Project: FREE policy brief

Russia’s Data Warfare

Posted on April 18, 2023 | Policy Brief

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After Russia’s invasion of Ukraine in February 2022, a broad spectrum of previously publicly available statistics on economic indicators has been removed from the public eye. This reduced transparency affects any analysis of the state of the Russian economy and assessments of the effects of sanctions. The strategy is also part of a larger disinformation campaign that has become an integral part of Russia’s war on Ukraine. In this brief we provide a short overview of the main indicators on economic activity that have been masked in various forms by Russia’s data producing institutions. We also touch upon some alternative strategies, employed to gain a better understanding of the actual state of the Russian economy while official data is unavailable or unreliable.

Following Russia’s war on Ukraine, Russia has ceased to publish large amounts of previously publicly available statistics on economic indicators. This reduced transparency affects any attempts to analyze the Russian economy with regular data and models, and is an integral part of the information war that has followed Russia’s aggression. In particular, it aims to reduce or obscure the analysis of the effects of sanctions that have been imposed on Russia by Ukraine’s partners. The reduced precision of this analysis is then used in various propaganda channels to claim that sanctions are useless and that they are, instead of hurting Russia, harming the EU, the US and other sanctions implementing countries.

In this brief we present a short overview of some of the most important statistics on Russia’s economic performance no longer publicly available (with a detailed list to be found in the Online Appendix). We also discuss some alternative measures to track the Russian economy which can be used to provide more accurate assessments of the effect of sanctions and thus reduce the impact of Russia’s data warfare.

What Data is Being Masked?

Russia’s cessation of statistical publications has occurred across several dimensions including foreign trade, budget, and finance.  Most notably, data has been masked by the Central Bank of the Russian Federation (CBR), the Ministry of Finance of the Russian Federation (Ministry of Finance), the Federal State Statistics Service (Rosstat) and the Federal Customs Service of Russia.

Budget Data

Data on federal and consolidated budgets in Russia was previously easily accessible on the Ministry of Finance’s and Rosstat’s webpages.

The Ministry of Finance has however, as of January 2022, ceased publishing data on budget expenditures. This includes monthly data for a wide range of budget expenditure categories such as spending for public administration, national defense and law enforcement, environmental protection, education, healthcare, social politics, mass media and culture. This data is no longer available despite the webpage for budget expenditures being updated as late as March 17th 2023.

Data on certain budget indicators is also missing on Rosstat’s webpage. While statistics on taxes, fees and other mandatory payments are available for 2022, budget expenditures are available only for 2021. This is however not surprising given that Rosstat receives its figures on the financial sector, including figures on public finances partly from the Ministry of Finance.

Foreign Trade Data

Foreign trade statistics is normally published by the Federal Customs Service of Russia, CBR and Rosstat.

Since the invasion, the Federal Customs Service of Russia has however stopped publishing statistics on foreign trade and commodity structure. The latest available monthly data on Russian foreign trade with its main partners (the EU, Commonwealth of Independent States countries and others), and the commodity structure of exports and imports – including processed goods and oil and gas – is from January 2022 (as of April 3rd 2023).

Foreign trade data from CBR has been withheld throughout 2022. CBR has however recently resumed parts of their publications and, as of April 3rd 2023, monthly data on total export and import is available for all of 2022 as well as for January 2023. Still, these figures display total exports and imports only and are not broken down by trade partner or commodity.

Similar to CBR’s publishing pattern, figures on export and import as part of GDP by use were unavailable on Rosstat’s webpage from February 2022 and throughout the year.  As of April 7th 2023, quarterly aggregated data is however available for all of 2022.  Monthly data on export and import by country is nonetheless still available only for 2021, despite the webpage being updated in November 2022.

Financial Data

To provide information on the national finance system and its dynamics is a main tasks of any country’s central bank, with Russia being no exception. Despite this there are about 40 financial indicators that, since the beginning of 2022, are no longer available on CBR’s webpage (as of April 3rd 2023). This contravenes CBR’s calendar, which states that statistics are supposed to be published in the next reporting period, i.e. the next quarter/month for quarterly and monthly data respectively.

The most deferred data (more than 20 indicators) can be found, or rather can’t be found, in the so-called External Sector Statistics category. For example, monthly data on balance of payments, remittances and financial transactions in the private sector, and international investment position of the banking sector is missing as of January 2022. Similarly, quarterly data on foreign investments, foreign assets and liabilities in the banking sector has been unavailable since January 2022. The same goes for data on external debt of the corporate sector of the Russian Federation in the form of loans, credits and deposits raised as a result of non-resident placement of Eurobonds and other debt securities.

In the so-called Banking Sector Statistics category, data on indicators such as assets, risks, operational data, international reserves and volume of FX operations is no longer available. Furthermore, figures on turnover of the interbank spot and forward markets have also been unavailable since February 2022.

Two comments are due considering the ease of access to above mentioned data/data sources. Firstly, in order to access the CBR’s and the Federal Customs Service of Russia’s webpages, one at times needs make use of a Virtual Private Network (VPN). Secondly, there are, for all sources mentioned, large discrepancies between the Russian language and the English language webpages, with the latter being severely patchier in its information.

Hiding Data: Reasons and Implications

What drives the authorities to mask seemingly relevant figures? Alexandra Prokopenko, an expert on Russian economic policy, argues that Russian authorities mask certain numbers related to the sanctions to impede evaluations of the effect of sanctions (Prokopenko 2023). Making the data less transparent and accessible in order to hide sanctions’ effect across various sectors to try and paint a better picture of the economic activity has also been a Russian policy goals. The head of the Federal Customs Services, Vladimir Bulavin, in April 2022 announced trade statistics were masked partly to “avoid […] speculation and discrepancies in import deliveries” (Uvarchev, 2022).

In this context, it is worth mentioning that Russia is obliged to report to the International Monetary Fund (IMF) on several of the previously discussed indicators since the country is subscribing to the Special Data Dissemination Standard (SDDS) as of 2005. SDDS aims at providing transparent economic and financial data to the public and according to the IMF “Serious and persistent nonobservance of the SDDS, therefore, will be cause for action” (IMF, 2023). If Russia does not publish data according to the SDSS commitments, it could be excluded from the list of countries that subscribe to the SDSS.  This affects how the country is viewed by investors and others and will further increase the risk premia that is applied to dealing with Russia.

Further, in its efforts to restrict insight into how the Russian economy is faring following the sanctions, the authorities have however created a large uncertainty also for Russian domestic markets, adding to the sanction’s effects. For instance, Elvira Nabiullina, Russia’s Central Bank Governor, has been arguing to revoke the decision to classify large amounts of data saying that investors, analysts and researchers simply need the data to do their work properly (CBR News, 2023).

Alternative Ways of Understanding the Real State of the Russian Economy

How can we learn about the state of affairs in Russia without the previously discussed data? While deducing Russia’s budget expenditures and many financial indicators may be cumbersome, more can be done when it comes to trade data. Specifically, a BOFIT Policy Brief by Simola (2022) proxied Russia’s imports and exports by tracking the imports of Russia’s main trading partners (17 economies) between March and June 2022. Similar proxying efforts have been made by Darvas, Martins and McCaffrey (2023), who tracked Russia’s foreign trade by considering detailed trade data from China, the United States, South Korea, Japan, India, the United Kingdom, Turkey and the EU, putting together publicly available datasets which span from January 2019 to January 2023.

Proxying trade data by considering trade partner’s statistics is emphasized by Sonnenfeld et al. (2022), who not only considers such data but rather a wide variety of available and reliable data sources – emphasizing the need to also crosscheck data from official Russian statical sources with more reliable ones (for a full overview of the methodologies used, the estimated indicators on the Russian economy and the implications from this, see Sonnenfeld et al. 2022).

Other efforts to map out Russia’s economic activity consider more creative methods such as using satellite data and/or ship location (AIS) data. Examples of such efforts include a recent Bruegel dataset which tracks Russian crude oil trade (Heusaff et al., 2023) and CREA’s “Russia Fossil Tracker”. For both examples, the authors utilize the location data for individual crude oil tankers, and (for Heusaff et al. 2023) combine it with data from OPEC, BP and Eurostat, to assess monthly crude oil exports from Russia to a set of major destinations (mainly the EU, China and CIS countries).

Similarly, satellite data has been previously used to estimate carbon emissions from flaring (Böttcher et al., 2021). While there is an ongoing debate on whether flaring can be trusted to give insight into gas and oil production (World Bank, 2023), one could potentially make use of such data to get a better view of the productivity within the Russian oil and gas sector following the imposed price cap mechanism and sanctions.

The struggle of creating reliable estimates for an economy polishing or masking information did not arise with the withdrawal of certain Russian statistics. The actual status of the North Korean economy remains much of a mystery to analysts (see The Economist) as the country, in 2017, was yet to publish a Statistical Yearbook. While Russia is far from North Korea in several aspects, the reality is that the alternative measures used to estimate North Korea’s economic activity (such as making use of Chinese trade data etc.) are partly the ones now being undertaken by analysts looking beyond the figures from Kremlin.

Conclusion

Russia’s decision to stop publishing regular economic data is part of the disinformation and propaganda efforts that are integral parts of its war on Ukraine, with the purpose being to complicate any analysis of what is going on in the Russian economy. While being partially successful in this regard, the data withholding likely creates further negative implications for Russia’s external economic relations and undermines the functioning of its domestic markets.

Given the lack of data following Russia’s disinformation efforts it is essential that any analyst concerned with mapping the Russian economy not only considers alternative but also multiple sources and consult experts with a plethora of competencies. Already today, new creative ways of getting hold of relevant data is providing increasing insight into the state of the Russian economy. With continued efforts, these measures will progress over time, improving our understanding of how sanctions affect the Russian economy.

Online Appendix

An overview of all indicators discussed in this brief can be found in the Online Appendix. The information in the Appendix is valid as of April 7th 2023.

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.

Media Coverage and Pandemic Behaviour: Evidence from Sweden

Posted on April 12, 2023 | Policy Brief

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Individual behaviour can often have wider societal consequences and it is important to understand how to affect positive behavioural change. In this policy brief, we document the ability of the media to increase pro-social behaviour during a public health crisis. In Garz and Zhuang (2022), we collect a unique dataset of 200,000 newspaper articles about the Covid-19 pandemic from Sweden – one of the few countries that did not impose mandatory lockdowns or curfews but largely relied on voluntary social distancing. We show that mentions of Covid-19 significantly lowered the number of visits to workplaces and retail and recreation areas, while increasing the duration of stays in residential locations. The impacts are largest when Covid-19 news stories were more locally relevant, more visible and contained simple and explicit public health advice. These results have wider implications for the design of public communications and the value of the local news media.

The Covid-19 pandemic had devastating health and economic consequences for the entire world (see, for instance, the COVID19 | FREE Network Project for more information on the pandemic experience of the FREE network countries). To stop the spread of the virus, many governments imposed curfews or lockdowns. These mandatory restrictions on people’s movements were and remain controversial. In several countries, these public health policies fuelled conspiracy theories and led to protests and refusals to adopt other protective measures, such as wearing face masks. The policies have also been criticised for placing the burden disproportionately on the poorest members of society, many of whom lost their livelihoods due to the restrictions.

Sweden is one of few countries in the world that did not to impose any lockdowns or curfews. Instead, the Swedish strategy relied on voluntary compliance with public health recommendations aimed at reducing mobility and encouraging social distancing (for FREE policy briefs featuring in-depth discussions of the Swedish pandemic response and experience, see Becker et al., 2020; Hauser, 2020a; Hauser, 2020b; Campa, Roine and Strömberg, 2021; Berlin, 2020.) This strategy was by and large effective, with Sweden seeing similar falls in average mobility in 2020 compared to its Scandinavian neighbours which however imposed strict lockdowns.

