on which development banks such as the World Bank motivate their strategy is that, even from an effectiveness perspective, loans may outperform grants. In their model, the bank has a broad portfolio of investments across multiple countries prioritized in order of the social rate of return. By lending out money, the bank can invest the returns from the most prioritized project into the second-most prioritized project, most likely in a different country. If the money instead had been given as a grant, the best possible outcome is that the receiving country can now invest the returns in the next best project within that country. This argument thus relies on the assumption that development banks can continually identify the most promising recipients among their wide portfolio of alternatives.

It has also been argued that grants may reduce incentives to raise tax revenues, and encourage government consumption over investments, as there is no need to generate net revenues to repay the debt (e.g., Clements et al. 2004; Djankov et al. 2004). From a donor perspective, it can also be argued that the monitoring of grants may be weaker because donors have no direct financial interest in the success of a project if it is financed by a grant. The disciplining effect of loans, though, relies on the absence of moral hazard problems. If receiving governments expect debt to be forgiven anyway when it is perceived as unsustainable and counterproductive to the country’s development, loans may be no better.

Based on arguments such as those above, part of the literature suggests that concessional loans are more likely than grants to promote growth in recipient countries, at least in good institutional environments. Cordella and Ulku (2007) look into this in detail and develop a model linking the degree of concessionality, for a given level of foreign aid (i.e. the extent to which finances are on preferential terms compared to market rates), to the receiving country’s economic growth rate, in a world where default is possible. Concessionality varies from 100 percent grants to 100 percent loans on market terms. The model suggests that a country with better policies and stronger institutions has a higher absorptive capacity for investments, meaning it can handle a lower level of concessionality (i.e., more loans, fewer grants) without going into default. They also argue that the immediate incentives for default on a loan are higher for a poorer and more indebted country as the cost of servicing the loan is higher. This would motivate relatively more grants and fewer loans to countries that are poor and highly indebted. Taking this to the data, they find in consistence with their theory that for any given level of total assistance, the impact on growth is increasing with the degree of concessionality for poor countries with weak policy and institutional environments, whereas this matters less for richer countries with better policies and stronger institutions. Looking at the level of indebtedness, the results are inconclusive.

The Case for Grants

The arguments above generally favor loans over grants, but it is of course crucial to also consider the risks and consequences of excessive debt burdens and sovereign default. Perhaps the most dramatic example of the potential consequences of shouldering a country with an excessive debt burden comes from Germany after the end of World War I. The economic struggles and sense of humiliation that followed have been argued to have contributed to German grievances leading up to World War II. Less dramatic but still with significant implications is the “lost decade” affecting Latin American middle-income countries in the 1980s. The combination of cheap credit from oil-exporting countries and the sudden dramatic increase of international interest rates following US policies in the early 1980s resulted in unsustainable levels of commercial loans. This crisis led to a US initiative, the Brady Plan, by which bank loans were consolidated and partially backed by the US government.

Excessive lending is often the result of distorted incentives. Within development banks, there are widely recognized internal incentives to get projects “through the door” (e.g., Briggs 2021). This “aid pushing” happens for both grants and loans, but the consequences can be more detrimental for loans if this leads to unsustainable debt levels. Similarly, there is evidence of defensive lending, where countries receive loans simply to be able to repay previous loans. Birdsall et al. (2003) find that donors lent more to African countries with bad policies if they had a large existing debt. On the other side, recipient country governments with short-term horizons and in environments with weak institutional checks and balances do not necessarily internalize the full costs of excessive lending. Due to these incentives on both sides, loans too often reach unsustainable levels, with debt to GDP ratios and debt to net export revenues becoming increasingly alarming.

With increased recognition of the costs of development of unsustainable levels of official lending, debt negotiations targeting highly indebted low-income countries have become common. These negotiations have often taken place through the Paris Club (a group of 22 high or upper-middle income creditor nations, including Russia) or through the HIPC (Highly Indebted Poor Countries) initiative (e.g. Birdsall et al. 2002). These debt reduction agreements have been continuously renegotiated, offering more and more generous conditions including debt forgiveness, rescheduling of existing loan terms, and more focus on grants in the portfolios of official financing.

Of particular relevance for this note, though, are the discussions around these initiatives that illustrate the different arguments made in favor of, or against, debt relief. As brought up in Birdsall et al. (2002), critique against the HIPC initiatives came from both sides. On the one hand, some argued that debt forgiveness was just more aid “down the rathole”, encouraging irresponsible policies by receiving governments (e.g. Easterly 2001), and fuelled by commercially motivated bilateral donors and multilateral institutions with misguided bureaucratic incentives. In order for aid to be effective, much more stringent conditionality was needed, and if that didn’t work, stricter selectivity in terms of which governments to partner with. On the other hand, others argued that the initiatives did not go far enough (e.g. Sachs, 2002). The economic arguments largely relied on concepts of a poverty trap, impossible to escape under conditions of a heavy debt burden requiring scarce foreign exchange to be used for debt service and discouraging investments. These countries were perceived as particularly vulnerable to adverse economic shocks, and as such, in need of insurance mechanisms that wouldn’t burden them with claims hampering their ability to prosper looking forward. But there was also a moral dimension, with blame focused on the creditor side, arguing that citizens of poor nations could not be burdened by debt issued for political reasons by creditors looking the other way when receiving rulers used proceeds for personal purposes.

Financing Post-war Recovery

The discussion above relates to foreign aid in general. The situation of financing post-war recovery is more specific, but past examples may give some points of reference. It should be noted, however, that every situation is unique in terms of the level of destruction, preconditions for a quick recovery, the political ramifications, and the risk of a resurgence of violence. And all these factors matter for the ability and willingness of foreign actors to step in and help.

An often-made reference in conjunction with Ukrainian recovery plans is the Marshall Plan, also known as the European Recovery Plan following World War II. Through this plan, financed by the US, initially 16 countries in Europe were getting “help to self-help” at an amount corresponding to roughly 10,5 percent of the countries’ GDP at the time (roughly about $13 billion, or $138 billion in 2019 dollars). The resources were spent differently across receiving countries, depending on the level of physical destruction. Importantly, grants accounted for as much as 90% of the total resources (Becker et al. 2022). More generally, grants usually account for a more significant share of aid flows when it comes to post-war reconstruction. This is natural, as a large share of the funding typically goes to humanitarian relief, and war-torn countries tend to be saddled with debt and a low capacity to raise domestic revenues in the short to medium term given the destruction of the war.

The common reference to the Marshall Plan in the context of Ukraine is probably partly geographically motivated: it is another war in Europe. But there are also other reasons, such as the direct unprovoked aggression by one of the world’s leading military powers, and the potential ramifications for world peace and the existing world order. The Marshall plan was motivated by the desire to avoid the mistakes from the peace agreements after WWI, and to help create a unified western Europe as a bulwark against further communist expansion from the Soviet Union. There are similar arguments to be made for the case of Russia’s war on Ukraine.

Implications for Ukraine Reconstruction

According to World Bank statistics, the total external debt stock of Ukraine in 2020 was $130 billion in current values, or 81,4 % of Gross National Income (GNI). This is already quite high, but the war has of course completely upended the situation and the IMF argued that Ukraine was facing debt sustainability issues already by the beginning of March 2022. Public finances are in the short run facing double pressure from a steep fall in revenues as economic activity drops and the ability to raise taxes is eroded, and an increase in expenditures on defence and humanitarian relief. Looking ahead, estimates of the Ukrainian costs of the war range between $440 and $1 000 billion by end of March 2022, but there is of course high uncertainty, and the bill is increasing for each day that the war goes on (Becker et al. 2022). This could be compared to the 2021 estimate of Ukraine’s GDP at around $165 billion. Even in the most optimistic scenarios, the rebuilding effort will be very costly, and will require massive amounts of foreign capital.

The sheer amount of effort needed in itself speaks to the need for grant financing. Rebuilding will require both public and private capital, and attracting new investments will necessitate an economic environment that is perceived as stable, dynamic, and conducive to long-term growth. As in the discussion on debt forgiveness for low-income countries above, such new investments are unlikely to materialize if the debt situation is deemed unsustainable. Furthermore, arguments in favor of loans over grants on grounds of fostering domestic macroeconomic responsibility and reducing moral hazard problems, fall flat when a country is invaded by an aggressive neighbor. Ukraine has had its share of bad politics, but the current situation is not caused by poor policies, lack of reform, or irresponsible lending under the assumption of future bailouts.

It should also be noted that both the Ukrainian government and representatives of the European Union (EU) have emphasized the long-term ambition that Ukraine should join the EU. This will not be possible, however, unless the country’s economy is in order, including a sustainable debt level, according to EU requirements for all joining members. Were Ukraine to shoulder excessive levels of debt at this moment it would thus jeopardize this ambition. And not least, Ukraine is fighting for its survival, but the war is also part of a wider emerging struggle between democratic and authoritarian forces over the future world order. The result of the war is of great significance for all democratic countries, though it’s the people of Ukraine that are facing the immediate horrific consequences. It is thus in our common interest to rebuild a prosperous and democratic Ukraine also as a bulwark against further authoritarian ambitions to change the existing world order. A Ukraine saddled with an unsustainable debt burden runs completely counter to the interests of the democratic world.

The Marshall Plan was successful in its goal “to permit the emergence of political and social conditions in which free institutions can exist”. This allowed for economic and political cooperation to take roots in western Europe, also contributing to political stability and prosperity. This cooperation expanded further east after 1989 with the inclusion of new member states into the European Union, largely solidifying a move towards market-based democracy in the region (despite some recent setbacks, primarily in Hungary). Let us build on these successful examples. The current situation offers an opportunity to bring an additional 44 million people into the European umbrella of peaceful cooperation in the near future. This ambition would become much more difficult, though, if Ukraine was saddled with an excessive debt burden.

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.

The EU Import Bill and Russian Energy Sanctions

20220428 Image of Gazprom office in Russia representing Russian Energy Sanctions

Since the beginning of the Russia-Ukraine war, the West has been contemplating sanctions on Russian oil and gas imports. For the EU, this plan poses a significant challenge due to the long-existing sizable dependency on Russian energy. In this brief, we outline the possible effects of banning Russian oil and gas on the energy import bill across the EU. While the effects of such a ban will go beyond a direct increase in the import costs of oil and gas, our estimates provide a useful reference point in discussing the impact of such sanctions on the EU. Our estimates suggest that the relative increase in the import costs in the case of an oil embargo would be more evenly spread across the Member States, than in the case of a natural gas ban. This parity makes an EU-wide Russian oil embargo a more straightforward sanction policy. In turn, a full replacement of Russian gas imports across the EU – due to either a gas embargo or retaliation from Russia in response to an oil ban – is likely to require some kind of solidarity mechanism.

Introduction

Since the beginning of the Russian invasion of Ukraine, the West has been discussing the idea of sanctioning the aggressor by banning Russian energy imports. The motivation is quite straightforward. In 2021, Russian oil and gas exports constituted 49% of Russian goods exports or 14 % of Russian GDP, and the Western world (in particular, the European Union) is the main recipient of these exports. Banning Russian oil and gas export would, thus, lead to heavy pressure on the Russian economy.

The discussion has been quite heated. The US actually implemented a ban on Russian oil and gas in early March 2022, but this gesture has been largely seen as relatively symbolic, as the US dependency on Russian energy imports is quite limited. EU politicians have voiced different opinions about the feasibility of Russian energy sanctions. While some advocate an immediate ban, others argue for a more gradual decrease in imports or even for continuing imports effectively in a business-as-usual fashion. While the EC has announced plans to cut down the consumption of Russian gas by two-thirds in 2022 and mentioned the implementation of “some form of oil embargo” as part of their 6th sanction package, there is still no consensus across the EU. Sanctions on Russian oil and gas imports have not been implemented in the EU by the time of writing this brief.

The main reason for this hesitation is the extent to which Russia remains the main energy supplier. In 2020, 39% of gas and 36% of oil and oil products in the EU were imported from Russia, and the feasibility and consequences of replacing these with alternative supplies are debatable. Since the beginning of the war academics, international organizations and consultancies have offered a variety of analytical materials on the feasibility and implications of such energy sanctions (see e.g., Bachmann et al. 2022. Chepeliev et al, 2022, Fulwood et al., 2022, Guriev and Itskhoki, 2022, Hilgenstock and Ribakova, 2022, IEA, 2022, RYSTAD 2002a,b, Stehn, 2022 to name just a few).

