Location: Eastern Europe

Environmental Policy in Eastern Europe | SITE Development Day 2021

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

Climate Policy in Russia

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

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

Figure 1. Annual greenhouse gas emissions per capita

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

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

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

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

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

Environmental Transition in Eastern Europe

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

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

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

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

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

Public Opinion and Energy Security

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

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

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

Concluding Remarks

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

List of Participants

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

Global Gender Gap in Unpaid Care: Why Domestic Work Still Remains a Woman’s Burden

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In the wake of the COVID-19 pandemic, numerous reports highlight that women have been shouldering the majority of increased domestic care duties. However, even before the pandemic, the Gender Gap Unpaid Care was already evident, with women performing more than two-thirds of unpaid domestic care work in both developing and developed countries. This persistent lack of gender parity in the distribution of domestic work is linked to significant economic inefficiencies and carries substantial social and economic consequences for women, particularly affecting their bargaining power within the household and their labor market outcomes. In this brief, the author reviews the literature on both economic and sociological factors that perpetuate this pattern of gender disparity in unpaid domestic care work, and summarizes “recognize, reduce, and redistribute” policy approaches that could help address the issue.

Country Reports

Armenia country report (EN) Armenian language version (AM)
Belarus country report (EN) Belarussian language version (BY)
Georgia country report (EN) Georgian language version (GE)
Latvia country report (EN) Latvian language version (LV)
Poland country report (EN) Polish language version (PL)
Russia country report (EN) Russian language version (RU)
Ukraine country report (EN) Ukrainian language version (UA)

Gender Gap in Unpaid Care: Why Domestic Work Still Remains a Woman’s Burden?

The realities of unpaid care and domestic work have received much attention lately in policy and academic circles, especially in light of the COVID-19 pandemic (Van Houtven et al., 2020; Craig and Churchill, 2020; Duragova, 2020). Recent surveys and reports confirm that while the unpaid household work burden increased for both genders, women around the world ended up shouldering the lions’ share of various household chores and care duties during the pandemic (UN Women, 2020). For many countries, prolonged lockdowns have put a sudden spotlight on the “hidden” side of people’s economic lives, not typically reflected in the national accounts data. Unsurprisingly, among the main issues connected with unpaid care work is the highly gendered division of labor in the “household sector” and its consequences for the emotional and economic well-being of families. In this policy brief, the author explores the current state and the evolution of gender inequalities in unpaid domestic care work worldwide, and discusses the academic literature which addresses the reasons and the consequences behind them. The author also discusses potential policy interventions which could promote greater work-life balance and help advance both social and family-level welfare.

Gender Gaps in Unpaid Care Work

The term unpaid care and domestic work appears under many terminological guises, including “unpaid care work” “unpaid household work”, “unpaid domestic care work” and others. These terms essentially refer to the same phenomenon – unpaid care activities carried out in the household. They include cooking, cleaning, washing, water and fuel collection, shopping, maintenance, household management, taking care of children and the elderly, and others (Addati et al., 2018). For the purposes of this brief I will use the terms interchangeably, relying mainly on “unpaid care”, “domestic work”, or “unpaid domestic care” to describe these activities. While the value of unpaid care work is not included in the national income accounts, it can be tracked by time-use surveys carried out by national statistical offices in many countries. According to the most recent surveys, (Charmes, 2019) more than three quarters (76.4%) of unpaid domestic care work worldwide is done by women, while 23.6% is done by men. In developed countries, the women’s share is somewhat lower (65%), while in developing and emerging economies, women perform 80.2% of unpaid care. Thus, according to the data, even in developed countries women perform around two thirds of the unpaid domestic care work. Currently, no country in the world seems to have achieved gender parity with regard to the unpaid care distribution in households (U.N. Women., 2019).

Is There Evidence of Convergence in Domestic Care Responsibilities?