What are the drivers of voluntary compliance? A recent SITE working paper “Media Coverage and Pandemic Behaviour: Evidence from Sweden” by Marcel Garz (Jönköping University) and Maiting Zhuang (SITE, Stockholm School of Economics) sheds light on this question. We show that news coverage of the pandemic could have played an important role in shaping public opinion, social norms and ultimately individuals’ health-related actions in Sweden. In this brief, we summarise our approach and findings, and discuss important policy insights.

Data

We collect close to 200,000 newspaper articles about Covid-19 from Swedish newspapers during 2020, which represents almost all newspaper coverage of the pandemic during that year in Sweden. Newspapers remain a major source of information in Sweden, where close to two thirds of the population are regular newspaper readers. We analyse the full texts of articles to identify which aspects of news coverage have the largest impact on behaviour. Figure 1 shows Covid-19 coverage in Swedish newspapers in 2020.

Figure 1. Newspaper coverage of Covid-19

Source: Retriever and authors’ calculations. This graph shows the number of articles including “coronavirus* OR covid*” on a given day, weighted by newspaper circulation. The grey solid lines are local polynomial smooths with 95 percent confidence intervals.

As our main outcome variable, we use Google Community Mobility Report data – anonymous data on the number (or duration) of visits to different types of locations (such as retail and recreation, workplaces, or residential) within a municipality.

Figure 2. Workplace and residential mobility

Source: Google and authors’ calculations. These graphs show the daily percentage change in mobility compared to median values between January 3 to February 6, 2020. The grey solid lines are local polynomial smooths with 95 percent confidence intervals.

Method

We want to study whether reading news concerning Covid-19 affected people’s decisions to reduce their own mobility in Sweden. However, determining the effect of the media on behaviour is difficult for several reasons. First, people choose what media to consume and most often tend towards media outlets that confirm their existing views. Second, there could be factors that determine both media coverage and behaviour.

In our paper, we address the first concern by carefully choosing our data. If we found that people who read more about Covid-19 in newspapers are also more likely to reduce their mobility, this could be driven by many different individual factors, such as how worried a person is about the pandemic. Instead, we measure exposure to Covid-19 news using data on the number of subscriptions every newspaper sells in each municipality. As newspaper subscriptions are annual and were decided before the pandemic, this measure of Covid-19 news exposure should not be correlated with individuals’ beliefs about the pandemic.

The second concern is more relevant, as it is likely that media coverage and individual mobility are both driven by the spread of the pandemic. To alleviate this concern, we adopt several strategies. The first is that we take into account local pandemic severity using a range of different measures, including excess deaths, infections, Covid-19 deaths at different geographic units and with different time lags.

Our second strategy relies on the fact that Swedish newspapers typically circulate in multiple municipalities, but are more likely to respond to events in municipalities where more of their subscribers live. We use an instrumental variable (IV) approach where we use the circulation-weighted excess mortality in a newspaper’s distribution area as the IV. This IV is a strong predictor for the amount of Covid-19 coverage by that newspaper but should not affect mobility in a target municipality – conditional   on the pandemic severity in the municipality itself. We also show that our results hold in a sample of “peripheral” municipalities, that is municipalities that only form a small percentage of any newspaper’s subscriber base, but where these newspapers are nonetheless major sources of information.

Results

We find evidence that media coverage of the pandemic increases compliance with the main public health recommendation to work from home in Sweden. More newspaper articles about Covid-19 on a given day and in a given municipality is associated with increased residential mobility and lower workplace mobility (Table 1), as well as fewer visits to retail areas and recreational facilities. This pattern remains even when controlling for the severity of the pandemic at the local level. The results are robust using different methods and data.

Table 1. Effect of Covid-19 coverage on workplace and residential mobility

Source: Retriever, Google, SMHI, MPRT and authors’ calculations. Observations are at the municipality-day level. The dependent variables are percentage changes in Google mobility for workplaces (columns 1 and 3) and residential areas (columns 2 and 4) relative to the baseline. The main regressor is the circulation-weighted number of Covid-19 articles. Columns 3 and 4 show IV results using the interaction between weighted excess deaths across a newspaper’s circulation area and newspaper exposure as the IV. Local pandemic severity is the latest available excess deaths figure in the municipality at the time of newspaper publication. All regressions control for municipality and day fixed effects. Standard errors in parentheses are clustered by municipality. Significance at the 1%, 5% and 10% is denoted by ***, ** and *, respectively.

The type of coverage matters. Behaviour responds the most to personally relevant news that is easy to understand and visible. In particular, Covid-19 articles which explicitly mention the affected municipality have a larger impact on mobility than, for instance, articles that only relate to developments abroad. There are larger impacts of more factual compared to more subjective reporting. Articles that contain direct and explicit public health advice have a large impact on individual behaviour. In contrast, articles that mention medical experts have a smaller impact on individual behaviour – likely due to the complexity of the language used.

We also find a greater impact on individual behaviour in response to more visible Covid-19 stories, such as articles on the front page or articles whose headlines mention the pandemic. These results are consistent with media coverage not just increasing the salience of the pandemic and reminding individuals to follow official guidelines, but also providing relevant information. Despite fears that the large amount of press coverage could lead to individuals avoiding news about the pandemic, we find little evidence for media fatigue except at very high levels of coverage.

Conclusion

In Garz and Zhuang (2022), we study the effects of media coverage on individual behaviour during a public health crisis. We focus on Sweden, a country that did not impose any lockdowns or curfews during the Covid-19 pandemic and where newspapers remain an important source of information. Using close to the universe of all Swedish newspaper articles about Covid-19 in 2020, we find that media coverage of the pandemic encouraged people to stay at home. The effect is largest when news stories are of local relevance and contain explicit public health advice. These results have important implications for the design of future public communication strategies that aim to foster behavioural change.

We also find little evidence of media fatigue or a preference of opinion pieces relative to factual reporting when it comes to Covid-19 in Sweden. While there has been much discussion about misinformation and media bias during the pandemic, our paper shows a positive effect of the local news media in terms of encouraging voluntary adherence to public health measures.

More broadly, our study adds an important dimension to the policy discussion about the decline of local news, beyond local political accountability and community participation. We find that local news remains an important source of local information, and that personally relevant information is more important for behavioural change. A lack of trusted local media could adversely affect compliance with government recommendations during a crisis, as well as a range of other campaigns, such as those encouraging the take-up of vaccines or adoption of more environmentally friendly behaviours.

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.

Back from the Ashes: Swedish and Global Contribution to Ukraine’s Reconstruction

Posted on April 5, 2023 | News, Policy Brief

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What role should Sweden and the EU have when it is time to rebuild Ukraine with development aid and other means? SITE’s researchers Anders Olofsgård and Maria Perrotta Berlin have written a report “Back from the ashes: Swedish and global contribution to Ukraine’s reconstruction”.

The Russian war of aggression against Ukraine is an example of a situation where development aid, alongside military support not defined as aid, takes on many roles. In addition to humanitarian aid, during ongoing warfare, development aid has a role in helping to maintain social functions and restore vital infrastructure.

In a future post-conflict situation, there is a shift in role from humanitarian aid to more development aid in order to rebuild what the Russian attack has destroyed. Reconstruction needs to go far beyond physical infrastructure. The needs are also far greater than what development aid alone can finance. Although development aid and other public funds will play a major role in the early stages, private capital is necessary for long-term reconstruction.

Full Report (in Swedish)

The EBA report estimates the current cost of the war and presents key lessons from previous international reconstruction efforts. The main emphasis is on the future global support to Ukraine, in terms of content, financing needs and organization, and what this means for Swedish aid.

EBA report: “Back from the ashes: Swedish and global contribution to Ukraine’s reconstruction“.

About EBA

The Expert Group for Aid Studies (EBA) is a government committee mandated to evaluate and analyse the direction, governance and implementation of Sweden’s official development assistance, with a specific focus on results and effectiveness. EBA’s aim is to contribute to the efficient implementation of well-designed aid, focusing primarily on overarching issues within Swedish development assistance rather than individual projects. EBA consists of an Expert Group of ten members and a secretariat placed in Stockholm.

Exploring the Impact from the Russian Gas Squeeze on the EU’s Greenhouse Gas Reduction Efforts

Posted on March 14, 2023 | Policy Brief

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Throughout 2022, the reduction in Russian gas imports to the EU and the resilience of European energy markets have been subject of significant public discourse and policy-making. Of particular concern has been the EU’s ability to maintain its environmental goals, as substitution from Russian pipeline gas to liquified natural gas and other fuels such as coal, could result in increased emissions. This brief aims to reevaluate the consequences from the loss of Russian gas and the EU’s response to it on greenhouse gas emissions in the region. Our analysis suggests that the energy crisis did not result in a rise in emissions in 2022. While some of the factors that contributed to this outcome – such as a mild winter – may have been coincidental, the adjustments caused by the 2022 gas squeeze are likely to support rather than jeopardize the EU’s green transition.

Energy markets in Europe experienced a tumultuous 2022, with the Russian squeeze on natural gas exported to the region bringing a major shock to its energy supply. Much attention has been devoted to the effects of the succeeding spiking and highly fluctuating energy prices on households’ budget and on the production sector, with numerous policy initiatives aimed at mitigating these effects (see, e.g.,  Reuters or Sgaravatti et al., 2021). Another widely discussed concern has revolved the consequences of the gas crisis – such as switching to coal – on the EU’s climate policy objectives (see e.g. Bloomberg or Financial Times). In this brief, we analyze and discuss to what extent this concern turned out to be valid, now that 2022 has come to an end.

We consider greenhouse gas (GHG) emissions stemming from the main strategies that allowed the EU to weather the gas crisis throughout 2022 – namely the substitution from Russian gas to other energy sources. These strategies include increased imports of liquified natural gas (LNG), a lower gas demand, and an increased reliance on coal, oil, and other energy sources. We also discuss the implications of the crisis for climate mitigation in the EU and try to draw lessons for the future.

Substitution to LNG and Pipeline Gas from Other Suppliers

Prior to 2022, Russian natural gas largely reached Europe by pipeline (92.4 percent in 2021 according to Eurostat). More than half of these pipeline imports, 86 billion cubic meters (bcm), were lost during the 2022 Russian gas supply squeeze, predominantly through the shut-down of both the Yamal and the Nordstream pipelines. 57 percent of this “missing” supply was met through an increase in LNG imports from several countries, the largest contributor being the U.S. Another 27 percent of the “missing Russian gas” was substituted by an increase in pipeline gas imports from other suppliers, with the UK (20 percent) and Norway (7 percent) taking the lead.  A substantial part of the replaced gas was stored, rather than combusted. With this in mind, here we concentrate on the upstream emissions associated with this change – i.e., emissions that occurred during the extraction, processing, and transportation. The change in the combustion emissions is postponed to the next section.

There is an ongoing debate in the literature on whether the greenhouse gas pollution intensity of LNG is higher or lower than that of gas delivered through pipelines – prior to final use. In comparison to pipeline gas, LNG is associated with emissions resulting from energy-intensive liquefaction and regassification processes in upstream operations as well as with fuel combustion from transportation on ocean tankers. For both LNG and pipeline gas it is also crucial to consider fugitive methane emissions, as methane has up to 87 times greater global warming potential than carbon dioxide in the first 20 years after emission, and up to 36 times greater in the first 100 years. One source of methane emissions is leaks from the natural gas industry (both “intentional” and accidental) since methane is the primary component of natural gas. Both LNG and pipeline gas infrastructure are subject to such leaks, and the size and frequency of these leaks during transportation varies greatly depending on the technologies used, age of infrastructure, etc. Further, the risk of these leaks may also be different depending on the technology of gas extraction.