This brief contributes to these estimates by discussing how a Russian oil and gas ban could affect the energy import bill across individual EU countries. We start by providing details on the EU’s dependency on Russian oil and gas imports. We then proceed to access the scope of the costs that a ban on Russian energy could imply for the EU energy sector. We conclude with a discussion about the feasibility of political agreement on such sanctions.

Import Dependency and Dependency on Russian Energy Across the EU

The two primary channels through which a Russian energy ban would affect the vulnerability of an EU country are the dependency on Russian oil and gas, and the overall energy import dependency. The former matters since a ban would imply an immediate necessity to replace missing volumes of energy. This would lead to an increase in energy prices widely across markets, thereby signifying the importance of the latter channel, the overall import dependency.

Figures 1 and 2 depict the dependency on Russian oil and gas across the EU member states. In Figure 1, the dependency is measured as a ratio of Russian energy imports to the gross available energy for each energy type separately – crude oil, oil and oil products, and natural gas. However, this measure may not reflect the importance of the respective energy type in a country’s energy portfolio. For example, in Finland, Russian gas imports constitute 67% of gross available natural gas. However, natural gas is less than 7% of the country’s energy mix, thus the overall effect of Russian gas on the Finnish energy sector and economy is rather limited. To account for this, Figure 2 offers an overview of the contribution of Russian energy imports to the cumulative energy portfolio across the EU.

Both figures show that there is a large variation both in terms of the contribution of individual energy types and in terms of overall dependency on Russian fuels. For example, the latter is almost negligible for Cyprus and well over 50% for Lithuania (however, Figure 2 accounts for re-exports and, thus, overestimates the role of Russian energy imports for Lithuanian domestic available energy in 2020.

Figure 1. Share of Russian energy imports in gross available energy, by fuel, 2020.

Note: Gross available energy indicates the overall available energy supply on the territory of the country. It is defined as Gross available energy = Primary production + Recovered and recycled products + Imports – Exports + Change in stock. . In several EU member states natural gas transit may be included in the imports. As a result, the high share of Russian energy may reflect not only imports for consumption but also for transit, as well as fuels for refinement and further export (e.g. oil products in Estonia (cut at Figure 1, 285%), Lithuania (cut at Figure 1, 201%), Slovakia and Finland). Austrian data on natural gas imports from Russia are confidential and not represented in the diagram. Denmark and Croatia did not report Russian gas imports data for 2020 to Eurostat. Source: Eurostat

Figure 2. Share of Russian energy imports in total gross available energy, 2020. Source: Eurostat

Note: See Figure 1. Source: Eurostat

While the above data summarizes the EU dependency on Russian energy imports in volume terms, it is also useful to have a sense of the costs of this dependency. As we are not aware of any source that has accurate data on the value of imports across the EU states, we construct a back-of-the-envelope assessment of the costs of Russian energy imports to the EU in 2021 using the available trade data for 2021 and the allocation of imports across the EU Member States for 2020 (see Appendix 1 for more details). Admittedly, these estimates only account for the differences in prices of energy imports from Russia vs. other suppliers; it does not capture e.g., the difference in prices of Russian gas across the Member States. Still, they offer useful insight into the scope of these expenses, in levels (Figure 3) and the share of GDP (Figure 4).

The results suggest that, while the expenses are quite sizable – e.g., the total value of Russian fossil energy imports to the EU in 2021 exceeds 110 bln EUR, – they correspond to around 0.7% of European GDP. Again, there is variation across the Member States, but in most cases – effectively all cases that do not account for re-export – the share of Russian energy imports is below 2% of GDP.

Figure 3. Value of Russian fossil energy imports, bln EUR, 2021.

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Appendix 1.

Figure 4. Share of oil, oil products and gas imports in GDP, 2021.

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Appendix 1.

Figure 4 also touches upon the second source of vulnerability towards a ban on Russian energy, mentioned at the beginning of this section. It depicts not only the value of Russian oil and gas imports as a percent of GDP but the overall dependency on imports of oil and gas as a share of GDP. The larger this dependency is, the bigger is the impact of an increase in energy prices for a country. Figure 4 not only confirms the abovementioned variation across the Member States but also shows that some countries with little-to-moderate direct dependency on Russian oil and gas – e.g., Portugal or Spain, – are still likely to experience a sizable negative shock to their energy expenses due to the market price increase.

Importantly, these figures give only a very rough representation of the potential damage that a ban on Russian energy imports may cause to the EU economies. Two EU Member States with a comparable dependency could react to the shortage of Russian gas in very different ways, depending on a variety of other factors – the extent and scalability of domestic production, diversification of their remaining energy portfolio in terms of energy suppliers and types of oil the economy relies on (e.g., light vs. heavy), energy infrastructure (e.g., LNG regasification facilities or storage), consumption structure, etc. Le Coq and Paltseva (2009, 2012) discuss in detail some of these factors, and the possibilities to account for them. However, for the sake of simplicity, in this brief we focus on the (volume- and value-based) measures of dependency.

Potential Costs of Russian Energy Import Ban

In this section, we discuss the potential implications of banning imports of Russian oil and gas on the costs of fossil energy imports in the EU. We offer a few historical parallels in order to assess the potential scope of the price reaction to such a ban. Furthermore, we proceed to provide estimates of the costs of oil and gas imports across the EU Member States, would such sanctions be implemented.

Oil Imports Ban

We start with a potential ban on Russian oil and oil product imports. To put things in perspective, it might be useful to present some numbers. According to the IEA, Russia recently surpassed Saudi Arabia as the world’s largest oil and oil products exporter. In December 2021, global Russian crude and oil product exports constituted 7.8 million barrels per day (mb/d), with exports of crude oil and condensate at 5 mb/d. Out of the total 7.8 mb/d, exports to OECD countries constituted 5.6 mb/d, with crude oil exports amounting to 3.9 mb/d. Assuming that the size of the global oil market in 2021 returns to its pre-pandemic 2019 level (the actual data for 2021 global oil consumption is not available yet), Russian crude oil exports to the OECD constitute 8.6% of global crude exports. The corresponding figure for oil products is 6.8% (BP, 2021).

So, what would happen if the developed world – which for the purpose of this analysis we proxy by OECD – bans Russian oil exports? In the recent public discussion, many voices have compared this potential development to the 1973 oil crisis. This crisis was initiated by OAPEC’s – the Arab members of OPEC, – oil embargo on the US in response to their support of Israel during the Yom Kippur War. The OAPEC, the biggest group of oil exporters at the time, completely banned oil exports to the US (and a number of other western countries), and also introduced production restraints that affected the global oil market. The (WTI) oil price during this episode went up by a factor of three (see, e.g, Baumeister and Kilian, 2016).

However, a few important features are likely to differ between the oil crisis of 1973 and the potential impact of the Russian imports ban. First, the net loss of oil supplies during the Arab embargo was around 4.4 mb/d, which at that point constituted around 14% of traded oil (Yergin, 1992). Recall that Russian supplies to OECD are around half of this share. Moreover, it is likely that the ban would not lead to a complete withdrawal of these amounts from the market, but rather to a partial rerouting of Russian oil to Asia and, consequently, a readjustment of world oil trade flows. Second, Yergin (1992) points out that, at the time of the 1973 oil crisis, oil consumption was growing at 7.5% per year, which exacerbated the impact of the embargo. In contrast, the current assessments of oil demand growth are at around 2% per year (IEA, 2022). Third, the energy portfolios are much more diversified now than in 1973, with gas and renewables playing a more substantial role. In the case of an isolated oil imports ban (not extending to gas imports), this would argue in favor of a more moderate price impact. Finally, the oil embargo of 1973 was a never-seen-before episode in the history of the oil market. The uncertainty about future developments has likely contributed to the oil price increase. While there is substantial uncertainty associated with the impact of a Russian oil imports ban, it is arguably lower than in 1973. Based on these considerations, a three-fold oil price increase in the case of a Russian oil export ban seems highly unlikely.

As a possible lower bound of the price impact, one can consider a much more recent price shock brought about by drone attacks on the oil processing facilities Abqaiq and Khurais in Saudi Arabia in 2019. In the initial assessment of the damage, Saudi Arabian authorities stated that the attack decreased the national oil production by 5.7 mb/d – which is more than the total of Russian oil exports to OECD. As a reaction, the intraday oil price went up by 20 %, and the daily oil price by 12%. In two weeks, production and export capacity was almost back to normal and the price returned to pre-shock levels.

Notice that the scale of the daily shortage in this episode exceeds the likely shortage under the Russian imports ban. However, a moderate price reaction, in this case, was clearly driven by expectations for the temporary nature of the shortage, as the damage was to be repaired in a matter of a few weeks, if not days. In comparison, the Russian oil ban is likely to last much longer. In this way, a price increase of 12%, or even 20%, would be an underestimation of the effect of a Russian oil imports ban.

While the above discussion suggests some bounds for the possible price effects of a Russian oil ban, the uncertainty around such price developments is very high.  Figure 5 shows the cost estimates of oil and oil products imports to the EU for two potential price levels – $120/b, and $180/b. Each price would roughly correspond to an increase of 33%, and 100%, respectively, relative to the pre-invasion price of $90/b. In the estimation, we simplistically assume that the price of oil products increases by the same amount as the price of crude oil. We also assume that the missing Russian oil can be replaced by alternatives, such that oil consumption does not change compared to the 2021 level for the lower price scenario and that it decreases by 2% for the high-cost scenario due to the demand adjustments.

Figure 5. Estimated effect of Russian oil ban on oil and gas imports in 2022: value of oil and oil products imports, EUR bln (left axis), and oil import expenses relative to 2021 level (right axis).

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Footnote 1.

The estimates suggest that the total oil and oil products import costs for the EU would be just above EUR 640 bln for the $120/b price level and EUR 940 bln for the $180/b price level. Furthermore, the costs across the EU Member States would vary greatly depending on the size of the economy and its exposure to oil imports.

This shows that – provided that the Russian oil will be fully replaced but at a higher price – the expected cost of this is in the range of 1.7-1.9 times the 2021 expenses at 120$/b, and 2.5-2.8 times that if the price would be 180$/b. While there is some variation across Member States, mostly driven by the removal of the somewhat cheaper Russian oil from the consumption basket, it is rather limited. Figure 5 also demonstrates that the ban on Russian oil imports is going to affect not only countries that directly depend on Russian oil but also countries with large oil and oil products imports due to the market price effects.

Gas Imports Ban

Now we proceed to discuss the costs of banning Russian gas imports into the EU. While LNG has increased the fungibility of the natural gas market, it remains sizably segmented. Therefore, we concentrate on the effect on the European market.

Russian gas constituted around 39% of the EU gas consumption volumes in 2020, and just below 30% in 2021 due to restricted supply during the second half of the year (McWilliams, Sgaravatti and Zachmann, 2021). It is currently a common understanding that fully substituting 155 Bcm of Russian gas imports in 2021 with imports from other pipeline suppliers, LNG, storage, and increasing domestic production is not feasible in 2022. Different sources have given different estimates on the extent of the resulting shortage, see e.g. Table 1.

Table 1. Alternatives to replace EU imports of Russian natural gas

Source: Rystad Energy (2022a, 2022b), Fulwood et.al (2022), IEA (2022).

As shown in Table 1, the net missing gas consumption ranges between 12% and 22% across different scenarios. As there are no historical episodes in the gas market to which such a development can be compared, it is difficult to assess the potential price reaction. One rough comparison can be made based on the oil market situation during the Arab oil embargo of 1973 discussed above. Then, the net loss of oil constituted about 9% of the oil consumption in “the free world” (Yergin, 1982), even lower than the most optimistic prognosis in Table 1. However, 33 Mcb of Russian gas (or 6% of 2021 the EU’s gas consumption) has already been imported to the EU since the beginning of 2022, making the potential gas shortage quite comparable to the oil shortage of 1973. Subject to all differences between the two shocks, one can, perhaps, still argue that the gas price increase following a ban on Russian gas imports should not exceed three-fold from before the invasion.

It is important to stress here that the EU gas market situation in the case of the Russian gas embargo would be principally different from the oil market one. Due to supply shortage not coverable by the alternative gas sources, a gas embargo would lead not only to a stronger price increase than in the case of oil, but also to significant downward demand adjustments, rationing and, perhaps, even price controls. (This, again, parallels the developments during the 1973 oil crisis). The negative effect of such rationing is not accounted for by the import bill. On the contrary, a shortage of supply would imply lower gas import volumes, biasing the impact on the gas import bill downward. In this way, an import bill reaction to sanctions in the case of natural gas may more strongly underestimate the overall impact on the economy than in the case of oil.