Given that the first time use surveys in many countries have been conducted only relatively recently, it may be premature to make claims about changes in the distribution of domestic work and a potential closing of the gender gap. However, evidence from countries with a longer history of time use data, in particular the United States, suggests that the way mothers and fathers allocate their time between paid and unpaid work has changed dramatically between 1965 and 2011. In particular, as can be seen from the Figure 1 (from Parker and Wang, 2013), in 2011 women spent 2.6 times (13 more hours per week) more on paid work, while men spend 5 hours less than in 1965. The time spent on childcare increased for both men and women. At the same time, domestic work hours decreased significantly for women, while somewhat increasing for men.

Figure 1. Moms and Dads, the US 1965-2011: Roles Converge, but Gaps Remain

20211221 Gender Inequalities in Unpaid Work Figure 01 | Bar chart titled "Moms and Dads, the US 1965–2011: Roles Converge, but Gaps Remain" showing average weekly hours spent on paid work, housework, and childcare by mothers and fathers in 1965 and 2011, highlighting the Gender Gap in Unpaid Care.

Note: Based on adults aged 18-64 with own child(ren) under the age of 18 living in the household. Source: Parker and Wang (2013).

Overall, analysis of time use survey data over a 40-year span shows a degree of convergence in unpaid care work between men and women (Kan et al., 2011; Altintas and Sullivan, 2016). However, as the Kan et al. (2011) study shows, gender inequality is quite persistent over time. In particular, men concentrate their contribution in domestic work to non-routine tasks (i.e. tasks that generally require less time, have definable boundaries and allow greater discretion around the timing of performance than the more routine tasks) such as shopping and domestic travel, while women devote a bulk of their time to routine work (cooking, cleaning, care). Women’s reduction in domestic work time (especially in routine tasks) may be largely due to the advancement of household technologies and higher acceptance/demand for women’s participation in the labor market (Gershuny, 1983, 2004). Thus, it appears that the “low-hanging fruit” of gender equality within households has already been picked, and, going forward, further shifting of domestic care responsibilities will be a more difficult task, even in developed countries.

Factors That Perpetuate Unpaid Domestic Care as Primarily Women’s Responsibility

The factors responsible for perpetuating gender roles in domestic work can be grouped into economic (specialization, comparative advantage) and sociological (habits, traditions, social perceptions) aspects.

The economic arguments that have long been used to explain the unequal division of paid and unpaid care work rely on the theory of comparative advantage and gains from specialization. Starting from the seminal work of Becker (Becker, 1985), economic models of the family suggested that a division of labor within the household is driven by different experiences and choices to invest in human capital. Becker argued that efficient households require specialization and the pattern of specialization can be explained at least in part by the differences in the initial investment in human capital (market skills for men and household skills for women) (Becker, 2009). In this model, men’s advantage in paid market activities is explained by historical reasons stemming in part from the more physical nature of market work. And yet, contemporary authors point out that the nature of work has been changing over time, with less emphasis put on physical, and more on cognitive skills. Likewise, the nature of household production has been changing (Greenwood et al., 2017). Birth control gave families a better way to control the number of children (Juhn and McCue, 2017). These changes should make men and women’s productivity more equal, and consequently reduce the gender gap between men and women in both types of work. And yet, despite the fact that in developed countries women often achieve higher educational attainment then men (Goldin, Katz and Kuziemko 2006; Murphy and Topel, 2014), it has not been enough to eliminate the gender gap in wages and in the division of unpaid domestic work. Moreover, as the study based on 1992 Canadian data by McFarlane et al. (2000) points out, while the wife’s time in housework increases when the husband spends more time in paid work, the opposite is not necessarily true for men (men do not spend significantly more time on household tasks when their wives increase their employment). Alonso et al., 2019, using a sample of 18 advanced and emerging market economies, find that various factors which determine the allocation of time between paid and unpaid work affect men and women asymmetrically. For example, being employed part time vs. full time considerably increases the participation in unpaid work for women, while for men the same increase is statistically insignificant.