Currently there is limited knowledge about the size of greenhouse gas emissions, including methane emissions resulting from leaks, from specific gas projects. Until recently, most estimates were based partially on self-reported data and partially on “emission factors” data. Modern and more reliable methods, for instance satellite-based measures for methane emissions, suggest that the resulting figures are greatly underestimated (see, e.g., Stern, 2022; IEA; ESA) but the coverage of these new estimates is currently limited.

As a result, there is considerable disagreement in the literature on the emissions arising from Russian pipeline gas imports vs. LNG imports to the EU. For example, Rystad (2022) argues that the average LNG imports to Europe have a CO2 emission intensity that is more than 2.5 times higher than that from pipeline gas from Russia (although they do not explicitly state whether these figures include fugitive methane emissions). On the contrary, Roman-White et al. (2019) suggest that the life-cycle GHG emission intensity of EU LNG imports (from New Orleans) is lower than EU gas imports from Russia (via the Yamal pipeline).

For the purposes of this exercise, we choose to rely on middle-ground estimates by DBI and Sphera, which assess GHG emission intensity along different Russian gas import routes (DBI, 2016) and across different LNG suppliers to the EU (Thinkstep –  Sphera, 2020). This allows us to account for substantial heterogeneity across routes.

We also account for the change in upstream emissions associated with the switch from imports of pipeline Russian gas to pipeline gas imports from Norway and the UK. For this, we approximate the GHG emission intensity of the new flows using the estimate suggested by Thinkstep –  Sphera (2017).

The results of our assessment are presented in the top three rows of Table 1. They suggest that a substitution from Russian gas imports to LNG imports and pipeline imports from other sources resulted in an increase in upstream GHG emissions by approximately 14 million tons (Mt) of CO2eq. Details on calculations and assumptions are found in the online Appendix.

Table 1. Change in EU GHG emissions resulting from Russian gas squeeze.

Source: Authors’ own calculations based on DBI (2016), McWilliams et al. (2023), Sphera (2017; 2020), and IEA (2022). See the online Appendix for more details on assumptions, calculations, and sources. Note: Billion cubic meters (bcm) and terawatt-hours (TWh).

The Decline in Gas Demand and the Switch to Other Fuels

A decrease in gas use in the EU constituted another response to the Russian gas squeeze. Gas demand in the EU is estimated to have declined by 10 percent (50 bcm or 500 TWh) in 2022 with respect to 2021 (IEA, 2022). Part of this decline was facilitated by switching from gas to other polluting fuels, such as oil and coal. The extent to which switching occurred however differed across the three main uses of gas; power generation, industrial production, and residential and commercial use. Below we discuss them separately.

Power Generation

At the onset of the 2022 energy crisis, a prevalent expectation was that there would be significant gas-to-coal switching in power generation. However, gas demand for power generation, which accounts for 31.4 percent of the gas demand from EU countries (European Council), increased by only 0.8 percent in 2022 (EMBER, 2022, p.29), implying that there was no direct substitution from gas-fired to coal-fired generation.

One of the reasons to why there was no major switching to coal in spite of the increase in gas prices is that CO2 emissions are priced in the Emissions Trading System (ETS) program, and the average carbon price has been growing recently, reaching an average of around €80/ton in 2022.  Given that coal has a higher emission intensity than gas, the carbon price increases the relative cost of coal versus gas for power generators.

Instead, the decline in demand came from industry, residential and commercial use, which together account for nearly 57 percent of the EU’s gas demand (European Council).

Industry Use

For the industry, IEA calculations (2022) suggest a demand drop of 25 bcm, which would correspond to approximately 50 Mt CO2eq. However, half of the industrial gas reduction came from gas to oil switching. Based on our estimates, this switch implies an additional 41 Mt CO2eq emissions, considering both upstream emissions and emissions from use in furnaces (assuming this to be the prevalent use of the oil that substituted gas, see McWilliams et al., 2023). The remaining half of the industrial demand decline resulted from energy-efficiency improvements, lower output, and import of gas-intensive inputs where possible (ibid.). These changes are either neutral in terms of life-cycle emission impact (import increases) or emission-reducing (efficiency improvements and lower output).

Residential and Commercial Use

Residential and commercial use represented the remaining part of the 500 TWh gas demand decline. In this case, lower gas demand is unlikely to imply massive fuel switching to other fossil fuels, simply because of the lack of short-term alternatives. For example, European households use gas mostly for space heating and cooking, and albeit both higher use of coal for home-heating (BBC) and a surge in installations of heat pumps (Bruegel, 2023 and EMBER, 2023) have been reported, the net change in emissions resulting from these two opposite developments is likely relatively minor as compared to other considered sizeable changes.

The Rise of Coal

As observed, there was no direct switch from gas to coal in European power generation. However, coal generation in the EU did increase by 6 percent in 2023 (IEA, 2022), to help close the gap in electricity supply created by the temporary shut-down of nuclear plants in France and the reduced performance of hydro. In our calculations we assume that in a counterfactual world with no Russian gas squeeze, gas-fired electricity would have covered most of the gap that was instead covered by coal. Therefore, we estimate that, as an indirect result of the Russian gas squeeze in 2022, CO2eq emissions increased by 27 Mt, specifically because of the ramp-up in coal generation (see the second section in Table 1).

Gas Shortage and the EU’s Climate Objectives

In recent years, the EU has made substantial progress in climate change mitigation. Despite widely expressed concerns, it achieved its 2020 targets – reducing emission by 20 percent by 2020, from the 1990 level. However, its current target of a 55 percent net GHG emission reduction by 2030, requires average yearly cuts of 134 Mt CO2eq, from the 2021 level. This is an ambitious target: while the emission cut between 2018 and 2019 exceeded this level, the average yearly cut between 2018 and 2021 however fell short (Eurostat).

The question is if the Russian gas squeeze can significantly undermine the EU’s ability to achieve these climate goals?

First, based on our assessment above, the changes prompted by the Russian squeeze – namely a move from pipeline-gas to LNG, a decline in gas demand and an increase in coal and oil use – made 2022 emissions decline by 18 Mt CO2eq. This suggests that the energy shock prompted overall emission-reducing adjustments in the short run. One important question that arises from this is therefore how permanent these adjustments are.

The increased reliance on LNG (and other gas suppliers) is likely to be permanent as a return to imports from Russia is hardly imaginable and as the 2022 surge in LNG imports entailed significant investments and contractual obligations. According to our estimates, overall, this shift is going to cause a relatively modest increase in yearly CO2eq emissions, approximately 10 percent of the needed emission reduction outlined above. Moreover, this is accounting for emissions throughout the EU’s entire supply chain – which is increasingly advocated for, but not currently applied in the typical emission accounting. It is, of course, important to make sure that ongoing LNG investments do not result in “carbon lock-ins”, postponing the green transition.

The decline in gas demand is a welcome development for climate mitigation if it is permanent. Part of the decline, from improved energy efficiency or installation of heat pumps, is indeed permanent. However, European households also responded temporarily (to warmer than usual winter and high gas prices (for instance by reducing their thermostats). Their behavior in the near future will therefore depend on the development of both these variables.

Overall, our assessment is that the Russian gas squeeze did force some adjustments in demand that might translate into a permanent decline in greenhouse gas emissions.

The question however remains of how the shortage of gas can be met in a scenario with higher gas demand due to, for instance, colder winters. In terms of climate objectives, it is of paramount importance that coal-powered generation does not increase (which would happen if, for instance, the price of gas continues to raise due to shortages). In this sense some lessons can be learned from the response to the shortage in electricity supply following the exceptional under-performance of nuclear and hydro in 2022. Wind and solar, which provide the lowest-cost source of new electricity production, in combination with declines in electricity demand, were able to cover 5/6 of the 2022 shortage created by the nuclear and hydro shock (EMBER, 2023), thus relegating coal to a residual contribution. We expect this pattern to emerge also in the future in the presence of other crises. However, we also caution that the lower production of electricity was at least partially caused by the dramatic heatwaves and droughts experienced throughout the summer in Europe. These events are likely to happen more often in the face of climate change. European policy-makers should therefore carefully assess the capacity of the EU energy system to address potentially multiple and frequent shocks with minimal to no-reliance on coal, in a scenario where also reliance on gas needs to be in constant decline given the Russian gas squeeze and unreliability.

Finally, the dramatic circumstances of 2022 led the EU to adopt the REPowerEU plan, which outlines financial and legal measures to, among other things, speed up the development of renewable energy projects and induce energy-saving behavior.

The outlined observations lead us to conclude that the Russian gas squeeze is ultimately unlikely to sizably reduce the chances of the EU reaching its climate goals, suggesting that the 2022 concerns in this regard were somewhat exaggerated. Nonetheless, learning from the costly lessons of the 2022 energy crisis is crucial for efficient policy making in the future.

References

Online Appendix

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 Drives Belarus to Be One of the Most Optimistic Nations in Europe?

Posted on March 6, 2023 | Policy Brief

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War in Ukraine, imposed sanctions on Belarus and the worst yearly GDP drop since the 1990s. Despite these challenges, Belarusian households were the third most optimistic in Europe in late 2022, following Lithuania and Montenegro. The Belarusian Consumer Confidence Index, calculated on the basis of four household surveys conducted in Belarus by BEROC’s Belarus Monitoring Project in 2021 and 2022, shows surprising resilience among Belarusians – especially in Q3 and Q4, 2022.  This brief shortly describes the components of the index and their evolution and discusses what factors might have been driving this high index. The brief argues the found optimism among Belarusians could have been driven by a state-owned media influence and by the Belarusian economy performing better than expected.

Optimism Without Grounds?

In 2022, Belarus experienced a 4.7 percent yearly GDP drop, the worst since the 1990s. The main reasons behind the decline is the Russian war on Ukraine and Belarus’ involvement in it, and, consequently, the severe sanctions imposed on Belarus and its main trade and economic partner: Russia. A surge of exports to Russia to counter the sanctions helped prevent the severity of the drop, although it still remains large. Forecasts for 2023 are also not encouraging. The World Bank expects the Belarusian economy to shrink by 2.3 percent. The European Bank for Reconstruction and Development’s forecast is -1 percent, the International Monetary Fund (IMF)’s is +0.2 percent, and the Eurasian Development Bank’s +0.3 percent, whereas the announced official target is +3.8 percent. In total, the GDP decrease could be as large as -6.9 percent in the two coming years, following the World Bank’s worst prognosis. The question is; Is this a lot?

The last GDP decline occurred in 2020 and amounted to a moderate -0.7 percent, despite the apex of Covid-19 related shutdowns, the decrease in the world economy, and the political crisis following the rigged elections in August. The most recent severe GDP drop happened between 2015 and 2016 with a decline of 3.8 percent in 2015 and 2.5 percent in 2016.

Figure 1. A comparison of GDP changes and the CCI values in Belarus in 2021 and 2022.

Note: Based on Eurostat methodology. Source: Belstat, BEROC.

Surprisingly, the lower the GDP, the higher the consumer confidence, as measured by the Consumer Confidence Index (CCI). For example, the CCI was -18.7 percent in Q4 2021, while the GDP increased by 2.3 percent in 2021. On the contrary, the CCI in Q4 2022 was -15.0 percent, while the GDP dropped by massive -4.7 percent (see Figure 1).

The experience from numerous financial crises in the 2010s may play an important role here by moving the expectation baseline and conclusively undermining confidence in the country’s economic institutions. However, even if this is the case, it would not explain the dynamics of consumer confidence in Belarus in relation to the country’s economic performance. In this brief we dig deeper into the determinants of this seemingly ungrounded consumer optimism.