While the above argument suggests a higher price increase in the case of a gas embargo in comparison to an oil ban, there is still a lot of uncertainty in forecasting the gas price. Figure 6 depicts the estimates for the natural gas cost across the EU for two potential price levels – EUR 160/Mwh, and EUR 240/Mwh, a two- and three-fold increase relative to the pre-invasion price level of EUR 80/Mwh. Both estimates assume a (moderate) 8% decrease in the demand reflecting the abovementioned supply shortage and demand adjustments. We assume that the shortage is affecting both the importers of Russian gas and those who use other suppliers due to the common gas market in the EU and the use of reverse flow technology – as was the case for Poland which was denied Russian gas on April 27th, 2022 due to not paying for it in Rubles (see Appendix 1 for a discussion of implications of this assumption).

Not surprisingly, the gas import costs increase drastically in comparison to 2021. The total figures for the EU would be just below EUR 680 bln in the two-fold price increase scenario, and exceed 1 trn EUR in the case of a three-fold increase, in contrast to EUR 185 bln in 2021. Again, the largest economies bear the highest costs in absolute value.

When it comes to the relative increase in gas import value, two further observations follow from Figure 6. First, there is a huge variation in the increase in the value of gas imports across the Member States, from no effect in Cyprus which does not import natural gas, to 7.7 times in the case of a price doubling and 11.5 times in the case of a price tripling. Again, this variation originates from the necessity to replace cheaper Russian gas with more expensive gas sources, and the effect is much stronger than for oil. However, just like in the oil case, the states not directly importing Russian gas will still experience a huge negative shock from such a price hike. (Recall also, that the variation of the impact across the Member States is likely underestimated here, as the gas bill does not account for potential rationing which may differentially impact the importers of Russian gas).

Second, the increase in the value of gas imports exceeds the scale of the price increase even for the least affected Member States (excluding Cyprus). This is due to the unprecedented gas price increase during the EU gas crisis that took place between late 2021 and the beginning of 2022. Due to this increase, the pre-invasion gas price in February 2022 was 60% higher than the average gas price in 2021.

Figure 6. Estimated effect of Russian natural gas ban on gas imports in 2022: value of gas imports, EUR bln (left axis), and gas import expenses relative to 2021 level (right axis).

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Footnote 1.

Conclusions

The above estimates suggest that a ban on Russian oil and gas imports is going to be costly for the EU. While uncertainty is very high concerning the possible energy price increase following such a ban, historical parallels together with the market characteristics suggest that both the price increase and the rise in the value of imports are going to be stronger for natural gas. The resulting increase in the EU-wide import values relative to 2021 ranges from 1.8 to 2.6 times for the considered oil scenarios, and from 3.7 to 5.5 times for the natural gas scenarios.

Unsurprisingly, the most sizable import costs will be faced by the larger EU Member States, as well as those most dependent on oil and gas imports. However, all EU countries are going to be affected due to the market price increase. While the relative rise in the import costs of oil and oil products will be fairly uniformly met across the EU states, the increase in the costs of gas exports will vary greatly, with the largest relative losses faced by the EU states that are currently more exposed to Russian gas imports.

The above figures provide a rough assessment of the potential costs of a Russian fossil fuels ban. The approach does not take into account substitutability between different fuels and resulting cross-effects on prices, which implies that the costs could be both under- and overestimated. It has a very limited and simplistic take on the demand reaction to a price increase, which again may lead to either over- or underestimation of the effect. Neither does it account for the consequences of such price increases on the costs of electricity and implications for the non-energy sector within the economies. The latter may, again, be differentially affected depending on the industrial composition and their relative energy intensity. Another factor to consider is the interconnectivity between the EU economies – for example, an increase in Germany’s energy bill is likely to have a large impact on the entire EU. Moreover, the use of the import bill as a proxy for the overall effect on the economy may have further limitations in the case of supply shortage and rationing. To provide a more precise estimate of the impact of such a ban on the entire economy, for instance on GDP, one would require an extensive and sophisticated model along the lines of the CGE approach, relying on large amounts of data (Bachmann et al. (2022) provide an excellent example of such a study of the effect on Germany). This, however, is beyond the scope of the current assessment.

Still, even this relatively simplistic assessment of import costs of a Russian energy ban offers sufficient food for thought for the discussion of the scale of damage across the EU Member States and the feasibility of oil and gas sanctions. For example, the assessment suggests that an oil ban is likely to yield relative parity across the Member States in terms of the increase in the 2022 oil import bill as compared to the 2021 level. This would imply that, were the EU to decide on a gradual sanctioning of Russian oil and gas, it would be easier to reach an EU-wide agreement on oil sanctions. In turn, moving away from Russian gas – due to either the decision to ban gas imports or retaliation from Russia in response to oil sanctions, -implies very uneven import cost exposure. Thus, to face the challenge of replacing Russian gas imports, the EU would likely need to implement some kind of energy solidarity mechanism.

References

  • Baumeister, C., & Lutz Kilian. (2016). “Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us.” Journal of Economic Perspectives, 30 (1): 139-60.
  • Bachmann, R., D., Baqaee, C., Bayer, M., Kuhn, B., Moll, A., Peichl, K., Pittel & M. Schularick. (2022). “What if? The Economic Effects for Germany of a Stop of Energy Imports from Russia”, ECONtribute Policy Brief 28/2022.
  • BP. (2021). Statistical Review of World Energy
  • Chepeliev, M., T. Hertel and D. van der Mensbrugghe. (2022). “Cutting Russia’s fossil exports: Short-term pain for long-term gain”, VoxEU.org, 9 March.
  • Fulwood, M., Sharples J., & J. Henderson. (2022). ”Ukraine Invasion: What This Means for the European Gas Market”, The Oxford Institute of Energy Studies, March
  • Guriev, S. & O. Itskhoki. (2022). “The Economic Rationale for Oil and Gas Embargo on Putin’s Regime”.
  • IEA. (2022). “A 10-Point Plan to Reduce the European Union’s Reliance on Russian Natural Gas”.
  • Hilgenstock, B. & E. Ribakova. (2022). “Macro Notes – Russia Sanctions: A Possible Energy Embargo”, Institute of International Finance
  • Le Coq, C. & E. Paltseva. (2009). “Measuring the security of external energy supply in the European Union”, Energy Policy 37: 4474-4481.
  • Le Coq, C. & E. Paltseva. (2012). “Assessing Gas Transit Risks: Russia vs. the EU”, Energy Policy, 4: 642-650.
  • McWilliams, B., Sgaravatti G., Tagliapietra S., & Zachmann G. (2022). “Can Europe Survive Painlessly without Russian Gas?”, Bruegel, 27 February.
  • McWilliams, B., Sgaravatti G.,  & Zachmann G. (2021). “European Natural Gas Imports”, Bruegel Datasets
  • Rystad Energy. (2022a). “Energy Impact Report, Russia’s Invasion of Ukraine, public version”, March 2
  • Rystad Energy. (2022b). “Energy Impact Report, Russia’s Invasion of Ukraine, public version”, March 21
  • Stehn, S. J., Ball, S., Durre, A., Radde, S., Schnittker, C., Taddei, F. & Quadr, I. (2022). “The Impact of Gas Shortages on the European Economy”, Goldman Sachs, March
  • Y. Daniel. (1992). The Prize: The Epic Quest for Oil, Money, and Power. New York: Simon and Schuster.

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.

On the Necessity of Pension Reform in Belarus

20220425 Pension Reform in Belarus Image 01

Belarus has a pay-as-you-go pension system that becomes unsustainable with an ageing population. The country has recently finished the process of increasing the retirement age by 3 years to 63 and 58 for men and women, respectively. In Lvovskiy and Bornukova (2022), we show that this reform is not sufficient for delivering sustainability to the pension system, and further reforms are necessary. We show that the available space for further increasing the retirement age is limited and cannot eliminate deficits. The introduction of a fully-funded component delivers balance and pension gains in the long run but deepens the deficit problem for the first 30 years after its introduction. Reforming the pension system and transitioning to a fully-funded system would be a major policy challenge for Belarus after political change, and possible policy options should be explored now.

Demographic Challenges

Similar to many European countries, the population of Belarus is ageing. The average age is rising both due to increasing life expectancy and low fertility.

Another demographic peculiarity that has contributed to population ageing is the series of strong demographic waves post-WWII, which were entrenched by the fertility crisis 1990s following the dissolution of the Soviet Union. As a result of these waves, one of the largest cohorts is entering retirement in Belarus in the coming years, while being replaced by one of the smallest cohorts in the labor market.

Figure 1. Old-Age Dependency Ratio in Belarus

Source: Own projections based on Belstat data on current demographic trends. The base scenario assumes the current total fertility rate of  1.38 children per woman and current age-specific death rates. The emigration of 200 thousand scenario represents the base scenario in addition to 200 thousand working-age adults emigrating from the country in 2022. The TFR= 1.73 scenario assumes current age-specific death rates but an increase in TFR to the recent high of 1.73 children per woman.

Due to the combination of population ageing and the demographic waves, old age-dependency (number of people above the retirement age per number of working-age people) is projected to increase from 0.4 in 2020 to around 0.65 in 2055 (see Figure 1).

Status Quo in the Pension System

Currently, the Belarusian pension system is almost entirely pay-as-you-go, with today’s workers paying contributions that are channelled directly into pension benefits. Almost all workers pay 35% to the Social Security Fund, with 27 percentage points dedicated to pension expenditure. There are several exemptions with lower rates applied: agrarians, IT, and individual entrepreneurs. Considering all the exemptions, we have estimated the effective rate of pension contributions to be 18%.

If the pension system does not undergo substantial reform, it would need to go into large deficits (as shown previously in Lisenkova & Bornukova, 2017), or the pensions (as a percentage of the average wage) would have to decrease. Based on current demographic data, our own demographic projections and financial data from the Social Security Fund, we have simulated two scenarios without any reforms.

Figure 2. Two Scenarios under Status Quo.

Source: Own projections based on Belstat data on current demographic trends.

Base Scenario 1 assumes that the level of pensions remains at the current 39% of the average wage. As seen in Figure 2, under this Scenario the deficit rapidly takes off from the current level of around 0.5% of GDP and surpasses 5% of GDP annually after 2050. Theoretically, it is possible to finance this deficit with budget transfers, but it will require a lot of budget consolidation.

Scenario 2 assumes that the Social Security Fund deficit remains constant at 0.31% of GDP as in 2019, while the size of the pensions adjusts. In this case, by 2050 the replacement rate (the ratio of the average pension to the average wage) falls below 26% from the current level of 39%. While this replacement rate would be similar to the lowest among the OECD countries (31% in Lithuania, OECD 2022), it would put many retirees below the poverty line, given the low earnings in Belarus.

There Is No Easy Way Out

To avoid the negative scenarios that assume either a significant budget consolidation or a deterioration in the well-being of retirees, Belarus would have to reform its pension system. The reforms could either be parametric, like increasing the retirement age; or structural, implying a shift to a fully-funded pension system.

Figure 3. Effects of Retirement Age Increase

Source: Own projections based on Belstat data on current demographic trends.

Increasing the retirement age is a relatively easy way out, and Belarus is already moving in this direction: since 2017, the retirement age was set to gradually increase by 3 years to 58 and 63 years for women and men, respectively. However, Figure 3 clearly shows that this step alone is not enough. Further increasing the retirement age, especially for men, might be problematic given the low life expectancy (69.3 for men and 79.4 for women). Healthy life expectancy for men is 62.3 years (WHO, 2022), already lower than the retirement age. Hence, while minor retirement age increases are possible in the future, at the moment the potential for such reform would be limited to women only

Figure 3 shows how two different scenarios of the retirement age increase could improve the status quo (63/58). Equalizing the retirement ages for men and women to 63/63 keeps the Social Security Fund deficit below 3% of GDP annually in the long run, while further increasing to 65/65 would keep it under 2%. However, the retirement age increases are not enough to balance the Social Security Fund in the long run and still require additional sources of financing.

Introducing a Fully-Funded Pillar

Introducing a fully-funded pillar is not a panacea as it will not resolve the deficit problem in the next 20-30 years. However, it could provide background for a non-deficit Social Security fund in the future, as well as an increase the well-being of retirees.