Thus, a purely “pragmatic” economic argument for the household division of labor is not sufficient to explain the persistence of the unpaid care gender gap. Other sociological factors, such as gender roles determined by social attitudes and cultural norms, tend to play an important role in household labor division (Coltrane, 2000; Juhn and McCue, 2017). Moreover, one can argue that educational choices of women, which contribute to their “comparative advantage” in household production, are themselves not independent of cultural norms and attitudes. These choices tend to be shaped in early childhood and reflect how much a family would invest in/encourage a girl’s education vs. that of a boy; whether boys are engaged in certain household chores – cooking, cleaning, caring for young children, etc. (UNDP, 2020). For example, the high gender gap in unpaid domestic work in the South Caucasus can be traced to family patterns. According to survey data (CRRC, 2015) in Azerbaijan, around 96% percent of women were taught in childhood how to cook, clean the house or do laundry, while only 35% of men were taught how to cook and clean. In Georgia, close to 90% of women reported being taught how to cook, clean and do laundry, while less than 30% of men on average reported being taught these skills (UNFPA, 2014).

The Social Cost of Gender Inequality in the Unpaid Care Work Allocation

Gender inequality is not just an issue of fairness. Inequality results in considerable resource misallocation, where women’s productive potential is not fully realized. The study by Alonso et al., 2019 estimates the GDP gains associated with a potential reduction in gender inequality in domestic work to the level observed currently in Norway. Countries like Pakistan and Japan, where the initial gender gap is quite sizeable, would gain around 3 to 4 percent of GDP. Another source of inefficiency is occupational downgrading, a situation where women take jobs below their level of qualification (Connolly and Gregory, 2007; Garnero et al., 2013) in order to better balance their home and work responsibilities. The perception of women as being primarily responsible for childcare and domestic labor drives statistical discrimination in the workplace and affects the “unexplained” portion of the gender pay gap (Blau and Kahn, 2017). The pay gap, in turn, perpetuates inequality in the division of domestic labor. Moreover, perception of unequal domestic work allocation is found to be associated with lower relationship satisfaction, depression, and divorce (Ruppaner et al, 2017). In addition, earlier sociological studies found that inequity in the distribution, rather than the amount of work, causes greater psychological distress (Bird, 1999).

Policies to Address the Gender Gap

Given the sizeable economic and social costs associated with the gender gap in unpaid care work, policy makers are paying greater attention to gender equality and ways to promote work-life balance for men and women. Currently, most solutions center around “recognize, reduce and redistribute” types of policies (Elson, 2017).

The “recognize” policies acknowledge the value of unpaid care work done by women through cash payments linked to raising young children (i.e. maternity leave policies). Most countries in the world adopt publicly funded paid maternity leave policies, although the adequacy of maternity leave payments and the duration of such leaves is still a stumbling block for many countries (Addati et al., 2014). Data suggests that maternity leave of no longer than 12 months has a positive effect on maternal employment, while long leaves (over two years) increase career costs for women (Kunze, 2016; Ruhm, 1998; Kleven et al., 2019)

The “reduce” policies, aim at the provision of public services that would reduce the burden of childcare and other forms of unpaid work on women and free up their time for participation in the labor force. Among such policies are investments in publicly funded childcare services (quality pre-schools and kindergartens) and physical infrastructure to support the provision of clean water, sanitation, energy, and public transport. Empirical studies generally find a positive effect of affordable childcare on female employment rates (Vuri, 2016; Lefebvre et al., 2009;  Geyer et al., 2014), but with some caveats – in particular, the subsidies may be less effective for female labor supply if affordable childcare just crowds out other forms of non-parental care (such as informal help from family members) (Vuri, 2016; Havnes and Mogstad, 2011).

Finally, the “redistribute” policies aim to promote the redistribution of household chores and childcare among men and women. Among such policies are initiatives aimed at making flexible and reduced-hour work arrangement attractive and equally available for men and women. (e.g. shifting standard weekly hours to a more family friendly 35 hours per week, as for example in France); active labor market programs aimed at retaining women in the labor market can also help reduce hours devoted to unpaid work (Alonso et al. 2019). Moreover, better labor market regulations (e.g. legislation to regulate vacation time, maximum work hours, etc.) would discourage the long working hours and the breadwinner-caretaker gendered specialization patterns within families (Hook, 2006). Other examples include work-life balance policies recently adopted by the EU (EU Directive 2019/1158), and are aimed at providing paid paternity leave and reserving non-transferrable portions of family childcare leave for men. These policies were found to be effective for both increasing father’s participation in unpaid care and for reducing the gender wage gap within families in a number of country studies (Fernández-Cornejo et al., 2018; Andersen, 2018).