The Consumer Confidence Index

The Consumer Confidence Index (CCI) used for this brief is based on four household surveys conducted in Belarus by the Belarusian Economic and Outreach Center (BEROC)’s Belarus Monitoring Project. The online surveys were conducted in December 2021, and in April, August and November in 2022. The surveys are representative for the urban population aged 18-64 (approximately 5 million people). They have also been weighted by region, sex and age.

The index is designed to measure consumer confidence from -100 percent to + 100 percent (0 being neutral). Consumer confidence is defined as the degree of optimism regarding the state of the economy which consumers express through their saving and spending patterns.

A few approaches for calculating the index can be used. One of them is the Eurostat methodology, which includes answers to four questions about households previous and expected financial position, the expected economic situation in the country, as well as the propensity to buy durable goods. Another approach is the Rosstat methodology, which, in addition to the Eurostat approach, includes one extra question on the previous economic situation in the country. We considered both methodologies to allow for a comparison of Belarus to countries in Europe as well as to Russia.

Belarus Compared to Russia

The CCI value, applying the Rosstat methodology, was -19.4 percent in Belarus in November 2022 (a 3.6 percentage point growth as compared to August 2022), while the index value in Russia was -22.7 percent (a 0.3 percentage point growth).

It is worth mentioning that there was a sharp drop in Q2 2022 in both countries. However, the index values recovered in Q3 2022 to Q4 2021 values, i.e., to the index values prior to the introduction of large-scale economic sanctions and prior to the war.

The pattern is somewhat similar to that during Covid-19-related restrictions, displaying a sharp drop and then a strong recovery. The magnitude of the drop was however much higher in 2020: 20.3 percent in 2020 compared to 10.3 percent in 2022 for Russia. No data is available for Belarus prior to Q4 2021 but the trajectory was likely similar. Apparently, households in neither country appear be desperate (see Graph 1).

Graph 1. The CCI in Belarus and Russia.

Note: Q1 2022 data not available for Belarus. Source: BEROC, Rosstat.

Belarus Compared to Europe

The Belarusian CCI, when excluding the component of the past state of the economy (i.e. applying the Eurostat methodology), was -15.0 percent in November 2022. This was 3.4 percentage points higher than the value in December 2021 and the third highest value in Europe, following Lithuania (-9.2 percent) and Montenegro (-8.6 percent). Moreover, the index was the highest observed for the entire period of observations by BEROC (from December 2021), as depicted in Graph 2.

Graph 2. The CCI in Belarus and the EU.

Source: BEROC, Eurostat.

The index values of the European Union and the Eurozone have not changed significantly from Q2 2022 and currently stand at -26.3 and -24.9 percent, respectively. Naturally, some countries have faced slight reductions, while others have seen slight increases, for instance, the indices for Italy, Croatia and Cyprus had all increased by more than 4 percentage points in Q4, 2022.

As evident from Graph 2, Belarus has since Q4 2021, moved from a below average position to become a leader in optimism on the European continent.

The Past and the Future

Throughout all four surveys, evaluations of the current state of the country and of personal wellbeing contrasted the projections for the future (see Graph 3). The projections for the future are much more positive, which is evident if we compare question 4 and 2 to question 3 and 1. At the same time, the share of negative answers is higher than the share of positive answers for all questions, and the term “optimism” should therefore be taken as the lack of strong negative views on the past and future.

A higher share of “difficult to say or do not know” answers is unsurprisingly found for questions regarding the future.

Graph 3. The composition of the CCI in Belarus for Q4 2022.

Note: All answers to the questions are distributed along a Likert scale from “will improve (has improved)” or “very good” to “will decline (has declined)” or “very bad”. For question 1 (Q1) and question 2 (Q2), the answer options range from “has improved” and “has declined”; and for question 5 (Q5), the answer options range from ”very good” to “very bad”. Source: BEROC.

The largest negative contribution to the index was the question on the current assessment of the country’s economic situation in relation to the previous year (question 1). The share of negative answers was 72 percent in December 2021, and it decreased only to 63 percent in November 2022, even though the economic performance prior to those periods was a 2.3 percent GDP growth and 4.7 percent GDP decline, respectively. Apparently, the worse the economy performed, the better was the perception of the past.

This is however not the case regarding the state of the household’s financial position. The share of negative answers was 48 and 47 percent, and the share of positive answers was 13 and 14 percent in December 2021 and November 2022, respectively.

The answers concerning the future standing of the economy and one’s personal financial position follow the same logic, with large disparities between the evaluation of the country’s economy – which one is negative about – and personal finances – where respondents are more optimistic.

What could influence the changes? We hypothesize that there are at least four possible explanations for the improvement in the CCI from Q1 to Q4, 2022:

a) a stabilization of the situation on the foreign exchange market
b) a slowing GDP decline, reaching a “local minimum”
c) an influence from Belarusian and Russian state-owned mass media outlets
d) failed negative expectations in previous periods

As discussed in a previous FREE Network Policy Brief by Luzgina (2022), the Belarusian currency market has stabilized since April, 2022. The Belarusian exchange rate is somewhat of a “Holy Grail” and a crucial factor for Belarusians after numerous financial crises in 2010s, so its stabilization could act as a positive signal for households. Indeed, when asking respondents about the factors influencing their income, the share of those who attributed this to the exchange rate had in August 2022 decreased by 25 percentage points, as compared to April the same year (from 45 to 20 percent, respectively).

The GDP decline slowed in the second half of 2022, from -4.9 percent in August to -4,7 percent in November. An additional positive development for Belarusians was that the inflation declined in November.

Media consumption is another essential factor in understanding consumer confidence. State-owned and independent media consumers showed significant differences in their assessments of the economy. Only 22 percent of state-owned media consumers rated the economy as “bad” or “very bad” compared to 68 percent of independent media consumers.

In April 2022, the World Bank estimated a possible Belarusian GDP change at -6.5 percent, the IMF
-6.4 percent and S&P -15 percent. The CCI in April was also at the lowest throughout BEROC’s observations at -23.0 percent. Despite these extremely negative forecasts for Belarus’ GDP, the actual outcomes were less catastrophic than expected. This might have improved respondents’ assessment of the future economic situation.

Conclusion

Data from the online household surveys show that imposed sanctions, the Russian war on Ukraine, and a declining economic growth in 2022 have not yet significantly affected the sentiments of Belarusians on a large scale. Rather, Belarusians’ expectations have improved despite serious current and future challenges to the Belarusian economy. In fact, Belarus is among the most optimistic nations in Europe, according to the surveys.

This is arguably due to a financial stabilization and an economic performance above expected, as well as exposure to state-owned media.

With this in mind, we may see an increase in households’ consumption in the following months, which will contribute to a slowdown in the GDP decline or even a slight economic recovery in 2023 – pending no new shocks occur.

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.

Would a Higher Minimum Wage Meaningfully Affect Poverty Levels Among Women? – A Simulation Case from Georgia

Posted on February 27, 2023 | Policy Brief

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In economic literature the effect of minimum wage on the labour market and its relevance as an anti-poverty, equality-enhancing policy tool, is a matter of vigorous debate. The focus of this policy brief is a hypothetical effect on poverty rates, particularly among women, following an increase in the minimum wage in Georgia. A simulation exercise (Babych et al., 2022) by the ISET-PI research team shows that, in Georgia, a potential increase in the minimum wage is likely to result in an overall positive albeit small reduction in poverty rates in general. At the same time, women are likely to gain more from such minimum wage policy than men. The findings are consistent with the literature claiming that a minimum wage increase alone may not result in meaningful poverty reduction. Any minimum wage increase should thus be enhanced by other policies such as training programs increasing labor force participation among women. 

Many countries around the world have enacted minimum wage laws. According to the International Labour Organization (ILO) “Minimum wages can be one element of a policy to overcome poverty and reduce inequality, including those between men and women” (ILO, 2023). In economic literature, the minimum wage debate has been particularly acute, with pros and cons of the minimum wage increases, their effect on the labor market, and their relevance as an anti-poverty and equality-enhancing policy tool fiercely contested in empirical studies and simulation studies. In this policy brief, we focus on the effect of a minimum wage increase in Georgia on poverty rates, and in particular poverty rates among women.

Minimum Wage Effects

According to the European Commission (2020) a number of benefits is associated with the introduction of minimum wage. These benefits include a reduction in in-work poverty, wage inequality and the gender pay gap, among others.

International evidence, however, cautions against considering an increase in minimum wage as the silver bullet to end poverty. A 2019 report by the International Labour Organization (ILO, 2019) shows that the incidence of poverty among the working poor is comparable to the incidence of poverty among individuals outside of the labor market. Therefore, even if an increase in minimum wages would lift all working poor out of poverty, a substantial number of poor would remain.

Moreover, minimum wage can have a potential adverse effect on employment of the most vulnerable by deterring firms from hiring low-wage, low-skilled labor (Neumark, 2018).  The adverse employment effect will be stronger if current wages correspond more closely to the real productivity of labor. In such scenario companies would lose by retaining low-productivity workers and, likely respond to the increase in minimum wage by laying off workers, resulting in the loss of wages, rather than in their increase. On the other hand, if salaries are lower than the real productivity of the less productive workers, companies might still be able to profit from employing them and will not be forced to lay them off, resulting in a wage increase for low-wage workers.

Whether – and to what extent – the introduction of a minimum wage reduces poverty and/or assists low-income households then depends on how many individuals are going to lose their jobs, how many workers will maintain their jobs and receive a higher wage, and where these winners and losers are positioned along the distribution of family incomes.

With regard to employment effects, the results are not perfectly homogeneous. On the one hand, a large body of evidence suggests that minimum wages do lower the number of jobs accessible to low-skill employees (Sabia, Burkhauser and Hansen, 2012; Sotomayor, 2021; Neumark, 2018) On the other hand, some scholars argue that once the study design is changed to take into account the non-random distribution of minimum wage policies in different parts of the country in question, the “disemployment effect” of minimum wage policies (considering the example of United States) largely disappear (Allegretto et al., 2013; Dube et al., 2010).

With regards to poverty, a number of studies look at minimum wage as an anti-poverty policy tool for developing countries and consider its effectiveness in reducing poverty and/or inequality. For example, a study by Sotomayor (2021) suggests that poverty and income inequality in Brazil decreased by 2.8 and 2.4 percent respectively within three months of a minimum wage increase. Effects diminished with time, particularly for bottom-sensitive distribution measures, a process that is consistent with resulting job losses being more frequent among poorer households. The fact that the subsequent yearly increase in the minimum wage in Brazil resulted in a renewed drop in poverty and inequality shows that possible unemployment costs might be outweighed by benefits in the form of higher pay among working persons and – potentially – by positive spillover effects such as increased overall consumption.

Minimum Wage and Female Poverty

As in the case of poverty in general, there is some discrepancy in the literature on whether a minimum wage increase would help reduce poverty among women. Single mothers have been the focus of research in this regard since they are typically the most vulnerable low-wage workers, likely to be hurt by the loss of employment following an increase/ introduction of a minimum wage. Burkhauser and Sabia (2007) argue that the minimum wage increases in the U.S. (1988-2003) did not have any effect on the overall poverty rates, on the poverty rates among the working poor, or on poverty among single mothers. They argue that an increase in Earned Income Tax Credit (EITC), which provides a wage subsidy to workers depending on income level, tax filing status, and the number of children, would have a higher impact on poverty, in particular among single mothers.

In the meantime, Neumark and Wascher (2011) find that EITC and minimum wage reinforce each other’s positive effect for single women with children (boosting both employment and earnings), but negatively affects childless single women and minority men. Another study on the U.S. (Sabia, 2008) looked at the effect of minimum wage increases on the welfare of single mothers, finding that most of them were unaffected as they earned above-minimum wage. Single mothers with low-education levels did not see an increase in net incomes due to the negative effect on employment and hours worked: for low-skilled individuals, a 10 percent increase in minimum wage resulted in an 8.8 percent decline in employment and an 11.8 percent reduction in hours worked.