When introducing a fully-funded component while keeping the pay-as-you-go system, it is important to find the optimal distribution of social contributions between pillars. Through simulations, we found that the optimal amount of contributions to the fully-funded pillar (the amount that minimizes aggregate deficits of the Social Security Fund by 2100) is one-third of total contributions. This amount is also delivering a zero-sum of discounted deficits by 2100.

 Figure 4. Introducing a Fully-Funded pillar

Source: Own projections based on Belstat data on current demographic trends.

As we can see in Figure 4, introducing a fully-funded pillar in 2025 will initially deepen the deficits (since part of the contributions would now go into saving instead of financing current pensions), but after around 30 years of reform, the pension system would turn into a surplus. The surplus could be used to increase the replacement rate and well-being of retirees and pay back the debt accumulated during the initial stage of the reform.

Conclusion

Population ageing makes the pay-as-you-go pension system in Belarus unsustainable. Without reform, the system would need extra financing from the budget (up to 5% of GDP annually). Alternatively, financial sustainability could be achieved at the cost of a lower replacement rate and lower well-being of retirees.

An increase in the retirement age and the introduction of a fully-funded pillar are two of the most frequently discussed options of reform. Our simulations show that none of the options could help Belarus avoid deficits in the medium run. The fully-funded system delivers long-term sustainability.  However, the need to finance large deficits in the process of introducing a fully-funded pillar represents a policy challenge as the policy will deliver benefits only in the long run.

Of course, other policy options are also on the table. Belarus (after political change) could secure loans from IFIs to finance the deficit in the medium run. It could use the proceeds from privatization to cover the deficits, at least partially. The effective contributions rate could be increased by minimizing exemptions and loopholes. Finally, Belarus might decide to finance the deficit of the pension system with the budget expenditure, finding fiscal space elsewhere.

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.

Ukrainian Refugees in Poland: Current Situation and What to Expect

20220317 Ukrainian Refugees in Poland Image 03

The 2022 Russian invasion of Ukraine has forced millions to flee from the war zone. This brief addresses Ukrainian refuge in Poland. It provides an overview of the current situation, discusses the ongoing solutions and potential future challenges, and stresses the key areas for urgent policy intervention. It is based on a presentation held at the FREE Network webinar Fleeing the war zone: Will open hearts be enough?, which took place on March 14, 2022. The full webinar can be seen here.

The latest data (from March 15, 2022) shows that since February 24, 1.8 million refugees have already crossed the Polish-Ukrainian border. This number represents over 60 percent of Ukrainians who have fled the country thus far. Among this group that relocated to Poland, approximately 97 percent were people with Ukrainian citizenship. Most of the foreign nationals living in Ukraine before the war, and who came to Poland after its outbreak, have already returned to their countries of origin.

Figure 1. The influx of refugees from Ukraine to Poland since February 24, 2022.

Note: The vertical axis shows the number of refugees per million. Source: Data from Polish Border Guard

Our estimates show that there are currently about 1.1 million Ukrainian war refugees in Poland. Many stay in large cities such as Warsaw, Kraków or Wrocław. The rest of those who crossed the Polish border transited to the other EU Member States or countries outside of Europe, such as Canada or the USA, reuniting with their families and friends.

In the first days after the outbreak of the war, refugee assistance in Poland was mostly provided by Polish families and households, as well as owners of guesthouses and hotels who made them available for the purpose of providing accommodation.

A similar situation took place at the border and at railway and bus stations where refugees were arriving, with a majority of support coming from volunteering citizens. This assistance largely consisted of the provision of basic necessities such as food, hygiene products, and medical or psychological first aid. The level of mobilization among non-governmental organizations, grass-roots initiatives, private citizens, and civil society, in general, is extremely commendable and should be accredited with providing the safe welcome refugees received upon arrival. For example, during the first days, Polish families sheltered several hundred thousand refugees, often in their own houses or apartments. There are currently two main Ukrainian social groups arriving in Poland: women with children and older persons over the age of 60. This is a result of Ukraine’s internal regulations, which prohibit men aged between 18 and 60 from leaving the country.

Among those who have managed to escape the war, there is a large group of people requiring very specialized support, e.g. children suffering from oncological diseases, and elderly with a high degree of disability. So far, these groups have been provided with the necessary support, but if these needs become more frequent, a review of the capacity of the Polish healthcare system and the system of support for the disabled will be needed.

In the first days after the war broke out, the situation at the border was very difficult. The waiting time for crossing reached up to 70 hours. However, this was related to problems with the information system and the limited number of border guards on the Ukrainian side. Currently, crossing the border is quick and seamless. Every day the Polish Border Police register 80 to 100 thousand individuals, a vast majority of them crossing into Poland. This is a many-fold increase compared to pre-war migration flows, which fluctuated around 12-15 thousand people per day. At the same time, over 80.000 people, mainly men, have crossed the Polish border to Ukraine in the last 20 days with the goal of joining the army or territorial defense.

For a long time, the Polish government held the position that there would be no need to build refugee centers. However, the government recently reversed this decision and decided to open a dozen centers, located in market and sports halls. Currently, over 100,000 people are staying in these types of temporary accommodation facilities. However, these centers are not sufficiently adapted for stays longer than a few days. It is necessary to prepare housing infrastructure (temporary accommodation centers equipped with habitable containers) in which refugees can stay for two or three months until they find another place to live.

So far, Poland has essentially dealt with two of three possible migratory waves. In the first, people with family members or friends living in Poland or in other EU Member States arrived. Before the war, there were already approximately 800 thousand Ukrainians working or studying in Poland. In the second wave, after the bombing of civilian facilities in large cities, people without family or friends living in Poland started arriving. They require full assistance. A third wave is possible, and this one may be much larger than the previous two. It may occur if the situation at the front worsens and the repressions by Russian troops become harsher. Such reports are already coming from eastern Ukraine. If the situation worsens, Poland could even face a couple of additional million people that would leave Ukraine. Under these circumstances, we should assume that the third wave would include young men in addition to women, children, and the elderly. This scenario is currently very unlikely, but cannot be completely ruled out.

Since the beginning of March, Poland has seen an increase in the activity of both local representatives of the government administration and the central government. Information has been gathered about vacancies in smaller cities and local communities where refugees could be accommodated. This is because large cities are on the verge of reaching their capacity for the number of refugees they are able to manage. In addition, a special law entered into force on March 13, which provides for a catalogue of support tools for refugees. The main issues are:

1. The possibility of obtaining an individual identification number, which will enable the opening of a bank account and grant access to the labor market, education, and social benefits. It will be possible to apply for the ID number from March 16. Certainly, large queues can be expected in the first days, as the procedure is complicated and rather bureaucratic. The government decided to require all the necessary information at the start of the application process, which could be complicated for some applicants and lead to additional delays. Based on recent numbers, up to 1 million Ukrainians may apply for an individual identification number in the near future.

2. Reimbursement of the costs of hosting refugees from Ukraine in Polish family homes and in private hotels. The government has agreed to cover the value of around 8 euros per day for each person. However, receiving this refund requires submitting a special application to the local administration offices, which may again cause various kinds of perturbations, and even resignation from obtaining such support.

3. Ukrainian children can be enrolled in Polish schools. It will also be possible to open school branches in temporary accommodation centers, as well as parallel Ukrainian classes inside Polish schools. At present, however, the preferred model is the inclusion of Ukrainian children in Polish classrooms. Currently, no major problems have been reported with this process, but only around 10% of Ukrainian children have entered Polish schools so far. Numerous challenges connected with this integration process are expected. Part of the solution could be distance learning or hybrid learning. The priority is to involve children in education as fast as possible so that they do not lose time while living in Poland from an educational development point of view.

4. A simplified system of qualifications recognition has been implemented for nurses and doctors. Unfortunately, contrary to the advice of experts, the act does not provide guidelines for a simplified qualification recognition of teachers, educators or psychologists from Ukraine. In his media statements, the Minister of Education and Science did not rule out introducing a simplified procedure in the near future. Such recognition could, to some extent, solve the problem of understaffing in Polish schools.

5. All adults from Ukraine who arrived after February 24 have open access to the labor market.

Until early March, the Polish government did not apply for support from other EU member states. Now, this position has changed. Over the first weekend of March alone, more than 20 trains were organized that made it possible for refugees interested in moving from Poland to countries such as Germany or other destinations within the EU. Additional relocation measures are expected in the near future. However, in contrast to the European migrant crisis in 2015, the relocation scheme of Ukrainian refugees is carried out on a voluntary, rather than a compulsory basis.

It is very difficult to predict what will happen in the next days or weeks. While it should be emphasized that Poland is managing the migration challenge well, this is not least due to the exceptional commitment of civil society. Certainly, in the coming months, Poland will not be able to cope with the integration of more than 800.000 people into the labor market and education system. Of course, it is possible to provide ad-hoc support, but that is completely different than integrating refugees into Polish society. Ukrainians are still treated as guests who are expected to return to their homes when possible. Such an assumption should not be changed until May when the situation in Ukraine will be more predictable. We must also be aware that we are dealing with dispersed families who will want to reunite as soon as possible. It is not known, however, whether this will take place in Poland or in Ukraine. It depends on how the situation develops in the weeks and months to come.

In the coming weeks, the key issue will be the relocation of Ukrainian refugees from large to smaller cities within not only Poland but also the European Union. It is absolutely necessary to coordinate activities both at the level of the Polish government and the European Commission. As far as the Polish government is concerned, a task force should be established to maintain constant contact with the European Commission and the EU Member States regarding the ability to relocate refugees from Poland to other countries. This team should be composed mainly of civil servants from the Ministry of Foreign Affairs and the Ministry of the Interior. It is also necessary to appoint a team coordinating the actions of voivodes, who are responsible for crisis management in accordance with Polish law. It is also critical to ensure the flow of information between local administrations and the government, as well as to coordinate the activities of non-governmental organizations, whose activity is key in dealing with the challenges related to the migration crisis. In the next stages, it will be necessary to adopt a systemic approach to the inclusion of Ukrainian children in the education system (Polish and Ukrainian, but functioning in Poland – remote learning), and adult refugees to the labor market.

In the end, I would like to recall my opinion, which is now popular in the media and among representatives of the central government, local governments and non-governmental organizations: “Helping refugees and managing migration crises is a marathon, not a sprint.” We must keep this in mind.

The webinar “Fleeing the war zone: Will open hearts be enough?”, was hosted by the FREE Network together with the Stockholm Institute of Transition Economics (SITE) and can be seen here.

Investing, Producing and Paying Taxes Under Weak Property Rights

20220124 Gas Crisis European Energy Image 05

Oil majors often choose to operate in countries with weak property rights. This may appear surprising, since the lack of constraints on governments may create incentives to renege on initial promises with firms and renegotiate tax payments once investments have occurred and, in the worst case, expropriate the firm. In theory, backloading investments, production and tax payments may be used to create self-enforcing agreements which do not depend on legal enforcement. Using a new dataset covering the universe of oil majors’ assets that started production between 1974 and 1999, we indeed show in a recent CEPR Working Paper (Paltseva, Toews, and Troya-Martinez, 2022) that investments, production and tax payments are delayed by two years in countries with weak institutions relative to countries with strong institutions. Extending the dataset back to 1960 and exploiting the transition to a new world oil order where expropriation became easier, allows us to interpret our estimates as causal. In particular, prior to the transition expropriations were not feasible, due to the omnipresent and credible military threat imposed by the oil majors’ countries of origin. As the new order sat in, a new equilibrium emerged, in which expropriations became a feasible option. This transition incited an increase in expropriations and forced firms to adjust to the new reality by backloading contracts.

The Hold-up Problem

In December of 2006, when the oil price was climbing towards new heights, the Guardian reported that the Russian government was about to successfully force Shell into transferring their controlling stake in a huge liquified gas project back into the hands of the government. While officially this was motivated by environmental concerns surrounding the Sakhalin-II project, most observers agreed that this might be considered a textbook example of the hold-up problem faced by oil firms when investing in countries with limited constraints on the executive. At its core, the hold-up problem refers to the idea that the government may renege on the initial promise and appropriate a bigger share of the pie once investments have been made. Obviously, this is not an oil-specific issue and concerns any type of investment in countries with weak property rights. Academics, who worked on resolving these issues, suggest the use of self-enforcing agreements (Thomas and Worrall, 1994). These agreements use future gains from trade (as opposed to third-party enforcement) to incentivize the governments not to expropriate. And while the theoretical literature has prolifically developed over the last 30 years (Ray, 2002), to the best of our knowledge no empirical evidence has been provided on the use and dynamic patterns of self-enforcing backloaded contracts.