It is important to recognize that more research is needed to identify exactly how and why specific policies may benefit families, and to adapt them to the specific country context. While many of the policies outlined above will not solve the problem of the gender gap overnight, they can be an important first step towards greater global gender equality in the workplace and inside the household.

About FROGEE Policy Briefs

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

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

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

Development Day 2021: Environmental Policy in Eastern Europe

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This year’s SITE Development Day conference will focus on environmental policy in Eastern Europe, with a particular emphasis on global warming, energy transformation, and energy security.

Twin Challenge and Unprecedented Urgency

Increased awareness and sense of emergency around the challenge of global warming is reflected in events such as the UN Climate Change Conference UK 2021 (Cop26). Yet, the Intergovernmental Panel on Climate Change (IPCC) and other experts have highlighted that the current commitments made by governments around the globe to reduce their carbon footprint fall far short of the goal of an increase in the temperature no more than 1.5, and even 2 degrees. Current policies and planned future investment plans suggest that not even these commitments will be met in most countries, creating a twin challenge in formulating more ambitious goals, and making sure to credibly commit to them. The fact that some world leaders have decided not to attend the Cop26 conference, including the Russian president, is therefore quite disheartening.

Focus on Environmental Policy in Eastern Europe

Against this background, in this year’s Development Day conference, we will discuss environmental policy in Eastern Europe, with a particular emphasis on global warming and energy transformation and security. Russia, being one of the biggest producers and exporters of fossil fuels, will be in particular focus, but we will also talk about Poland, Belarus, Georgia, Bosnia-Hercegovina and other countries in the region.

Date and time

As in previous years we will bring together international and Swedish experts with representatives of the public and private sectors and civil society. The event will be held online and open to the public through digital channels. The date is December 8, 2021, and is preliminarily planned from 9.30-15.15.

Program

The full conference program will be announced in the upcoming week.

Register here

RSVP: No later than November 30, 23:59 CET Stockholm time.

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.

Vaccination Progress and the Opening Up of Economies

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In this brief, we report on the FREE network webinar on the state of vaccinations and the challenges ahead for opening up economies while containing the pandemic, held on June 22, 2021. The current state of the pandemic in each respective country was presented, suggesting that infection rates have gone down quite substantially recently in all countries of the network, except in Russia which is currently facing a surge in infections driven by the delta-version of the virus. Vaccination progress is very uneven, limited by lacking access to vaccines (primarily Ukraine and Georgia) and vaccine scepticism among the population (primarily in Russia and Belarus but for certain groups also in Latvia, Poland and to some extent Sweden). This also creates challenges for governments eager to open their societies to benefit their economies and ease the social consequences of the restrictions on mobility and social gatherings. Finally, the medium to long term consequences for labour markets reveal challenges but also potential opportunities through wider availability of workfrom-home policies. 

Background

In many countries in Europe, citizens and governments are starting to see an end to the most intense impact of the Covid-19 pandemic on their societies. Infection and death rates are coming down and governments are starting to put in place policies for a gradual opening up of societies, as reflected in the Covid-19 stringency index developed by Oxford University. These developments are partially seasonal, but also largely a function of the progress of vaccination programs reaching an increasing share of the adult population. These developments, though, are taking place to different degrees and at different pace across countries.  This is very evident at a global level, but also within Europe and among the countries represented in the FREE network. This has implications for the development within Europe as a whole, but also for the persistent inequalities we see across countries.   

Short overview of the current situation

The current epidemiological situation in Latvia, Sweden, Ukraine, and Georgia looks pretty similar in terms of Covid-19 cases and deaths but when it comes to the vaccination status there is substantial variation.