Yet another study (DeFina, 2008) focus on child poverty rates and show that minimum wage increases have a positive (reducing) impact on child poverty in female-headed families. The effect is small but significant (a 10 percent increase in the minimum wage decreases child poverty rates by 1.8 percentage points), controlling for other factors.

Ultimately, the effect of minimum wage on poverty among women or female-headed households is somewhat ambiguous. It depends on the poverty threshold used, other policy instruments (such as the EITC), existing incentives to enter employment and how, in the specific country of interest, labor laws may affect the employer’s cost of hiring (e.g. for France, see Laroque and Salanie, 2002).

The discussion is however relevant for countries like Georgia, where the wage gap between men and women is quite large, and where more women than men tend to work in low-wage and vulnerable jobs. While the overall poverty gap between men and women in Georgia is insignificant (mainly because poverty is measured at the household level), the gap becomes apparent when comparing female-headed households to male-headed ones. The poverty rates in the former case are nearly 2 percentage points higher in Georgia (20 percent vs. 18.3 percent in 2021). The poverty rates are the highest among households with only adult women (39.3 percent for all-female households vs. 20.1 percent overall in 2018).

A Simulation of a Minimum Wage Raise in Georgia

The Georgian minimum wage legislation dates back to 1999. The presidential decree N 351 from June 4, 1999 states that the minimum (monthly) wage that is to be set in Georgia is equal to 20 GEL (with some specific exceptions in the public sector). This is a non-binding threshold.  Therefore, one has to think carefully what consequences might arise from raising the minimum wage to a much higher level. In addition to previously discussed aspects, one issue to keep in mind is the different average wages across different regions in Georgia. For example, a national minimum wage increase might have more of an impact in poorer regions, where both wages and incomes are lower, while it may still be non-binding in Tbilisi.

The ISET-PI research team (Babych et al., 2022) use Georgian micro data from the Labor Force Survey (LFS) and the Household Integrated Expenditure Survey (HIES), to simulate the effect of instituting a nation-wide minimum wage on both employment and poverty rates in different regions of Georgia. One focus area of the study was to analyze the effects of a minimum wage increase on female poverty. As with any exercise using a simulation approach, this study is subject to limitations imposed by the assumptions used, e.g. how much labor demand would respond to changes in the minimum wage, etc. The study considered two hypothetical thresholds of the minimum wage; 250 and 350 GEL respectively.

Figure 1. Share of private sector employees earning below certain thresholds, by gender, 2021.

Source: Authors’ calculations based on the Labor Force Survey (Geostat, 2021).

The expected household income after the minimum wage increase was calculated and then compared to the poverty threshold (for each household in a standard way, using the “adult equivalence” scale). According to this methodology, any person who lives in a household which falls below the poverty threshold is considered to be poor. A “working poor” household is defined as a household below the poverty threshold where at least one adult is working.

Figure 1 shows that there is a substantial share of both men and women whose monthly wage income falls below the hypothetical minimum wage thresholds. In addition, women are more than two times as likely to be earning below these thresholds. However, the possible impact from an increased minimum wage on female vs. male poverty is not clear-cut. Since many women are part of larger households which include adult males, their possible income losses/gains may be counterbalanced by income gains/losses of male family members, leaving the overall effect on household income ambiguous.

In addition, poverty rates are not likely to be much affected by a minimum wage increase if most poor households are “non-working poor” (where adult family members are either unemployed or outside of the labor force), a consideration particularly relevant for Georgia. The share of poor individuals who live in “working poor” households (with at least one household member employed) is just 41 percent nationally (and 35 percent in rural areas), meaning that close to 60 percent of poor individuals nationwide (and 65 percent in rural areas) are not likely to be directly affected by minimum wage increases.

Female vs. Male Poverty: Scenarios Following a Minimum Wage Increase

As one can see in Figure 2, increased minimum wages tend to reduce poverty, but the impact is not larger than one percentage point. Not surprisingly, females benefit more than males (0.3 and 0.8 percentage points vs. 0.2 and 0.9 percentage points poverty reduction for men and women respectively, under different threshold scenarios).  The maximum positive impact on poverty reduction is observed under a higher minimum wage threshold.

Figure 2. Estimated impact on poverty rates, based on the national subsistence minimum.

Source: Authors’ calculations based on the Household Integrated Expenditure Survey (Geostat, 2021).

The impact of an increased minimum wage on the expected median consumption of households doesn’t exceed a few percentage points either, as illustrated in Figure 3.

Figure 3. Median monthly consumption per “equivalent adult” in the household under the status quo and minimum wage scenarios, 2021.

Source: Authors’ calculations based on the Household Integrated Expenditure Survey (Geostat, 2021).

The impact is greatest in urban areas other than Tbilisi (between a 2.5 percent and a 4.2 percent increase in median consumption relative to the status quo). The lower impact in Tbilisi is most likely driven by relatively higher wages, while the low impact in rural areas is likely driven by lower participation in wage employment.

Conclusions

In the hypothetical case of Georgia, an impact of a minimum wage increase on poverty rates is expected to be limited, in line with the literature. In our study this finding is mostly driven by the fact that only a relatively small share of poor individuals live in “working poor” households (about 40 percent, nationally). The remaining 60 percent of poor individuals will be unaffected by the reform.

The quantitative impact on female and male poverty is estimated to be low, although the female poverty rate reduction is somewhat larger than among males.

It is important to note that the analysis doesn’t consider possible differential impacts on different groups of vulnerable families, such as families with small children and single mothers with small children. Some reasons to why groups of households may or may not be affected by the hypothetical minimum wage increase, based on their employment status and other factors, have been discussed above.

Another important point is that our exercise should not be seen as an argument against an increase of the minimum wage in Georgia. Instead, it suggests that such a reform would not have much of an impact if done in isolation. Indeed, the existing literature on minimum wage seems to be in consensus on the fact that minimum wage policies would be more impactful if supplemented by the following measures:

  • Maintain and expand targeted social assistance to groups that do not benefit or that are losing jobs/incomes as a result of the minimum wage changes
  • Have job re-training programs in place to help laid-off workers
  • Have human capital investment programs in place to increase workers’ productivity, in particular for low-productivity sectors
  • Consider other support instruments targeted toward the most affected groups of the population such as single working mothers etc.

These recommendations should be incorporated in the policy making regarding minimum wages in Georgia.

Acknowledgement

We are grateful to Expertise France for financially supporting the original report (Babych et al., 2022), which features some of the results and points raised in this policy brief.

References

Disclaimer: Opinions expressed during events and conferences are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

What Can We Learn from Regional Patterns of Mortality During the Covid-19 Pandemic?

Posted on February 20, 2023 | Policy Brief

Doctor outside COVID-19 isolation center representing covid-19 pandemic mortality

Given the nature of the spread of the virus, strong regional patterns in fatal consequences of the Covid-19 pandemic are to be expected. This brief summarizes a detailed examination of the spatial correlation of deaths in the first year of the pandemic in two neighboring countries – Germany and Poland. Among high income European countries, these two seem particularly different in terms of the death toll associated with the pandemic, with many more excess deaths recorded in Poland as compared to Germany. Detailed spatial analysis of deaths at the regional level shows a consistent spatial pattern in deaths officially registered as related to Covid-19 in both countries. For excess deaths, however, we find a strong spatial correlation in Germany but little such evidence in Poland. These findings point towards important failures or neglect in the areas of healthcare and public health in Poland, which resulted in a massive loss of life.

Introduction

While almost all European countries currently refrain from imposing any Covid-19 related restrictions, the pandemic still takes a huge economic, health and social toll across societies worldwide. The regional variation of incidence and different consequences of the pandemic, observed over time, should be examined to draw lessons for ongoing challenges and future pandemics. This brief outlines a recently published paper by Myck et al. (2023) in which we take a closer look at two neighboring countries, Germany and Poland.  Within the pool of high-income countries, these are particularly different in terms of the death toll associated with the Covid-19 pandemic. In 2020 in Poland, the excess deaths rate (with reference to the 2016-2019 average) was as high as 194 per 100,000 inhabitants, over 3 times higher than the 62 deaths per 100,000 inhabitants in Germany (EUROSTAT, 2022a, 2022b). While, in relative terms, the death toll officially registered as resulting from Covid-19 infections in 2020 was also higher in Poland than in Germany, the difference was considerably lower (about 75 vs 61 deaths per 100,000 inhabitants, respectively) (Ministry of Health, 2022; RKI, 2021). Population-wise Germany is 2.2 times larger than Poland and, before the pandemic struck, the countries differed also in other relevant dimensions related to the socio-demographic structure of the population, healthcare and public health. The nature of Covid-19 and the high degree of regional variation between and within the two countries along some crucial dimensions thus make Germany and Poland an interesting international case for comparison of the pandemic’s consequences. We show that the differences in the spatial pattern of deaths between Germany and Poland may provide valuable insight to the reasons behind the dramatic differences in the aggregate numbers of fatalities (Myck et al., 2023).

Regional Variation in Pandemic-Related Mortality and Pre-Pandemic Characteristics

We examine three measures of mortality in the first year of the Covid-19 pandemic in 401 German and 380 Polish counties (Kreise and powiats, respectively): the officially recorded Covid-19 deaths, the total numbers of excessive deaths (measured as the difference in the number of total deaths in year 2020 and the 2015-2019 average) and the difference between the two measures. Figure 1 shows the regional distribution of these three measures calculated per 1000 county inhabitants. All examined indicators were generally much higher in Poland as compared to Germany. In Poland, deaths officially registered as caused by Covid-19 were concentrated in the central and south-eastern regions (łódzkie and lubelskie voivodeships), while in Germany they were concentrated in the east and the south (Sachsen and Bayern). Excess mortality was predominantly high in German regions with high numbers of Covid-19 deaths, but also in nearby regions. As a result, these same regions also show greater differences between excessive deaths and Covid-19 deaths. On the contrary, high excessive deaths can be noted throughout Poland, including the regions where the number of Covid-19 deaths were lower. In the case of Poland, spatial clusters are much less obvious for both excess deaths and the difference between excess and Covid-19 deaths. To further explore the degree of regional variation between and within countries with respect to the mortality outcomes, we link them to regional characteristics such as population, healthcare and economic conditions, which might be relevant for both the spread of the virus and the risk of death from Covid-19. In Figure 2 we illustrate the scope of regional disparities with examples of (a) age structure of the population, (b) the pattern of economic activity and (c) distribution of healthcare facilities in years prior to the pandemic.

Figure 1. Regional variation of death incidence in 2020: Germany and Poland.

Note: The panels share a common legend based on the quintile distribution of Covid-19 deaths, with two additional categories added at the top and bottom of the scale. County borders in white, regional borders in yellow and country border in grey. Source: Myck et al. (2023).

Figure 2. Pre-pandemic regional variation of socio-economic indicators: Germany and Poland.

Note: Two top and bottom categories in the legend cover 10% of observations each, the rest of categories cover 20% of observations each. County borders in white, regional borders in yellow and country border in grey. Source: Myck et al. (2023).