Data and Sample

In Paltseva, Toews and Troya-Martinez (2022), we rely on micro-level data on oil and gas projects provided by Rystad Energy, an energy consultancy based in Norway. Its database contains current and historical data on physical, geological and financial features for the universe of oil and gas assets. We focus on the assets owned by the oil majors (BP, Chevron, ConocoPhilips, Eni, ExxonMobile, Shell, and Total) using all assets that started production between 1960 and 1999, leaving us with a total of 3494 assets. An asset represents a production site with at least one well, operated by at least one firm, and with the initial property right being owned by at least one country. Being able to conduct the analysis on the asset level is particularly valuable since it allows us to control for a large number of confounding factors and rule out several alternative explanations of our main finding.

Moreover, there are three advantages of focusing our analysis on the oil and gas sector in general and the oil majors in particular. First, the sunk investments in the development of oil and gas wells are enormous, making the hold-up problem in the oil sector particularly severe. Second, oil majors have been around for many years since all of them were created before WWII. This provides us with a sufficiently long horizon to capture backloading over time. Third, the majors are simultaneously investing in many countries which provides us the necessary cross-sectional variation in institutional quality. To differentiate between countries with weak and strong institutions, we use a specific dimension from the Polity IV dataset measuring the constraints on the executive. The location of all the assets disaggregated by firm as well as a binary distinction in a country’s institutional quality is shown in Figure 1.

Figure 1. Spatial distribution of assets and institutional quality

Note: Location and ownership of assets are provided by Rystad Energy. The executive constraint indicator is taken from Polity IV and we use the median from the period 1950 to 1975 to define whether the country is considered to have strong or weak institutions. The cut-off of 5 implies that roughly 1/3 of the countries are defined as having strong institutions and roughly 50% of all the assets which started operation between 1950 and 2000 are located in countries with weak institutions.

A Stylized Fact

For the empirical analysis, our variables of interest are investment, production and tax payments normalized by the respective asset-specific cumulative sum over a period of 35 years. The resulting cumulative shares are depicted in Figure 2. We focus on physical production which, in addition to being considered the most reliable measure of an asset’s activity, does not require discounting. Real values of investment and tax payment depict a very similar picture. Most importantly, the dashed lines illustrate that 2/3 of cumulative production shares are reached approximately two years earlier in countries with strong institutions, in comparison to countries with weak institutions. The average asset size does not differ significantly between these groups. Such delays are costly for countries with weak institutions. Our back-of-the-envelope calculation suggests that the average country loses around 120 million US$ per year due to the delayed production and the respective tax payments. We confirm that the two-year delay cannot be explained by geographical, geological or financial confounders such as the location of the well, fuel type or contract features.

Figure 2. Years to reach 66% of cumulative flows in 35 years

Note: We use the Epanechnikov kernel with an optimally chosen bandwidth to plot the cumulative production over the 35-year life span of the asset. We group countries into two groups with weak and strong institutions according to Polity IV. This figure contains assets that started producing between 1975 and 1999.

The Transition to a New World Order

To push towards a causal interpretation of the results, we exploit the global transition to a new world oil order. This change affected the probability of expropriations in countries with weak institutions while leaving countries with strong institutions unaffected. In particular, the post-WWII weakening of the OECD members as political and military actors provides a natural experiment of global proportions. Expropriations are first viewed as impossible due to the military threat of British, French and US armies, and then become possible due to a global movement aiming at returning sovereignty over natural resources to the resource-rich economies. In the words of Daniel Yergin (1993): “The postwar petroleum order in the Middle East had been developed and sustained under American-British ascendancy. By the latter half of the 1960s, the power of both nations was in political recession, and that meant the political basis for the petroleum order was also weakening. […] For some in the developing world […] the lessons of Vietnam were […] that the dangers and costs of challenging the United States were less than they had been in the past, certainly nowhere near as high as they had been for Mossadegh, [the Iranian politician challenging UK and US before the coup d’etat in 1953], while the gains could be considerable.” Consequently, the number of expropriations has grown substantially since 1968, marking the transition to a new world order (Figure 3). However, Kobrin (1980) finds that even during the peak of expropriations in 1960-1976, only less than 5 % of all foreign-owned firms in the developing countries were expropriated. We suggest that this is, at least partly, thanks to the use of backloaded self-enforcing contracts.

Figure 3. Transition to a new world order

Note: Data on firm expropriations across all industries from Kobrin (1984).

Indeed, focusing on the years around the transition to the new world oil order, we show that there have not been any differences in investment, production or tax payments dynamics between countries with weak and strong institutions in the early years of the 1960s. But investment, production and the payments of taxes started experiencing significant delays after 1968 in the countries with weak institutions, using countries with strong institutions as a control. Intuitively, the omnipresence of a credible military threat in response to an expropriation served as an effective substitute for strong local formal institutions and eliminated the need for contracts to be self-enforced and backloaded in countries with weak institutions. Once this threat disappeared, contracts had to be self-enforcing and investment, production and tax payments had to be backloaded to decrease the risk of being expropriated by the governments of resource-rich economies. Theoretically, these initial differences in contract backloading between countries with strong and weak institutions should disappear in the long run, because the future gains from trade need to materialize eventually. We confirm empirically that this point is reached on average 20 years after firms start a contractual relationship with a country.

Conclusion

We provide evidence that oil firms seem to backload contracts in countries with weak institutions. We show that such backloading appears in the data during the transition to a new world order since 1968, when firms were in need of a new mechanism to deal with weak property rights and the risk of expropriations. We estimate the cost of such delays to be around 120 US$ per country and year. While this cost is high, it is important to emphasize that in the absence of such backloading, forward-looking CEOs of oil majors would often choose not to invest in the first place, since they would anticipate the severe commitment problems (Cust and Harding, 2020). Thus, as a second-best, the cost of the backloading may be marginal compared to the value added from trade when oil majors are willing to invest in countries with weak institutions and questionable property rights.

References

 

From East to West: A Paper Curtain in Swedish Foreign News Coverage?

Selective Focus Photography of Magazines representing Media Freedom Eastern Europe

How much a country is talked about in the media can determine its place in the public debate. In this brief, we collect data on the mentions of Eastern and Western European countries in the main Swedish newspapers over the past decades. We find consistently more coverage devoted to Western compared to Eastern Europe in the Swedish press. We investigate several factors that could explain this pattern. We find that while Eastern European countries are on average not more geographically distant from Sweden, Sweden tends to have closer trade links with Western European countries. Sweden is more culturally similar to the average Western European country in terms of language, religion and attitudes, cultural values and social norms. Trade relations and cultural proximity are associated with higher media coverage.

The media plays a vital role in modern societies by keeping the public informed and policymakers accountable. Whether and how events are covered by the news determines their relevance in the public debate. There is ample empirical evidence on the agenda-setting power of the news media. For example, Snyder and Strömberg (2010) show that local press coverage affects how informed US voters are about their representatives and in turn how much their politicians work in the interest of their constituencies. Eisensee and Strömberg (2007) find that news coverage affects how much disaster relief the US sends to foreign countries.

In this brief, we study the amount of news coverage devoted to European countries in the Swedish press. We document a systematic difference between Western and Eastern Europe and explore underlying factors that could be important in explaining this East-West divide.

The East-West Divide

We choose the four most widely read Swedish newspapers (Aftonbladet, Expressen, Dagens Nyheter, and Svenska Dagbladet) and use the newspaper database Retriever Research Media Archive to obtain statistics on the number of mentions of each country between 1995 and 2021. A country mention is an article in which the name of a country appears. Since two or more countries can be named in the same article, the total number of mentions does not correspond to the number of articles. As a percentage of all articles published by the four newspapers in 2021, roughly 20% mention at least one of these countries. While this simple measure of news coverage can be informative, it does not take into account many other aspects of a country’s prominence in the news, such as the length of articles, where articles appear, the tone of coverage, etc.

Figure 1 plots the sum of annual number of mentions by region over time. We see a clear difference in the amount of coverage devoted to Eastern and Western European countries. Over the entire time period, the 21 Western European countries were mentioned on average 2.7 times more than the 22 Eastern European countries.

While there does not appear to be a trend in relative coverage, there is considerable variation from year to year. The year when the relative difference in the number of mentions is smallest is 2014. The two most mentioned Eastern European countries in that year were Russia and Ukraine. Coverage likely increased due to the Crimean Crisis, when Russia invaded and annexed the Crimean Peninsula in Southern Ukraine. The relative difference was also low in 2008, coinciding with the Russo-Georgian war in August. In that year, other newsworthy events, such as the Global Financial Crisis or the UEFA European Football Championship, have a more ambiguous effect on relative media coverage.

Figure 1. Country mentions in Swedish newspapers

Note: Countries included in Eastern Europe: Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, Georgia, Hungary, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Russia, Serbia, Slovakia, Slovenia, Ukraine. Countries included in Western Europe: Andorra, Austria, Belgium, Denmark, Finland, France, Germany, Iceland, Ireland, Italy, Liechtenstein, Luxembourg, Malta, Monaco, Netherlands, Norway, Portugal, San Marino, Spain, Switzerland, United Kingdom.

What Explains This Discrepancy Between East and West?

There are a number of potential reasons why some countries systematically receive more attention in the press. In this section, we correlate the mean annual mentions of each country between 2019 and 2021 with different aspects of that country’s relationship with Sweden.

Distance and Population

Figure 2 shows how news coverage of a country depends on its geographic distance to Sweden and its population size. Overall, the further a country is from Sweden, the less that country is covered in the Swedish press. On average, Eastern European countries (in yellow) are covered less than Western European countries (in blue), for a given distance to Sweden. For example, Poland and Germany are both around 1000km away from Sweden, but Germany is mentioned almost twice as often in the Swedish press. As we measure the distance between the most populous city of each country and Stockholm, some of this difference in coverage is driven by the fact that countries sharing a border with Sweden receive extensive coverage. For instance, Denmark, Finland, and Norway are on average covered more than six times as much as Latvia.

Population also plays a role, that is, larger countries (e.g., Germany, Russia, Spain, and Poland) receive more coverage than smaller countries (e.g., Lithuania, Ireland, and Estonia). As Eastern European countries have on average smaller populations than Western European countries, population can partly explain the East-West difference in news coverage. One counterexample is Russia, which has more than twice as many people as France or the UK, but receives less coverage in the Swedish press.

Figure 2. Geographical distance and population

Note: Geodesic distances are calculated between the latitudes and longitudes of the most populous city of each country and Stockholm. Marker sizes are weighted by population averaged over 2019-2021, and fitted line is unweighted. Source: CEPII’s GeoDist dataset (Mayer and Zignago, 2006) and the World Bank. See Figure 1 for a list of countries included.

Trade and GDP

Figure 3 shows that Sweden’s economic relationship with a country affects how much the country features in Swedish news. We find a strong positive correlation of 0.8 between a country’s total trade volume with Sweden and country mentions in Swedish newspapers. As Sweden’s largest trading partners tend to be in Western Europe, this partly explains the relative coverage of East and West. Another factor is the overall size of a country’s economy (as measured by its GDP). Swedish newspapers more commonly mention countries with higher GDP, and these are more likely to be in Western than Eastern Europe.

 Figure 3. Trade and GDP

Note: Trade data are from 2019. Marker sizes are weighted by national GDP, and fitted line is unweighted. GDP figures are averaged over 2019-2021 and measured in current prices, PPP adjusted, international dollars. Source: The World Bank’s WITS database and the IMF World Economic Outlook, October 2021. See Figure 1 for a list of included countries.

Culture

There is a large literature documenting the link between cultural factors and the economic relationship between nations. For instance, studies show that similarities in ancestry, language, religion, norms and values can influence bilateral trade (Melitz, 2008; Guiso et al., 2009) and the diffusion of technology (Spolaore et al., 2009). In this section, we show how the amount of press coverage correlates with differences in language, religion, and values and norms using cultural distance data from Spolaore and Wacziarg (2016).

Figure 4.a shows that Swedish newspapers are more prone to cover countries whose languages are similar to Swedish. The language similarity measure originally developed by Fearon (2003) is based on the prevalence of languages within a country and distance between languages. The distance measure is calculated using linguistic trees provided in Ethnologue. It ranges from 0 (close) to 1 (distant) and reflects the expected number of common linguistic nodes between two randomly chosen individuals from each country and takes into account that countries can be linguistically heterogeneous (for more details, see Fearon 2003). Norway and Denmark are linguistically closest to Sweden, however, these are also two neighboring countries with which Sweden conducts extensive trade. On average, Eastern European countries are more linguistically distant from Sweden, although some Western European countries (such as France and Spain) are as linguistically distant from Sweden as many of the Eastern European countries and receive considerably more press coverage.