Latvia experienced a somewhat weaker third wave in the spring of 2021 after being hit badly in the second wave during the fall and winter of 2020 (see Figure 1). The Latvian government started vaccinating at the beginning of 2021, and by early June, 26% of the Latvian population had been fully vaccinated.

Sweden, that chose a somewhat controversial strategy to the pandemic built on individual responsibility, had reached almost 15 thousand Covid-19 deaths by the end of June of 2021, the second highest among the FREE network member countries relative to population size. The spread of the pandemic has slowed down substantially, though, during the early summer, and the percentage of fully vaccinated is about to reach 30% of the population.

Figure 1. Cumulative Covid-19 deaths 

Source: Aggregated data sources from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, compiled by Our World in Data.

Following a severe second wave, the number of infected in Ukraine started to go down in the winter of 2020, with the total deaths settling at about 27 thousand in the month of February. Then the third wave hit in the spring, but the number of new daily cases has decreased again and is currently three times lower than at the beginning of the lastwave. However, a large part of the reduction is likely not thanks to successful epidemiological policies but rather due to low detection rates and seasonal variation

In June 2021, Georgia faces a similar situation as Ukraine and Latvia, with the number of cumulative Covid-19 deaths per million inhabitants reaching around 1300 (in total 2500 people) following a rather detrimental spring 2021 wave. At the moment, both Georgia and Ukraine have very low vaccination coverage relative to other countries in the region(see Figure 5).

In contrast to the above countries, Russia started vaccinating early. Unfortunately, the country is now experiencing an increase in the number of cases (as can be seen in Figure 2), contrary to most other countries in the region. This negative development is likely due to the fact that the new Covid-19 delta variant is spreading in the country, particularly in Moscow and St. Petersburg. Despite the early start to vaccinations, though, the total number of vaccinated people remains low, only reaching 10.5% of the population.

Figure 2. New Covid-19 cases

Source: Aggregated data sources from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, compiled by Our World in Data.

In some ways similar to Sweden, the government of Belarus did not impose any formal restrictions on individuals’ mobility. According to the official statistics, in the month of June, the rise in the cumulative number of covid-19 deaths and new daily infections has declined rapidly and reached about 400 deceased and 800 infections per one million inhabitants, respectively. Vaccination goes slowly, and by now, around 8% of the population has gotten the first dose and 5% have received the second.

There were two major waves in Poland during the autumn 2020 and spring 2021. In the latter period, the country experienced a vast number of deaths.  As can be seen in Figure 3, the excess mortality P-score – the percentage difference between the weekly number of deaths in 2020-2021 and the average number of deaths over the years 2015-2019 – peaked in November 2020, reaching approximately 115%. The excess deaths numbers in Poland were also the highest among the FREE Network countries in the Spring of 2021, culminating at about 70% higher compared to the baseline. By mid-June, the number of deaths and cases have steeply declined and 36% of the country’s population is fully vaccinated.

Figure 3. Excess deaths

Turning to the economy, after a devastating year, almost all countries are expected to bounce back by the end of 2021 according to the IMF (see Figure 4). Much of these predictions build on the expectations that governments across the region will lift Covid-19 restrictions. These forecasts may not be unrealistic for the countries where vaccinations have come relatively far and restrictions have started to ease. However, for countries where vaccination rates remain low and new variations of the virus is spreading, the downside risk is still very present, and forecasts contain much uncertainty.

 Figure 4. GDP-growth

Vaccination challenges

Since immunization plays such a central role in re-opening the economy and society going back to normal, issues related to vaccinations were an important and recurring topic at the event. The variation in progress and speed is substantial across the countries, though.

Ukraine and Georgia are still facing big challenges with vaccine availability and have fully vaccinated only 1.3% and 2.3% of the population by the end of June, respectively. Vaccination rates have in the recent month started to pick up, but both countries face an uphill battle before reaching levels close to the more successful countries.