Shares of older population groups (aged 85+ years) are clearly substantially higher in Germany compared to Poland, and within both countries these shares are higher in the eastern regions. On the other hand, the proportion of labor force employed in agriculture is significantly higher in Poland and heavily concentrated in the eastern parts of the country. In Germany, this share is much lower and more evenly spread. This indicator illustrates that socio-economic conditions in 2020 were still substantially different between the two countries. The share of employed in agriculture is also important from the point of view of pandemic risks – it reflects lower levels of education, and specific working conditions that make it challenging to work remotely yet entail less personal contact and more outdoor labor. The distribution of hospital beds reflects the urban/rural divide in both countries. It is also a good proxy for detailing the differences in the overall quality of healthcare between the two countries, i.e. displaying significantly better healthcare infrastructure in German counties.

Uncovering the Spatial Nature of Excess Deaths in Germany and Poland

While spatial similarities among regions are present along many dimensions, they are particularly important when discussing such phenomena as pandemics, when infection spread affects nearby regions more than distant ones. With regard to the spatial nature of excess deaths in the first year of the pandemic, a natural hypothesis is thus that the pattern of these deaths should reflect the nature of contagion. This applies primarily to excess deaths directly caused by the pandemic (deaths resulting from infection with the virus). At the same time, some indirect consequences of Covid-19 such as limitations on the availability of hospital places and medical procedures, or lack of medical personnel to treat patients not affected by Covid-19, are also expected to be greater in regions with a higher incidence of Covid-19. On the other hand, spatial patterns are much less obvious in cases where excess deaths would result, for example, from externally or self-imposed restrictions such as access to primary health care, reduced contact with other people, diminished family support, or mental health problems due to isolation. While these should also be regarded as indirect consequences of the pandemic, as they would arguably not have realized in its absence, these consequences do not necessarily relate to the actual spread of the virus. Our in-depth analysis of the spatial distribution of the three examined mortality-related measures, therefore, allows us to make a crucial distinction in possible explanations for the dramatic differences in the observed death toll in the first year of the pandemic in Germany and Poland. We explore the degree of spatial correlation in the three mortality outcomes using multivariate spatial autoregressive models, controlling for a number of local characteristics (for more details see Myck et al., 2023).

We find that in Germany, all mortality measures show very strong spatial correlation. In Poland, we also confirm statistically significant spatial correlation of Covid-19 deaths. However, we find no evidence for such spatial pattern either in the total excess deaths or in the difference between excess deaths and Covid-19 deaths. In other words, in Poland, the deaths over and above the official Covid-19 deaths do not reflect the features to be expected during a pandemic. As the results of the spatial analysis show, these findings cannot be explained by the regional pre-pandemic characteristics but require alternative explanations. This suggests that a high proportion of deaths results from a combination of policy deficits and individual reactions to the pandemic in Poland. Firstly, during the pandemic, individuals in Poland may have principally withdrawn from various healthcare interventions as a result of fear of infection. Secondly, those with serious health conditions unrelated to the pandemic may have received insufficient care during the Covid-19 crisis in Poland, and, as a consequence, died prematurely. This may have been a result of lower effectiveness of online medical consultations, excessive limitations to hospital admissions – unjustified from the point of view of the spread of the virus, and/or worsened access to healthcare services as a result of country-wide lockdowns and mobility limitations. The deaths could also have resulted from reduced direct contact with other people (including family and friends as well as care personnel) and mental health deterioration as a consequence of (self)isolation. Our analysis does not allow us to differentiate between these hypotheses, but the aggregate excess deaths data suggests that a combination of the above reasons came at a massive cost in terms of loss of lives. The consequences reflect a very particular type of healthcare policy failure or policy neglect in the first year of the pandemic in Poland.

Our study also shows that a detailed analysis of country differences concerning the consequences of the ongoing pandemic can serve as a platform to set and test hypotheses about the effectiveness of policy responses to better tackle future global health crises.

Acknowledgement

The authors wish to acknowledge the support of the German Research Foundation (DFG, project no: BR 38.6816-1) and the Polish National Science Centre (NCN, project no: 2018/31/G/HS4/01511) in the joint international Beethoven Classic 3 funding scheme – project AGE-WELL. For the full list of acknowledgements see Myck et al. (2023).

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.

Climate Risk Perception and Green Behavior in Belarus

Posted on January 23, 2023 | Policy Brief

Toxic smoke stacks emitting carbon pollution and causing climate change and representing climate risk perception

Understanding how people perceive climate risks and what factors influence this perception is important for a shift towards more sustainable consumer behavior and thus a reduction of greenhouse gas emissions. This policy brief presents the results from a survey  on the attitudes to climate change and environmentally responsive behavior among the urban Belarusian population aged 18-75. The findings show that 72.7 percent of the respondents consider climate change as a threat to the country in the coming 20 years. This climate risk perception, however, does not fully result in more sustainable consumer behavior in Belarus. The survey also reveals that the mass media, with the exception of the Internet, have no influence on the formation of people’s attitudes toward climate change.

Global warming constitutes one of the major threats to humanity and an obstacle to achieving sustainable development. 72 percent of global greenhouse gas emissions are attributed to households (IPCC, 2022), underlining the importance of individual behavioral changes to tackle global warming.

Acknowledging climate change as a risk is a precondition to shift people’s behavior towards sustainable practices (Le Coq and Paltseva, 2021). Thus, the objective of the study underlying this brief is to analyze whether the population in Belarus considers climate change as a threat, and which factors and media channels might have an effect on such perceptions. Additionally, the brief will explore whether climate change risk perceptions actually translate into more environmentally sustainable consumer behavior.

Climate Change as a Threat

The online-survey was conducted in April, 2022 among the urban population in Belarus aged 18-75. The purpose of the survey was to collect individual data on environmentally responsible behaviors and climate change perceptions. The sample includes 1029 individuals and is representative by age, gender and region. According to the survey, 72.7 percent of the respondents consider climate change as a threat to the country in the coming 20 years.

To explore which demographic and socio-economic variables (e.g., education, age, gender, income, and mass media) influence the perception of climate change as a risk among the Belarusian population, we employ a logistic regression model. The results reveal that gender, personal experience of extreme weather events and exposure to climate change information on the Internet play an important role in forming climate change risk perceptions among Belarusians, as depicted in Table 1.

Table 1. Determinants of Climate Change Risk Perception

Note: Media channels are measured on a 5-point Likert scale where 0 denotes “Don’t use this media”; 1 “never” up until 4, “very often”, answering the question “How often do you come across the information about climate change, environmental problems or sustainable lifestyle on the following media?”. Standard errors are in parentheses, *** p<0.01, ** p<0.05 and * p<0.1

Women are 6.1 percent more likely to consider climate change as a threat than men. This could be due to a higher level of empathy exhibited by women, making them more worried about consequences of extreme weather events and environmental protection and more sensitive to the risk of environmental degradation (Milfont and Sibley, 2016). Respondents with personal experience from, or those who have close persons having suffered significant damage from severe weather events such as floods or violent storms in the past two years, are 25.2 percent more likely to perceive climate change as a risk. Thus, personal experience of severe weather events is one of the main factors that impact climate change risk perception. The literature also confirms that climate beliefs are linked to these experiences (see for instance Spence et al., 2011; Dai et al., 2015; Demski et al., 2017 and Bergquist et al., 2019).  Interestingly, out of all types of mass media included in the analysis (TV, newspapers, radio and the Internet), only exposure to environmental information on the Internet makes individuals 5.5 percent more likely to take climate change seriously. This indicates that nowadays people in Belarus get independent analytical and expert information on climate problems mainly from the Internet.

Environmentally Responsible Behavior

The same survey data was used to analyze environmentally responsible behavior among the Belarusian population. Although more than 72 percent of the respondents consider environmental change as a threat, the climate risk perception does not fully project into more sustainable behaviors – even within this subgroup. As illustrated in Figure 1, this belief is very well translated into such environmentally responsible actions as water saving, energy saving, mobility and repairing. The share of people engaged in these activities on a regular basis account for 62-73 percent.  These behaviors are however financially beneficial to the practitioner, and may largely be because of economic reasons rather than an effort to minimize the impact on the environment. At the same time, the survey shows that people in Belarus less often engage in such environmentally friendly actions such as waste separation, reduced use of plastic bags or use of own bag when shopping (see Figure 1). These actions are not linked to any financial benefits and are often associated with higher time costs (e.g., waste separation) or loss of convenience (e.g., decreased plastics use). This suggests that environmentally responsible behavior among the Belarusian population is largely determined by external factors, rather than a product of intrinsic care of the environment.

Figure 1. Frequency of Environmentally Responsible Behaviors Among the Respondents who Consider Climate Change as a Risk

Note: Distribution of the answers to the question “Could you please evaluate on a scale from 1 (never) to 4 (always) how often you engage in these behaviors for environmental reasons?” Mobility represents walking, biking or using public transportation instead of a car. Repairing means choosing to reuse or repair something (e.g. clothes) rather than to throw it away.

Conclusion

Survey results show that the urban population in Belarus recognizes global warming as a serious problem, with 72.7 percent of the respondents seeing climate change as a threat to the country in the next 20 years. However, these beliefs have not yet fully projected into green consumption behavior.

With this in mind, efforts to shift Belarusians towards environmentally responsive behavior should be strengthened. Endeavors need to be made to raise public awareness of environmental issues and to promote a sustainable lifestyle among the Belarusian population. In particular, and in addition to the Internet, the role of mass media (such as television, radio and print media) to deliver the message on the need for more sustainable consumption and greater involvement in environmentally friendly actions, ought to be increased.

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.

Minimum Wage Spike and Income Underreporting

Posted on January 16, 2023 | Policy Brief

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The labor markets of many transition countries are characterized by two features: a spike at the minimum wage level in the wage distribution and widespread use of so-called envelope wages, i.e. non-declared cash payments in addition to the official wage. In this brief, we present a body of suggestive evidence showing that tax evaders are overrepresented among minimum wage earners in Latvia. 

Introduction

Labor markets in many transition and post-transition countries are characterized by the prevalence of payroll tax evasion in the form of envelope wages, i.e. non-declared cash in addition to the official wage (see for instance Putnins and Sauka (2015) for Latvia, Paulus (2015) and Kukk and Staehr (2014) for Estonia and  Bíró et al. (2022) and Elek et al. (2012) for Hungary).

Another defining characteristic of these transition economies is a very large peak at exactly the minimum wage in the wage distribution. To explain this phenomenon, Tonin (2011) argues that the mass of individuals at the minimum wage level is composed to a large extent of workers receiving envelope wages, where employers and employees collude and agree on reporting only the minimum wage to minimize tax liabilities while remaining under the radar of the tax authorities. In such a setup, the minimum wage policy becomes an enforcement tool for the fiscal administration, as it pushes non-compliant firms to convert part of the envelope wage into an official wage so that it reaches the new minimum wage.

However, only scarce concrete evidence shows that payroll tax evaders are overrepresented among minimum wage earners. Considering the regular minimum wage hikes in the region (e.g., a 95 percent increase in Latvia in 2010-2022 and a planned increase by another 24 percent in 2023), understanding the interaction between minimum wage policy and labor tax evasion is crucial.

In this brief, we present a body of suggestive evidence highlighting the prevalence of wage underreporting at exactly the minimum wage level in Latvia.

Data and Methodology

We use Latvian administrative employer-employee data for 2011 to 2015, covering the full Latvian employed population at a monthly rate. To identify tax evasion, we rely on the comparison between small and large firms. The literature studying tax evasion provides considerable evidence showing that small firms tend to evade more taxes than large firms. Kleven et al. (2016) provide a theoretical foundation for this result, showing that collusive evasion is more difficult to sustain in firms with more employees. Empirically, this effect has been documented in many countries (see for instance Putnins and Sauka (2015), Gavoille and Zasova (2021), and Benkovskis and Fadejeva (2022) for the results on Latvia, Bíró et al. (2022) for Hungary, Paulus (2015) for Estonia, and Kumler et al. (2020) for Mexico).