The religious distance measure by Spolaore and Wacziarg (2016) is calculated analogously to the linguistic distance measurement. It is based on the prevalence of different religions within a country and the distance between religions. Figure 4.b shows that countries that are religiously different from Sweden receive less coverage in the Swedish media. With the exception of the three Scandinavian countries, Eastern and Western European countries have similar levels of religious distance to Sweden. Based solely on this metric, the Swedish press mentions Eastern European countries less (and Western European countries more) than their religious distance to Sweden would predict.

Figure 4.c shows an index of a country’s cultural proximity to Sweden, that is, its distance in terms of cultural values, attitudes and norms based on average responses to the World Value Surveys from 1981 to 2010 (see Spolaore and Wacziarg, 2016). This cultural proximity index aggregates the Euclidian distances in survey responses between each country and Sweden. The index is standardized so that 0 shows the average country’s cultural distance to Sweden and negative (positive) values indicate above (below) average cultural similarity. Western European countries are significantly closer to Sweden than Eastern European countries based on this measure. As Swedish press coverage is on average declining in a country’s cultural distance to Sweden, this difference in country’s values and attitudes can explain some of the East-West difference in media coverage.

 Figure 4. Cultural distance

Panel a. Linguistic distance

Note: We use the indicator of tree-based weighted linguistic distance from Spolaore and Wacziarg (2016) and originally developed in Fearon (2003). This measure is an estimate of the expected or weighted number of common linguistic nodes between two randomly chosen individuals from each country. The data on language prevalence is compiled from a number of different sources and assembled in Fearon (2003). Countries included in Eastern Europe: Albania, Armenia, Azerbaijan, Belarus, Bulgaria, Croatia, Czech Republic, Estonia, Georgia, Hungary, Latvia, Lithuania, Moldova, Poland, Russia, Slovakia, Slovenia, Ukraine. Countries included in Western Europe: Austria, Belgium, Denmark, Finland, France, Germany (average between East and West Germany), Ireland, Italy, Netherlands, Norway, Portugal, Spain, Switzerland, United Kingdom

Panel b. Religious distance

Note: We use the tree-based weighted religious distance from Spolaore and Wacziarg (2016). This measure is an estimate of the expected distance between the religions of two randomly chosen individuals from each country. See Figure 4.a for a list of included countries.

 Panel c. Distance in cultural values, attitudes, and norms

Note: We use the distance in cultural norms and values from Spolaore and Wacziarg (2016).  This measure is based on all value-related questions from the World Values Survey Integrated Questionnaire from 1981–2010. The mean distance across countries is standardized to zero. See Figure 4.a for a list of countries included.

Conclusion

As the public and policymakers primarily receive information from the mass media, news coverage can have profound effects on public debate and policy decisions. Using data on the content of the four most widely read Swedish newspapers over the past decades, we measure how much the Swedish press covers Eastern and Western European countries. We find that over the past 25 years, there have been 2.7 times more mentions of Western than Eastern European countries. We find that the Swedish press is more likely to mention countries that are geographically closer, more populous, have a larger GDP and more trade with Sweden. Cultural proximity (as measured by language, religion and values, attitudes and social norms) also correlates with higher coverage. These factors are of course not independent from each other. For instance, the other Scandinavian countries with whom Sweden shares a border and a history, are culturally similar to Sweden and some of Sweden’s most important trading partners. They are also some of the countries that are most covered by the Swedish press. Some of these factors, such as sharing similar values, appear to explain the gap in coverage between East and West, while others, such as geographic distance, do not. More recently, concerns over energy security in the EU (see e.g., Le Coq and Paltseva, 2022) and the rise in military tension between Russia and Ukraine illustrate how developments in Eastern Europe can directly affect life here in Sweden. Perhaps it is time for Sweden to pay more attention to her eastern neighbours?

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.

Paradise Leaked: An Analysis of Offshore Data Leaks

20220131 Paradise Leaked Image 01

In recent years, there have been several high-profile leaks of documents related to the offshore financial industry, such as the Pandora Papers released last year. Some of the data contained in the leaked documents have now been made public. In this brief, we discuss the advantages and pitfalls of using these data for economic analysis. We show that despite some caveats, there are patterns in these data that can shed light on a secretive industry. For instance, the number of offshore entities linked to a country increases significantly when that country experiences a change in political leadership. By contrast, financial sanctions on a given country result in a reduction in the number of established offshore entities. In the immediate aftermath of the financial crisis, many countries signed bilateral treaties with tax havens in order to promote transparency. Our analysis of the leaked data shows that the overwhelming majority of offshore entities are not governed by these treaties.

“… that I may see and tell of things invisible to mortal sight.”

John Milton, Paradise Lost

Offshore Tax Haven Leaks

Zucman (2013) estimates that household wealth held in offshore tax havens is equivalent to 10% of world GDP. While there are many legitimate reasons for wealthy individuals to use offshore financial services, the secrecy surrounding offshore holdings has also enabled tax evasion and money laundering. The international community has launched several initiatives trying to increase the transparency of offshore wealth holdings. Over the past decade, several large collections of documents from offshore financial service providers have been leaked to the media: Pandora Papers (2021), Paradise Papers (2017/2018), Bahamas Leaks (2016), Panama Papers (2016), and Offshore Leaks (2013). Investigative journalists have used information from the leaks to expose many instances of secretive financial dealings linked to political leaders. Examples from FREE network countries include: the connections between a close ally of Belarussian President Alexander Lukashenko and a gold mining venture in Zimbabwe, the offshore business holdings of past and present Ukrainian presidents and their respective allies, and the wealth of Russian President Vladimir Putin’s close associates and childhood friends (see, for instance, Cosic 2021, Mylovanov and Mylovanova 2016).

The International Consortium of Investigative Journalists (ICIJ) has made public information on more than 800,000 offshore entities that are part of the offshore data leaks (see ICIJ Offshore Leaks database). The data contain information on the names of companies or people who set up offshore entities, their country of origin, the offshore jurisdiction, and the dates of incorporation and deactivation for offshore entities.

What Can We Learn from the Data?

Despite the wealth of information that this database contains, there has been relatively little academic research using the offshore leaks data. Two notable exceptions are Alstadsæter, Johannesen and Zucman (2019), and Londoño-Vélez and Ávila-Mahecha (2021), who link information from the Panama Papers to administrative records from Scandinavia and Columbia, respectively. They find that tax evasion is concentrated among the richest households. Guriev, Melnikov and Zhuravskaya (2021) use the revelation of the Panama Papers to study its effect on perceptions of corruption.

There are several challenges to using the offshore leaks data for systematic data analyses. First, there are both legitimate and illegal uses of offshore financial services, and without further information, it is not possible to distinguish between them. Second, as this information is obtained through leaks at specific offshore services providers, the data are unlikely to be representative of overall offshore financial activity. Third, there is no information on financial transactions, and we do not know the amounts of money involved in the offshore entities. Finally, more sophisticated offshore structures may make it impossible to deduce the ultimate owner of each entity and its country of origin. Especially for the second and third reasons, economists have tended to focus on balance of payments statistics and cross-border bank deposit data when estimating flows to offshore accounts. For example, Andersen, Johannesen, Lassen and Paltseva (2017) show how the oil wealth of countries with weak institutions is diverted into secret offshore accounts. Becker (2019) investigates recent trends in Russian capital flows and shows that a significant share of Russian money flows to Western European banks. See also Nyreröd and Spagnolo (2018, 2021) for discussions of the role of European banks in recent money laundering scandals.

With these caveats in mind, Figure 1 shows the correlation between the number of offshore entities in the data (on the y-axis) and the offshore wealth holdings of each country’s households (on the x-axis) as estimated by Alstadsæter, Johannesen and Zucman (2018). While the chart shows a positive correlation of 0.56 between these two measures, it also illustrates that the number of leaked entities may be a poor proxy for the stock of offshore wealth. Countries with a significant fraction of offshore wealth in European tax havens are underrepresented in the leaks (e.g., France, Germany, and Italy) while the UK, Russia, and Latvia account for a disproportionate share of leaked offshore entities.

Figure 1. Number of offshore entities and estimated offshore wealth

Source: ICIJ Offshore Leaks database, Alstadsæter, Johannesen and Zucman (2018) and authors’ calculations.

Timing of Offshore Entity Creation

While the number of overall leaked entities per country might not be a perfect measure of the amount of offshore wealth, we find that there are systematic patterns in the timing of the creation of offshore entities. In particular, more offshore entities are created when individuals face political uncertainty in their own countries and fewer offshore entities are created by individuals from countries under financial sanctions.

Elections and Change of Leadership

Figure 2 shows the average number of newly incorporated offshore entities linked to a given country (on the y-axis), depending on that country’s political situation. Panel A shows no clear pattern of offshore entities being created by companies or individuals around the time of elections. Elections are often predictable and frequently result in the reelection of the incumbent government. In contrast, Panel B shows a clear increase in the number of offshore entities linked to a country around the time when that country experiences a change in the de facto political leader. Around four months before there is a change in political leadership, the average number of entities created per country per month almost doubles. Offshore entity creation falls back to normal levels typically around half a year following the transition of power. This pattern suggests that wealth leaves countries at times of political uncertainty and is consistent with the findings of Andersen, Johannesen, Lassen and Paltseva (2017) and Earle, Shpak, Shirikov and Gehlbach (2021).

Figure 2. Offshore entity creation and national political situation

Panel a. Elections

Panel b. Change of political power

Source: ICIJ Offshore Leaks database, The Rulers, Elections, and Irregular Governance (REIGN) Dataset and authors’ calculations. A change of power is defined as a change in the de-facto political leader (e.g., due to the incumbent losing an election or the collapse of a coalition government).

International Sanctions

Figure 3 shows the impact of sanctions from the United Nations, European Union, and the United States on the average number of offshore entities linked to a given country (on the y-axis). Panel A shows that when a country is subject to financial sanctions, the number of linked offshore entities created falls to around 10 per year from an average of 25 before the introduction of sanctions. The impact of sanctions can already be seen in the year before the start of the sanctions, which could reflect measurement and reporting errors or anticipation of the sanctions. In contrast, Panel B shows that trade sanctions that are not accompanied by financial sanctions have no significant impact on offshore activities. These charts suggest that financial sanctions may have some impact on how much capital can be moved from countries under sanctions to offshore accounts.

Figure 3. Offshore entity creation and international sanctions

Panel a. Financial sanctions

Panel b. Trade (without financial) sanctions

Source: ICIJ Offshore Leaks database, Global Sanctions Data Base and authors’ calculations.

Promoting Transparency

After the Financial Crisis in 2009, G20 countries compelled offshore tax havens to sign bilateral treaties to allow for the exchange of banking information under the threat of economic sanctions. More than 300 treaties were signed by tax havens that year. The effectiveness of this policy has been debated. For instance, Johannesen and Zucman (2014) show that the treaties lead to a relocation of bank deposits from compliant to less compliant offshore tax havens.

The G20 crackdown required each tax haven to sign at least 12 bilateral treaties. Relative to a comprehensive multilateral agreement, this policy had two limitations. Firstly, it leaves room for the diversion of funds identified by Johannesen and Zucman (2014). Secondly, tax havens were able to choose freely among potential partner countries – regardless of the underlying financial flows. Figure 4 shows that only a small fraction of the entities in the offshore leak database have a country of origin that signed a treaty with the tax haven in which they were incorporated. In addition, the small share of entities that will be subject to treaties suggests that havens did not always sign treaties with the most important counterparts. While the leaked entities may not be representative of offshore finance as a whole, this picture appears inconsistent with the OECD’s claim that “the era of bank secrecy is over” (OECD 2011)

Figure 4. Entity creation by treaty status

Source: ICIJ Offshore Leaks database, treaty events from Johannesen and Zucman (2014) and authors’ calculations.

Conclusion

A series of leaks over the past decade have exposed over 40 million documents related to the secretive offshore financial industry. Information related to over 800,000 offshore financial entities has been made public by the ICIJ. While a few high-profile cases received significant media coverage and gave rise to further investigations, the vast majority of references to networks of individuals, trusts, and shell corporations are difficult to decipher. This brief argues that, collectively, these leaked documents can be informative. They can be used to analyze the reasons for moving money offshore (such as domestic political uncertainty) as well as the constraints individuals face when doing so (such as international sanctions or bilateral treaties on bank secrecy).