In this brief, we use a very broad definition for firm size categories and divide firms into firms employing 30 or fewer employees as small and firms with more than 30 employees as large. With such a crude definition, it is inevitable that firms below and above the threshold are highly heterogeneous, implying that some firms below the threshold are tax-compliant, while some firms above the threshold are tax-evading. For our purposes though, it is sufficient to assume that the share of evading employees in small firms is larger than that in the sample of large firms.

Results

We begin by plotting the distribution of wages in the private sector. Figure 1 plots monthly wages in the range of 0–1000 Euros in 2011. The right most dashed vertical line in the figure marks the minimum wage (284.57 Euros per month in 2011) and the left most dashed line marks 50 percent of the minimum wage. There are clear spikes at the minimum wage (and at half of the minimum wage). The minimum level wage spike in small firms (top graph) is much more pronounced than in large firms (bottom graph), which is consistent with the idea that the spike is driven by income underreporting.

Figure 1. Gross wage distribution in the private sector in small (< 30 empl.) and large (> 30 empl.) firms in 2011.

Note: Micro enterprises are excluded. Vertical lines depict the minimum wage (284.57 Euro) and half of the minimum wage (142.29 Euro) in 2011. Source: Authors’ calculations.

This explanation implies that employers and employees choose to declare employment and underdeclare earnings instead of staying completely informal, which is consistent with the available evidence. Staying completely informal involves much higher risks of detection if authorities perform regular inspections of workplaces, and in many Central European countries with prevalent income underreporting, completely informal employment is not very common (OECD, 2008). In Latvia, firms have to register employees in the electronic system of the State Revenue Service before they start to work, hence the probability that an unofficially employed person is detected during a workplace inspection is very high (State Labor Inspectorate, 2010). Existing empirical evidence on Latvia also suggests that income underreporting is much more widespread than completely informal employment, which is estimated at only 2–3.5 percent (European Commission, 2014; Hazans, 2012). Hence, we interpret the spikes as indicative of tax evaders bunching at the minimum wage.

Wage Growth Among Minimum Wage Earners

Wages are expected to grow with tenure, but if minimum wage earners receive part of their income in cash, their reported wage can remain unchanged even after years of employment within a firm (as any increase would arguably go through the non-declared cash). To examine if this is the case, we exploit a period when there were no changes in the Latvian minimum wage (January 2011–December 2013). We select employees who were employed by the same firm in all months of 2011–2013, assign them to wage bins according to their wage in 2011, and in each wage bin calculate the share of workers whose wage in 2013 was the same as in 2011. We assign workers to 10-Euro bins, with the exception of minimum wage earners, whom we assign to a bin of 1 Euro.

As evident from Figure 2 minimum wage earners clearly stand out from other employees. In small firms, almost 45 percent of employees earning the minimum wage in 2011 had the same reported wage in 2013. There is also a spike at the minimum wage in large firms (28 percent), but it is less pronounced than in small firms.

Figure 2. Proportion of continuously employed workers facing no wage growth between 2011 and 2013, by wage bins, in small (< 30 empl.) and large (> 30 empl.) firms.

Note: Micro enterprises and public sector firms are excluded. Source: Authors’ calculations.

An alternative explanation for the large share of minimum wage earners who experience no wage growth could be that, for many of them, the minimum wage is binding. To rule this out, we perform the same calculations on a sample of young employees (24 or younger in 2011). Workers in the early stages of their careers tend to have higher returns to experience and tenure; thus, young workers are less likely to have no wage growth after three years of employment with the same firm. Figure 3 plots the results for young workers. In large firms, the spike at the minimum wage is more than twice as small as for the full sample of workers (12 percent vs. 28 percent), but in small firms it remains very high (33 percent).

Figure 3. Proportion of continuously employed young workers (aged 24 or less in 2011) facing no wage growth between 2011 and 2013, by wage bins, in small (< 30 empl.) and large (> 30 empl.) firms.

Note: Micro enterprises and public sector firms are excluded. Source: Authors’ calculations.

Conclusion

This brief documents highly prevalent tax evasion among minimum wage earners in Latvia. In such a context, the minimum wage is a powerful fiscal instrument as a higher minimum wage pushes non-compliant firms to disclose a larger share of their employees’ true earnings. In addition, wage underreporting among minimum wage earners can act as a shock absorber and cushion the negative employment effects of a minimum wage hike in countries where a large share of workers officially receive the minimum wage.

These upsides however come at a cost. The results presented in this brief by no means imply that all minimum wage earners are tax evaders; a notable share of employees receiving the minimum wage on paper do honestly earn only the minimum wage. In our paper (Gavoille and Zasova, 2022), we show that the flip side of the positive fiscal effect of a minimum wage hike is job losses among genuine low-wage earners and closures of tax-compliant firms that are affected by the hikes.

Acknowledgement

This brief is based on a recent article published in the Journal of Comparative Economics (Gavoille and Zasova, 2022). The authors gratefully acknowledge funding from LZP FLPP research grant No.LZP-2018/2-0067 InTEL (Institutions and Tax Enforcement in Latvia).

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.

How to Sustain Support for Ukraine and Overcome Financial and Political Challenges | SITE Development Day 2022

Posted on January 9, 2023 | Policy Brief

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The Russian war on Ukraine has turmoiled Europe into its first war in decades and while the effects of the war are harshly felt in Ukraine with lives lost and damages amounting, Europe and the rest of the world are also being severely affected. This policy brief shortly summarizes the presentations and discussions at the SITE Development Day Conference, held on December 6, 2022. The main focus of the conference was how to maintain and organize support for Ukraine in the short and long run, with the current situation in Belarus and the region and the ongoing energy crisis in Europe, also being addressed. 

War in Ukraine, Oppression in Belarus

Starting off the conference, Sviatlana Tsikhanouskaya, Leader of the Belarusian Democratic Forces, delivered a powerful speech on the necessity of understanding the role of Belarus in the ongoing war in Ukraine. Tsikhanouskaya argued that Putin’s war on Ukraine was partly a result of the failed Belarusian revolution of 2020. The following oppression, torture, and mass arrestations of Belarusians is a consequence of Lukashenka’s and Putin’s fear of a free Belarus, a Belarus that is no longer in the hands of Putin – who sees not only Belarus but also Ukraine as colonies in his Russian empire. Amidst the fight for Ukraine, we must also fight for a free Belarus, Tsikhanouskaya added. Not only Belarusians fighting alongside Ukrainians against Russia in Ukraine, but also other parts of the Belarusian opposition need support from the free and democratic world and the EU. The massive crackdowns on opponents of the Belarusian regime today and the war on Ukraine are not only acts of violence, but they are also acts against democracy and freedom. The world must therefore continue to give support to those fighting in both Belarus and Ukraine. Ukraine will never be free unless Belarus is free, Tsikhanouskaya concluded.

Johan Forssell, Minister of Foreign Trade and International Development Cooperation continued Tsikhanouskaya’s words on how the Russian attack must be seen and treated as a war on democracy and the free world. Belarus, Moldova and especially Ukraine will receive further support from Sweden, Forssell continued, adding that the Swedish support to Ukraine has more than doubled since the invasion in February 2022. Support must however not be given only in economic terms and consequently Sweden fully supports Ukraine on its path to EU-membership, which will be especially emphasized during Sweden’s upcoming EU-presidency.  Support for the rule of law, democracy and freedom will continue to be essential and, in the forthcoming reconstruction of Ukraine, these aspects – alongside long term sustainable and green solutions – must be integrated, Forssell continued. Forssell also mentioned the importance of reducing the global spillover effects from the war. In particular, Forssell mentioned how the war has struck countries on the African continent, already hit with drought, especially hard with increased food prices and increased inflation, displaying the vital role Ukrainian grain exports play.

Andrij Plachotnjuk, Ambassador Extraordinary and Plenipotentiary of Ukraine to the Kingdom of Sweden, further talked about the need for rebuilding a better Ukraine, emphasizing the importance of involvement from Kiyv School of Economics (KSE) and other intellectuals and businesses in this process. Plachotnjuk also pinpointed what many others would come to repeat during the day; that resources, time and efforts devoted to supporting Ukraine must be maintained and persevered in the longer perspective.

Economic Impacts From the War and How the EU and Sweden Can Provide Support

During the first half of the conference, the Ukrainian economy and how it can be supported by the European Union was also discussed. On link from Kiyv, Tymofiy Mylovanov, President of the Kyiv School of Economics, shared the experiences of the University during wartime and presented the work KSE has undertaken so far – and how this contributes to an understanding of the damages and associated costs. Since the invasion, KSE has supported the government in three key areas; 1) Monitoring the Russian economy, 2) Analyzing what sanctions are relevant and effective, and 3) Estimating the cost of damages from the war. For the latter, KSE is collaborating with the World Bank using established methods of damage assessment including crowd sourced information on damages complemented with images taken by satellites and drones. According to Mylovanov, the damage assessment is crucial in order to counter Russia’s claims of a small conflict and to remind the international community of the high price Ukraine is paying to hold off Russia.

The economic impact from the war was further accentuated during the presentation by Yulia Markuts, Head of the Centre of Public Finance and Governance Analysis at the Kyiv School of Economics. Markuts explained how the Ukrainian national budget as of today is a “wartime budget”. Since February 2022, the budget has been reoriented with defense and security spending having increased 9 times compared to 2021, whereas only the most pressing social expenditures have been implemented. This in a situation where the Ukrainian GDP has simultaneously decreased by 30 percent. Although there has been a substantial inflow of foreign aid, in the form of grants and loans, the Ukrainian budget deficit for 2023 is estimated to 21 percent. Part of the uncertainty surrounding the Ukrainian budget stems from the fact that the inflow from the donor community is irregular, prompting the government to cover budget deficits through the National Bank which fuels inflation and undermines the exchange rate. Apart from the large budget posts concerning military spending, major infrastructural damages are putting further pressure on the Ukrainian budget in the year to come, Markuts continued. As of November 2022, the damages caused by Russia to infrastructure in Ukraine amounted to 135,9 billion US Dollars, with the largest damages having occurred in the Kiyv and Donetsk regions, as depicted in Figure 1.

Figure 1. Ukrainian regions most affected by war damages, as of November 2022.

Source: Kiyv School of Economics

The infrastructural damages constitute a large part of the estimated needed recovery support for Ukraine, together with losses to the state and businesses amounting to over one trillion US Dollars. However, such estimates do not cover the suffering the Ukrainian people have encountered from the war.

The large need for steady support was discussed by Fredrik Löjdquist, Centre Director of the Stockholm Centre for Eastern European Studies (SCEEUS), who argued the money needs to be seen as an investment rather than a cost, and that we at all times need to keep in mind what the consequences would be if the support for Ukraine were to fizzle out. Löjdquist, together with Cecilia Thorfinn, Team leader of the Communications Unit at the Representation of the European Commission in Sweden, also emphasized how the reconstruction should be tailored to fit the standards within the European Union, given Ukraine’s candidacy status. Thorfinn further stressed that the reconstruction must be a collective effort from the international community, although led by Ukraine. The EU is today to a large extent providing their financial support to Ukraine through the European Investment Bank (EIB). Jean-Erik de Zagon, Head of the Representation to Ukraine at the EIB, briefly presented their efforts thus far in Ukraine, efforts that have mainly been aimed at rebuilding key infrastructure. Since the war, the EIB has deployed an emergency package of 668 million Euro and 1,59 billion for the infrastructure financing gap. While all member states need to come together to ensure continued support for Ukraine, the EIB is ready to continue playing a key role in the rebuilding of Ukraine and to provide technical assistance in the upcoming reconstruction, de Zagon said. This can be especially fruitful as the EIB already has ample knowledge on how to carry out projects in Ukraine.

During a panel discussion on how Swedish support has, can and should continuously be deployed, Jan Ruth, Deputy Head of the Unit for Europe and Latin America at Sida, explained Sida’s engagement in Ukraine and the agency’s ambition to implement a solid waste management project. The project, in line with the need for a green and environmentally friendly rebuild, is today especially urgent given the massive destructions to Ukrainian buildings which has generated large amounts of construction waste. Karin Kronhöffer, Director of Strategy and Communication at Swedfund, also accentuated the need for sustainability in the rebuild. Swedfund invests within the three sectors of energy and climate, financial inclusion, and sustainable enterprises, and hash previously invested within the energy sector in Ukraine. Swedfund is also currently engaged in a pre-feasibility study in Ukraine which would allow for a national emergency response mechanism. Representing the business side, Andreas Flodström, CEO and founder of Beetroot, shared some experiences from founding and operating a tech company in Ukraine for the last 10 years. According to Flodström there will, apart from a huge need in investments in infrastructure, also be a large need for technical skills in the rebuild. Keeping this in mind, bootcamp style educations are a necessity as they provide Ukrainians with essential skills to rebuild their country.

A recurring theme in both panel discussions was how the reconstruction requires both public and private foreign investments. Early on, as the war continues, public investments will play the dominant part, but when the situation becomes more stable, initiatives to encourage private investments will be important. The potential of using public resources to facilitate private investments through credit guarantees and other risk mitigation strategies was brought up both at the European and the Swedish level, something which has also been emphasized by the new Swedish government.

Impacts From the War Outside of Ukraine – Energy Crisis and Other Consequences in the Region

The conference also covered the effects of the war outside of Ukraine, initially keying in on the consequences from the war on energy supply and prices in Europe. Chloé Le Coq, Professor of Economics, University Paris-Pantheon-Assas (CRED) & SITE, gave a presentation of the current situation and the short- and long-term implications. Le Coq explained that while the energy market is in fact functioning – displaying price increases in times of scarcity – the high prices might lead to some consumers being unable to pay while some energy producers are making unprecedented profits. The EU has successfully undertaken measures such as filling its gas storage to about 95 percent (goal of 80 percent), reducing electricity usage in its member countries, and by capping market revenues and introducing a windfall tax. While the EU is thus appearing to fare well in the short run, the reality is that EU has increased its coal dependency and paid eight times more in 2022 to fill its gas storage (primarily due to the imports of more costly Liquified Natural Gas, LNG). In the long run, these trends are concerning given the negative environmental externalities from coal usage and the market uncertainty when it comes to the accessibility and pricing of LNG. Uncertainties and new regulation also hinder investments signals into new low-carbon technologies, Le Coq concluded. Bringing an industrial perspective to the topic, Pär Hermerèn, Senior advisor at Jernkontoret, highlighted how the energy crisis is amplified by the increased electricity demand due to the green transition. Given the double or triple upcoming demand for electricity, Hermerèn, referred back to the investment signals, saying Sweden might run the risk of losing market shares or even seeing investment opportunities leave Sweden. This aspect was also highlighted by Lars Andersson, Senior advisor at Swedenergy, who, like Hermerèn, also saw the Swedish government’s shift towards nuclear energy solutions. Andersson stated the short-term solution, from a Swedish perspective, to be investments into wind power, urging policy makers to be clear on their intentions in the wind power market.

Other major impacts from the war relate to migration, a deteriorating Belarusian economy and security concerns in Georgia. Regarding the latter, Yaroslava Babych, Lead economist at ISET Policy Institute, Georgia, shared the major developments in Georgia post the invasion. While the Georgian economic growth is very strong at 12 percent, it is mainly driven by the influx of Russian money following the migration of about 80 000 Russians to Georgia. This has led to a surge in living costs and an appreciation of the local currency (the Lari) of 12,6 percent which may negatively affect Georgian exports. Additionally, it may trigger tensions given the recent history between the countries and the generally negative attitudes towards Russians in Georgia. Michal Myck, Director at CenEa, Poland, also presented migration as a key challenge. While the in- and outflow of Ukrainian refugees to Poland is today balanced, the majority of those seeking refuge in Poland are women and children and typically not included in the workforce. To ensure successful integration and to avoid massive human capital losses for Ukraine, Myck argued education is key, pointing to the lower school enrollment rates among refugee children living closer to the Ukrainian border. Apart from the challenges posed by the large influx of Ukrainian in the last year, the Polish economy is also hit by high energy prices, fuel shortages and increasing inflation. Lev Lvovskiy, Research fellow at BEROC, Belarus, painted a similar but grimmer picture of the current economic situation in Belarus. Following the invasion, all trade with Ukraine has been cut off, while trade with Russia has increased. Belarus is facing sanctions not only following the war, but also from 2020, and the country is in recession with GDP levels dropping every month since the invasion. Given the political and economic situation, the IT sector has shrunk, companies oriented towards the EU has left the country and real salaries have decreased by 5 percent. At the same time, the policy response is to introduce price controls and press banknotes.

Consequences of War: An Academic Perspective

The later part of the afternoon was kicked off by a brief overview of the FREE Network’s research initiatives on the links between war and certain development indicators. Pamela Campa, Associate Professor at SITE, presented current knowledge on the connection between war and gender, with a focus on gender-based violence. Sexual violence is highly prevalent in armed conflict and has been reported from both sides in the Donetsk and Luhansk regions since 2014 and during the ongoing war, with nearly only Russian soldiers as perpetrators. Apart from the direct threats of sexual violence during ongoing conflict and fleeing women and children risking falling victims to trafficking, intimate partner violence (IPV) has been found to increase post conflict, following increased levels of trauma and post-traumatic stress disorder (PTSD). While Ukrainian policy reforms have so far strengthened the response to domestic violence there is still a need for more effective criminalization of domestic violence, as the current limit for prosecution is 6 months from the date crime is committed. An effective transitional justice system and expertise on how to support victims of sexual violence in conflict, alongside economic safety measures undertaken to support women and children fleeing, are key policy concepts Campa argued. Coming back to the broader topic of gender and war, Campa highlighted the need for involvement of women in peace talks and negotiations, something research suggests matter for both equality, representativeness, and efficiency.

Providing insights into the relationship between the environment and war, Julius Andersson, Assistant Professor at SITE, initially summarized how climate change may cause conflict along four channels: political instability and crime rates increasing as a consequence of higher temperatures, scarcity of natural resources and environmental migration. Conflict might however also cause environmental degradation in the form of loss of biodiversity, pollution and making land uninhabitable. As for the negative impact from the war in Ukraine, Andersson highlighted how fires from the war has caused deforestation affecting the ecosystems, that rivers in conflict struck areas in Ukraine and the Sea of Azov are being polluted from wrecked industries (including the Azovstal steelworks) and lastly that there is a real threat of radiation given the four major nuclear plants in Ukraine being targeted by Russian forces. Coming back to a topic mentioned earlier during the day, Andersson also emphasized potential conflict spillovers into other parts of the world due to the war’s impact on food and fertilizer prices.

Concluding the session, Jonathan Lehne, Assistant Professor at SITE, reviewed how war and democracy is tied to one another, highlighting that while studies have found that democracies per se are not necessarily less conflict prone, it is still the case that democratic countries almost never fight each other. As for the microlevel takeaways from previous research, it appears as if individuals and communities having experienced violence and casualties actually reap a democratic dividend in some respects, such as greater voting participation. On the other hand, while areas with a large refugee influx also experience an increased voter turnout, voting for right-wing parties also increase with politicians exploiting this in their communication.

Book Launch – Reconstruction of Ukraine: Principles and Policies

The Development Day was also guested by Ilona Sologoub, Scientific Editor at VoxUkraine, Tatyana Deryugina, Associate Professor of Finance at the University of Illinois at Urbana-Champaign, and Torbjörn Becker, Director of SITE, who presented their newly released book “Reconstruction of Ukraine: Principles and policies”. Sologoub started off by giving an overview of the mainly economic topics covered in the book and pointing out that the main purpose of the book is to inform policy makers about the present situation and to suggest needed reforms and investments. Becker outlined the four key principles recommended to stem corruption during reconstruction; 1) Remove opportunities for corruption and rent extraction, 2) Focus on transparency and monitoring of the whole reconstruction effort, 3) Make information and education an integral part of the anti-corruption effort, and 4) Set up legal institutions that are trusted when corruption does occur. Deryugina focused on the energy sector and related back to what had previously been discussed throughout the day, the need to “build-back-better”. Deryugina mentioned that Ukraine, previously heavily reliant on coal and gas imports from Russia, now have the opportunity to steer away from low energy efficiency and bottleneck issues, towards becoming a European natural gas hub. The book is available for free here. There will also be a book launch on the 11th of January 2023 at Handelshögskolan.

Concluding Remarks

Via link from Kiyv, Nataliia Shapoval, Head of KSE Institute and Vice President for Policy Research at Kyiv School of Economics closed the conference by emphasizing the urgency of continued education of Ukrainians in Ukraine and elsewhere to avoid loss of Ukrainian human capital. Shapoval also stressed how universities can act as thinktanks, support policy makers in Ukraine and Europe to come up with effective sanctions against Russia and provide a deeper understanding of the current situation – a situation which will linger and in which Ukraine needs continued full support.

This year’s SITE Development Day conference gave an opportunity to discuss the need for continued support for Ukraine and the implications from the war in a global, European, and Swedish perspective. Representatives from the political, public, private and academic sectors contributed with their insights into the challenges and possibilities at hand, providing greater understanding of how the support can be sustained, with the goal of a soon end to the war and a successful rebuild of Ukraine.

List of Participants in Order of Appearance

  • Anders Olofsgård, Deputy Director at SITE
  • Sviatlana Tsikhanouskaya, Leader of the Belarusian Democratic Forces
  • Johan Forssell, Minister of Foreign Trade and International Development Cooperation
  • Andrij Plachotnjuk, Ambassador Extraordinary and Plenipotentiary of Ukraine to the Kingdom of Sweden
  • Tymofiy Mylovanov, President of the Kyiv School of Economics (on link from Kyiv)
  • Yuliya Markuts, Head of the Centre of Public Finance and Governance Analysis, Kyiv School of Economics
  • Jean-Erik de Zagon, Head of the Representation to Ukraine at the European Investment Bank
  • Cecilia Thorfinn, Team leader of the Communications Unit at the Representation of the European Commission in Sweden
  • Fredrik Löjdquist, Centre Director of the Stockholm Centre for Eastern European Studies (SCEEUS)
  • Jan Ruth, Deputy Head of the Unit for Europe and Latin America at Sida
  • Karin Kronhöffer, Director of Strategy and Communication at Swedfund
  • Andreas Flodström, CEO and founder of Beetroot
  • Chloé Le Coq, Professor of Economics, University Paris-Pantheon-Assas (CRED) & SITE
  • Lars Andersson, Senior advisor at Swedenergy
  • Pär Hermerèn, Senior advisor at Jernkontoret
  • Ilona Sologoub, VoxUkraine scientific editor (on link)
  • Tatyana Deryugina, Associate Professor of Finance at the University of Illinois at Urbana-Champaign (on link)
  • Torbjörn Becker, Director at SITE
  • Michal Myck, Director at CenEa, Poland
  • Yaroslava Babych, Lead economist at ISET Policy Institute, Georgia
  • Lev Lvovskiy, Research fellow at BEROC, Belarus
  • Pamela Campa, Associate Professor at SITE
  • Julius Andersson, Assistant Professor at SITE
  • Jonathan Lehne, Assistant Professor at SITE
  • Nataliia Shapoval, Head of KSE Institute and Vice President for Policy Research at Kyiv School of Economics (on link)

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.