In an effort to further increase transparency, 102 jurisdictions committed to a new standard for the automatic exchange of certain financial account information between tax authorities from 2019. Until such reforms are successful, leaks by whistleblowers are likely to remain a valuable source of information on the offshore financial industry.

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.

What does the Gas Crisis Reveal About European Energy Security?

20220124 Gas Crisis European Energy Image 01

The recent record-high gas prices have triggered legitimate concerns regarding the EU’s energy security, especially with dependence on natural gas from Russia. This brief discusses the historical and current risks associated with Russian gas imports. We argue that decreasing the reliance on Russian gas may not be feasible in the short-to-mid-run, especially with the EU’s goals of green transition and the electrification of the economy. To ensure the security of natural gas supply from Russia, the EU has to adopt the (long-proclaimed) coordinated energy policy strategy.

In the last six months, Europe has been hit by a natural gas crisis with a severe surge in prices. Politicians, industry representatives, and end-energy users voiced their discontent after a more than seven-fold price increase between May and December 2021 (see Figure 1). Even if gas prices somewhat stabilized this month (partly due to unusually warm weather), today, gas is four times as expensive as it was a year ago. This has already translated into an increase in electricity prices, and as a result, is also likely to have dramatic consequences for the cost and price of manufacturing goods.

Figure 1. Evolution of EU gas prices since Oct 2020.

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

These ever-high gas prices have triggered legitimate concerns regarding the security of gas supply to Europe, specifically, driven by the dependency on Russian gas imports. Around 90% of EU natural gas is imported from outside the EU, and Russia is the largest supplier. In 2020, Russia provided nearly 44% of all EU gas imports, more than twice the second-largest supplier, Norway (19.9%, see Eurostat). The concern about Russian gas dependency was exacerbated by the new underwater gas route project connecting Russia and the EU – Nord Stream 2. The opponents to this new route argued that it will not only increase the EU’s gas dependency but also Russia’s political influence in the EU and its bargaining power against Ukraine (see, e.g., FT). Former President of the European Council Donald Tusk stated that “from the perspective of EU interests, Nord Stream 2 is a bad project.”.

However, neither dependency nor controversial gas route projects are a new phenomenon, and the EU has implemented some measures to tackle these issues in the past. This brief looks at the current security of Russian gas supply through the lens of these historical developments. We provide a snapshot of the risks associated with Russian gas imports faced by the EU a decade ago. We then discuss whether different factors affecting the EU gas supply security have changed since (and to which extent it may have contributed to the current situation) and if decreasing dependence on Russian gas is feasible and cost-effective. We conclude by addressing the policy implications.

Security of Russian Gas Supply to the EU, an Old Problem Difficult to Tackle

Russia has been the main gas provider to the EU for a few decades, and for a while, this dependency has triggered concerns about gas supply security (see, e.g., Stern, 2002 or Lewis, New York Times, 1982). However, the problem with the security of Russian gas supplies was extending beyond the dependency on Russian gas per se. It was driven by a range of risk factors such as insufficient diversification of gas suppliers, low fungibility of natural gas supplies with a prevalence of pipeline gas delivery, or use of gas exports/transit as means to solve geopolitical problems.

This last point became especially prominent in the mid-to-late-2000s, during the “gas wars” between Russia and the gas transit countries Ukraine and Belarus. These wars led to shortages and even a complete halt of Russian gas delivery to some EU countries, showing how weak the security of the Russian gas supply to the EU was at that time.

Reacting to these “gas wars”, the EU attempted to tackle the issue with a revival of the “common energy policy” based on the “solidarity” and “speaking in one voice” principles. The EU wanted to adopt a “coherent approach in the energy relations with third countries and an internal coordination so that the EU and its Member States act together” (see, e.g., EC, 2011). However, this idea turned out to be challenging to implement, primarily because of one crucial contributor to the problem with the security of Russian gas supply – the sizable disbalance in Russian gas supply risk among the individual EU Member States.

Indeed, EU Member States had a different share of natural gas in their total energy consumption, highly uneven diversification of gas suppliers, and varying exposure to Russian gas. Several Eastern-European EU states (such as Bulgaria, Estonia, or Czech Republic) were importing their gas almost entirely from Russia; other EU Member States (such as Germany, Italy, or Belgium) had a diversified gas import portfolio; and a few EU states (e.g., Spain or Portugal) were not consuming any Russian gas at all. Russian natural gas was delivered via several routes (see Figure 2), and member states were using different transit routes and facing different transit-associated risks. These differences naturally led to misalignment of energy policy preferences across EU states, creating policy tensions and making it difficult to implement a common energy policy with “speaking in one voice” (see more on this issue in Le Coq and Paltseva, 2009 and 2012).

Figure 2. Gas pipeline in Europe.

Source: S&G Platt. https://www.spglobal.com/platts/en/market-insights/blogs/natural-gas/010720-so-close-nord-stream-2-gas-link-completion-trips-at-last-hurdle

The introduction of Nord Stream 1 in 2011 is an excellent example of the problem’s complexity. This new gas transit route from Russia increased the reliability of Russian gas supply for EU countries connected to this route (like Germany or France), as they were able to better diversify the transit of their imports from Russia and be less exposed to transit risks. The “Nord Stream” countries (i.e., countries connected to this route) were then willing to push politically and economically for this new project. Le Coq and Paltseva (2012) show, however, that countries unconnected to this new route while simultaneously sharing existing, “older” routes with “Nord Stream” countries would experience a decrease in their gas supply security. The reason for this is that the “directly connected” countries would now be less interested in exerting “common” political pressure to secure gas supplies along the “old” routes.

This is not to say that the EU did not learn from the above lessons. While the “speaking in one voice” energy policy initiative was not entirely successful, the EU has implemented a range of actions to cope with the risks of the security of gas supply from Russia. The next section explains how the situation is has changed since, outlining both the progress made by the EU and the newly arising risk factors.

Security of Russian Gas Supply to the EU, a Current Problem Partially Addressed

Since the end of the 2000s, the EU implemented a few changes that have positively affected the security of gas supply from Russia.

First, the EU put a significant effort into developing the internal gas market, altering both the physical infrastructure and the gas market organization. The EU updated and extended the internal gas network and introduced the wide-scale possibility of utilizing reverse flow, effectively allowing gas pipelines to be bi- rather than uni-directional. These actions improved the gas interconnections between the EU states (and other countries), thereby making potential disruptions along a particular gas transit route less damaging and diminishing the asymmetry of exposure to route-specific gas transit risks among the EU members. Ukraine’s gas import situation is a good illustration of the effect of reverse flow. Ukraine does not directly import Russian gas since 2016, mainly from Slovakia (64%), Hungary (26%), and Poland (10%) (see https://www.enerdata.net/publications/daily-energy-news/ukraine-launches-virtual-gas-reverse-flow-slovakia.html). The transformation of the gas market organization brought about the implementation of a natural gas hub in Europe and change in the mechanism of gas price formation. It is now possible to buy and sell natural gas via long-term contracts and on the spot market. With the gas market becoming more liquid, it became easier to prevent the gas supply disruption threat.

Second, Europe has made certain progress in diversifying its gas exports. According to Komlev (2021), the concentration of EU gas imports from outside of the EU (excluding Norway), as measured by the Herfindahl-Hirschman index, has decreased by around 25% between 2016 and 2020. While the imports are still highly concentrated, with the HHI equal to 3120 in 2020, this is a significant achievement. A large part of this diversification effort is the dramatic increase in the share of liquified natural gas (i.e., LNG) in its gas imports – in 2020, a fair quarter of the EU gas imports came in the form of LNG. An expanded capacity for LNG liquefaction and better fungibility of LNG would facilitate backup opportunities in the case of Russian gas supply risks and improve the diversification of the EU gas imports, thereby increasing the security of natural gas supply.

However, the above developments also have certain disadvantages, which became especially prominent during the ongoing gas crisis. For example, the fungibility of LNG has a reverse side: LNG supplies respond to variations in gas market prices across the world. This change has intensified the competition on the demand side – Europe and Asia might now compete for the same LNG. This is likely to make a secure supply of LNG – e.g., as a backup in the case of a gas supply default or as a diversification device – a costly option.

In turn, new mechanisms of gas price formation in Europe included decoupling the oil and gas prices and changing the format of long-term gas contracts. The percentage of oil-linked contracts in gas imports to the EU dropped from 47% in 2016 to 26% in 2020. In particular, 87% of Gazprom’s long-term contracts in 2020 were linked to spot and forward gas prices and only around 13% to oil prices (Komlev, 2021). This gas-on-gas linking may have contributed to the current gas crisis: Indeed, it undermined the economic incentives of Gazprom to supply more gas to the EU spot market in the current high-price market. Shipping more gas would lower spot prices and prices of hub-linked longer-term contracts for Gazprom. In that sense, the ongoing decline in Russian gas supplies to the EU may reflect not (only) geopolitical considerations but economic optimization.

Similarly, this new mechanism also finds reflection in the ongoing situation with the EU gas storage. The current EU storage capacity is 117 bcm, or almost 20% of its yearly consumption, and thus, can in principle be effective in managing the short-term volume and price shocks. However, the current gas crisis has shown that this option might be far from sufficient in the case of a gas shortage (see, e.g., Zachmann et al., 2021).  One of the reasons for this insufficiency can be Gazprom controlling a sizable share of this storage capacity (see https://www.europarl.europa.eu/doceo/document/E-9-2021-004781_EN.html). For example, Gazprom owns (directly and indirectly) almost one-third of all gas storage in Germany, Austria, and the Netherlands.  Combining this storage market position with a long-term gas contract structure may also lead to strategic behavior for economic (on top of potential political) purposes.

Last but not least, the EU gas market is likely to be characterized by increased demand due to the green transition agenda (see Olofsgård and Strömberg, 2022). Being the least carbon-intensive fossil fuel, natural gas has an important role in facilitating green transition and increasing the electrification of the economy. For example, Le Coq et al. (2018) argues that gas capacity should be around 3 to 4 times the current capacity by 2050 for full electrification of transport and heating in France, Germany, or the Netherlands. In such circumstances, the EU is not likely to have the luxury to diminish reliance on Russian gas.

Conclusions and Policy Implications

Keeping the above discussion in mind, should the EU try to diminish its dependence on Russian gas to improve its energy security? This may be true in theory, but in practice, this might be too costly, at least in the short-to-medium run.

The current situation on the EU gas market suggests that simply cutting gas imports from Russia is likely to lead to high prices both in the energy sector and, later, in other sectors of the economy due to spillovers. Substituting gas imports from Russia with gas from other sources, such as LNG, is likely to be very costly and not necessarily very reliable. Alternative measures, e.g., improving interconnections between the EU Member States or controlling transit issues via the use of reverse flow technology, are effective but have limited impact. Simply cutting down gas demand is not a viable strategy. Indeed, with the EU pushing for a green transition and the electrification of the economy, the EU’s gas imports may have to increase. Russian gas may play an important role in this process.

As a result, we believe that the solution to keep the security issue of Russian gas supply at bay lies in the area of common energy policy. It is essential that the EU implements and effectively manages a coordinated approach in dealing with Russian gas supplies. The EU is the largest buyer of Russian gas, and given Russian dependency on hydrocarbon exports, such a synchronized approach would give the EU the possibility to exploit its “large buyer” power. While the asymmetry in exposure to Russian gas supply risks among the EU Member States is still sizable, the improvements in the functioning of the internal gas market and gas transportation within the EU make their preferences more aligned, and a common policy vector more feasible. Furthermore, recent EU initiatives on creating “strategic gas reserves” by making the Member States share their gas storage with one another would further facilitate such coordination. Implementing the “speaking in one voice” gas import policy will allow the EU to fully utilize its bargaining power vis-à-vis Gazprom and spread the benefits of new gas routes from Russia – such as Nord Stream 2 – across its Member States.

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.

Environmental Policy in Eastern Europe | SITE Development Day 2021

20210517 Carbon Tax Regressivity FREE Network Image 06

The need for urgent climate action and energy transformation away from fossil fuels is widely acknowledged. Yet, current country plans for emission reductions do not reach the requirements to contain global warming under 2°C. What is worse, there is even reasonable doubt about the commitment to said plans given recent history and existing future investment plans into fossil fuel extraction and infrastructure development.  This policy brief shortly summarizes the presentations and discussions at the SITE Development Day Conference, held on December 8, 2021, focusing on climate change policies and the challenge of a green energy transition in Eastern Europe.

Climate Policy in Russia

The first section of the conference was devoted to environmental policy in Russia. As Russia is one of the largest exporters of fossil fuel in the world, its policies carry particular importance in the context of global warming.

The head of climate and green energy at the Center for Strategic Research in Moscow, Irina Pominova, gave an account of Russia’s current situation and trends. Similar to all former Soviet Union countries, as seen in Figure 1, Russia had a sharp decrease in greenhouse gas emissions (hereinafter referred to as GHG emissions) during the early 90s due to the dramatic drop in production following the collapse of the Soviet Union. Since then, the level has stabilized, and today Russia contributes to about 5% of the total GHG emissions globally. The primary source of GHG emissions in Russia comes from the energy sector, mainly natural gas but also oil and coal. The abundance of fossil fuels has also hampered investments in renewable resources, constituting only about 3% of the energy balance, compared to the global average of 10%

Figure 1. Annual greenhouse gas emissions per capita

Note: Greenhouse gas emissions are expressed in metric tons of CO2 equivalents. Source: Emissions Database for Global Atmospheric Research (EDGAR).

Pominova noted that it is a massive challenge for the country to reach global energy transformation targets since the energy sector accounts for over 20% of national GDP and 28% of the federal budget. Yet, on a positive note, the number of enacted climate policies has accelerated since Russia signed the Paris Agreement in 2019. One notable example is the federal law on the limitation of GHG emissions. This law will be enforced from the end of 2021 and will impose reporting requirements for the country’s largest emitters. The country’s current national climate target for 2030 is to decrease GHG emissions by 30% compared to the 1990 level. As shown in Figure 1, this would imply roughly a 10 percent reduction from today’s levels given the substantial drop in emissions in the 1990’s.

Natalya Volchkova, Policy Director at CEFIR in Moscow, discussed energy intensity and the vital role it fills in Russia’s environmental transition. Energy intensity measures an economy’s energy efficiency and is defined as units of energy per unit of GDP produced. Volchkova emphasized that to facilitate growth in an environmentally sustainable way it is key to invest in technology that improves energy efficiency. Several regulatory policy tools are in place to promote such improvements like bottom-line energy efficiency requirements, sectoral regulation, and bans on energy-inefficient technologies. Yet, more is needed, and a system for codification and certification of the most environmentally friendly technologies is among further reforms under consideration.

As a Senior Program Manager at SIDA, Jan Johansson provided insights on this issue from an international perspective. Johansson gave an overview of SIDA’s cooperation with Russia in supporting and promoting environmental and climate policies in the country. The main financial vehicle of Swedish support to Russia with respect to environmental policy has been a multilateral trust fund established in 2002 under the European Union (EU) Northern Dimension Environmental Partnership (NDEP). One of the primary objectives of the cooperation has been to improve the environment in the Baltic and Barents Seas Region of the Northern Dimension Area. Over 30 NDEP projects in Russia and Belarus have been approved for financing so far. Seventeen of those have been completed, and the vast majority have focused on improving the wastewater treatment sector.

Johansson also shed light on the differences that can exist between governments in their approach to environmental policy. For example, in the area of solid waste management, Russia prefers large-scale solutions such as landfills and ample sorting facilities. In Sweden and Western Europe, governments have a more holistic view founded on spreading awareness in the population, recycling, corporate responsibility, and sorting at the source.

Environmental Transition in Eastern Europe

In the second part of the conference environmental policies and energy transformation in several other countries in the region were discussed.

Norberto Pignatti, Associate Professor and Centre Director at ISET Policy Institute, talked about the potential for a sustainable energy sector and current environmental challenges in Georgia. The country is endowed with an abundance of rivers and sun exposure, making it a well-suited environment for establishing the production of renewable energy such as wind, solar, and hydro. As much as 95 % of domestic energy production comes from renewable sources. Yet, domestic energy production only accounts for 21% of the country’s total consumption, and 58% of imported energy comes from natural gas and 33% from coal. Furthermore, the capacity of renewable energy sources has declined over the last ten years, and particularly so for biofuel due to the mismanagement of forests. A notable obstacle Georgia faces in its environmental transition is attracting investors. Low transparency and inclusiveness from the government in discussions about environmental policy, along with inaccurate information from the media, has led to a low public willingness to pay for such projects. Apart from measures to overcome the challenges mentioned, the government is currently working on a plan to impose emission targets on specific sectors, invest in energy efficiency and infrastructure, and support the development of the renewable energy sector.

Like Georgia, Poland is a country where energy consumption is heavily reliant on imports and where coal, oil, and gas stand for most of the energy supply. On top of that, Poland faces significant challenges with air quality and smog and a carbon-intensive energy sector. On the positive end, Poland established a government-industry collaboration in September 2021, that recognizes offshore wind as the primary strategic direction of the energy transition in Poland. Pawel Wróbel, Founder and Managing Director of BalticWind.EU, explained that the impact of the partnership will be huge in terms of not only energy security but also job creation and smog mitigation. The plan implies the installation of 5.9 GW of offshore wind capacity by 2030 and 11GW by 2040. Wróbel also talked about the EU’s European Green Deal and its instrumental role in accelerating the energy transition in Poland. By combining EU-wide instruments with tailor-made approaches for each of the member states, the Deal targets a 55% reduction in GHG emissions by 2030 through decarbonization, energy efficiency, and expanding renewable energy generation. Michal Myck, Director of CenEA, highlighted the role of social acceptance in accelerating the much-needed energy transition in Poland. In particular, to build political support, there is a crucial need for designing carbon taxes in a way that ensures the protection of vulnerable households from high energy prices.

Adapting to the European Green Deal will also create challenges for countries outside of the EU, especially if a European Carbon Border Adjustment Mechanisms (CBAM) is put in place in 2026 as suggested. Two participants touched on this topic in the context of Belarus and Ukraine respectively. Yauheniya Shershunovic, researcher at BEROC, talked about her research on the economic implications of CBAM in Belarus. It is estimated that the introduction of CBAM can be equivalent to an additional import duty on Belarusian goods equal to 3.4-3.8% for inorganic chemicals and fertilizers, 6.7-13.7% for metals, and 6.5-6.6% for mineral products. Maxim Fedoseenko, Head of Strategic Projects at KSE, shared similar estimations for Ukraine, suggesting that the implementation of CBAM will lead to an annual loss of €396 million for Ukrainian businesses and a decrease in national GDP of 0.08% per year.

An example of Swedish support to strengthen environmental policies in Eastern Europe was presented by Bernardas Padegimas, Team Leader at the Environmental Policy and Strategy Team at the Stockholm Environment Institute. The BiH ESAP 2030+ project is supporting Bosnia and Herzegovina in preparing their environmental strategy. This task is made more challenging by the country’s unique political structure with two to some extent politically autonomous entities (and a district jointly administered by the two), and elites from the three different major ethnic groups having guaranteed a share of power. The project therefore aims to include a broad range of stakeholders in the process, organized into seven different working groups with 659 members on topics ranging from waste management to air quality, climate change and energy. The project also builds capacity in targeted government authorities, raises public awareness of environmental problems, and goes beyond just environmental objectives: mainstreaming gender equality, social equity and poverty reduction. The project is 80 percent finished and will produce a strategy and action plan for the different levels of governance in the country’s political system.  There is also a hope that this process can serve as a model for consensus building around important but at times contentious policy issues more generally in the country.

Public Opinion and Energy Security

Finally, Elena Paltseva, Associate Professor at SITE, and Chloé le Coq, Professor at the University of Paris II Panthéon-Asses (CRED), shared two joint studies relating to the green transition in Europe.

Recent research shows that individual behavioral change has a vital role to play in the fight against climate change, both directly and indirectly through changes in societal attitudes and policies motivated by role models. A precondition for this to happen is a broad public recognition of anthropogenic climate change and its consequences for the environment. The first presentation by Paltseva and Le Coq focused on public perceptions about climate change in Europe (see this FREE policy brief for a detailed account). Using survey data the study explores variation in climate risk perceptions between Western Europe, the non-EU part of Eastern Europe, and Eastern European countries that are EU members. The results show that those living in non-EU Eastern European countries are on average less concerned about climate change. The regional difference can partly be explained by low salience and informativeness of environmental issues in the public discourse in these countries. To support this explanation, they study the impact of extreme weather events on opinions on climate change with the rationale that people who are more aware of climate change risks are less likely to adjust their opinion after experiencing an extreme weather event. They find that the effect of extreme weather events is higher in countries with less independent media and fewer climate-related legislative efforts, suggesting that the political salience of the environment and the credibility of public messages affects individuals’ perceptions of climate change risks.

The second presentation concerned energy security in the EU, and the impact of the environmental transition. It was argued that natural gas will play an important role in Europe’s green transition for two reasons. First, since the transition implies a higher reliance on intermittent renewable energy sources, there will be an increased need for use of gas-fired power plants to strengthen the supply reliability. Second, the electrification of the economy along with the phasing out of coal, oil, and nuclear generation plants will increase the energy demand. Today, about 20% of EU’s electricity comes from natural gas and 90% of that gas comes from outside EU, with 43% coming from Russia. To emphasize what issues can arise when the EU relies heavily on external suppliers, the presentation discussed a Risky External Energy Supply Index (Le Coq and Paltseva, 2009) that considers the short-term impact of energy supply disruptions. This index assesses not only the importance of the energy type used by a country but also access to different energy suppliers (risk diversification). The index illustrates that natural gas is riskier than oil or coal since natural gas importers in the EU depend to a greater extent on a single or few suppliers. Another crucial component of the security of gas supplies arises from the fact that 77% of EU’s net gas imports arrive through pipelines, which creates an additional risk of transit. Here, the introduction of new gas transit routes (from already existing suppliers) may increase diversification and decrease risks to the countries having direct access to the new route. At the same time, countries that share other pipelines with countries that now have direct access may lose bargaining power vis-à-vis the gas supplier in question, as demand through those pipelines could fall. Le Coq illustrated this point applying the Transit Risk Index developed in Le Coq and Paltseva (2012) to the introduction of the North Stream 1 pipeline. She concluded that the green transition and associated increase in demand for natural gas is likely to be associated with higher reliance on large gas producers, such as Russia, and resulting in energy security risks and imbalance in the EU. One way to counteract this effect is to exercise EU’s buyer power vis-a-vis Russia within the EU common energy policy. While long discussed, this policy has not been fully implemented so far.

Concluding Remarks

This year’s SITE Development Day conference gave us an opportunity to highlight yet another key issue, not only for Eastern Europe, but for the whole world: global warming and energy transformation. Experts from across the region, and policymakers and scholars based in Sweden, offered their perspectives on the challenges that lie ahead, but also highlighted initiatives and investments hopefully leading the way towards a brighter future.

List of Participants

  • Chloé Le Coq, Professor of Economics at the University of Paris II Panthéon-Assas (CRED). Paris, France. Research Fellow at SITE.
  • Maxim Fedoseenko, Head of Strategic Projects at KSE Institute. Kyiv, Ukraine.
  • Jan Johansson, Senior Program Manager, SIDA. Stockholm, Sweden.
  • Michal Myck, Director of CenEA. Szczecin, Poland.
  • Bernardas Padegimas, Team Leader: Environmental Policy and Strategy, Stockholm Environmental Institute. Stockholm, Sweden.
  • Elena Paltseva, Associate Professor, SITE/SSE/NES. Stockholm, Sweden
  • Norberto Pignatti, Associate Professor of Policy at ISET-PI, and Head of the Energy and Environmental Policy Institute at ISET-PI. Tbisili, Georgia.
  • Irina Pominova, Head of Climatwe and Green Energy at the Center for Strategic Research. Moscow, Russia.
  • Yauheniya Shershunovic, Researcher at BEROC, Minsk, Belarus. PhD Candidate at the Center for Development Research (ZEF). Uni Bonn.
  • Natalya Volchkova, Policy Director at CEFIR, Assistant Professor at the New Economic School (NES). Moscow, Russia.
  • Pawel Wróbel, Founder and Managing Director of BalticWind.EU. Poland.
  • Julius Andersson, Researcher at SITE. Stockholm, Sweden.
  • Anders Olofsgård, Associate Professor and Deputy Director at SITE. Stockholm, Sweden.