Figure 5. Percent fully vaccinated

Other countries a bit further ahead in the vaccine race are still facing difficulties in increasing the vaccination coverage, though not so much due to lack of availability but instead because of vaccine skepticism. In Belarus, a country that initially had bottleneck issues similar to Ukraine and Georgia, all citizens have the opportunity to get vaccinated. However, Lev Lvovskiy, Senior Research Fellow at BEROC in Belarus, argued that vaccination rates are still low largely because many Belarusians feel reluctant towards the vaccine at offer (Sputnik V).

This vaccination scepticism turns out to be a common theme in many countries. According to different survey results presented by the participants at the webinar, the percentage of people willing or planning to get vaccinated is 30% in Belarus and 44% in Russia. In Latvia, this number also varies significantly across different groups as vaccination rates are significantly lower among older age cohorts and in regions with a higher share of Russian-speaking residents, according to Sergejs Gubins, Research Fellow at BICEPS in Latvia.

Webinar participants discussed potential solutions to these issues. First, there seemed to be consensus that offering people the opportunity to choose which vaccine they get will likely be effective in increasing the uptake rate. Second, governments need to improve their communication regarding the benefits of vaccinations to the public. Several countries in the region, such as Poland and Belarus, have had statements made by officials that deviate from one another, potentially harming the government’s credibility with regards to vaccine recommendations. In Belarus, there have even been government sponsored disinformation campaigns against particular vaccines. In Latvia, the main problem is rather the need to reach and convince groups who are generally more reluctant to get vaccinated. Iurii Ganychenko, Senior Researcher at KSE in Ukraine, exemplified how Ukraine has attempted to overcome this problem by launching campaigns specifically designed to persuade certain age cohorts to get vaccinated. Natalya Volchkova, Director of CEFIR at NES in Russia, argued that new, more modern channels of information, such as professional influencers, need to be explored and that the current model of information delivery is not working.

Giorgi Papava, Lead Economist at ISET PI in Georgia, suggested that researchers can contribute to solving vaccine uptake issues by studying incentive mechanisms such as monetary rewards for those taking the vaccine, for instance in the form of lottery tickets. 

Labour markets looking forward

Participants at the webinar also discussed how the pandemic has affected labour markets and whether its consequences will bring about any long-term changes.

Regarding unemployment statistics, Michal Myck, the Director of CenEA in Poland, made the important point that some of the relatively low unemployment numbers that we have seen in the region during this pandemic are misleading. This is because the traditional definition of being unemployed implies that an individual is actively searching for work, and lockdowns and other mobility restrictions have limited this possibility. Official data on unemployment thus underestimates the drop in employment that has happened, as those losing their jobs in many cases have left the labour market altogether. We thus need to see how labor markets will develop in the next couple of months as economies open up to give a more precise verdict.

Jesper Roine, Professor at SITE in Sweden, stressed that unemployment will be the biggest challenge for Sweden since its economy depends on high labor force participation and high employment rates. He explained that the pandemic and economic crisis has disproportionately affected the labor market status of certain groups. Foreign-born and young people, two groups with relatively high unemployment rates already prior to the pandemic, have become unemployed to an even greater extent. Many are worried that these groups will face issues with re-entering the labour market as in particular long-term unemployment has increased. At the same time, there have been more positive discussions about structural changes to the labour market following the pandemic. Particularly how more employers will allow for distance work, a step already confirmed by several large Swedish firms for instance.

In Russia, a country with a labour market that allowed for very little distance work before the pandemic, similar discussions are now taking place. Natalya Volchkova reported that, in Russia, the number of vacancies which assumed distance-work increased by 10% each month starting from last year, according to one of Russia’s leading job-search platforms HeadHunter. These developments could be particularly beneficial for the regional development in Russia, as firms in more remote regions can hire workers living in other parts of the country.

Concluding Remarks

It has been over a year since the Covid-19 virus was declared a pandemic by the World Health Organization. This webinar highlighted that, though vaccination campaigns in principle have been rolled out across the region, their reach varies greatly, and countries are facing different challenges of re-opening and recovering from the pandemic recession. Ukraine and Georgia have gotten a very slow start to their vaccination effort due to a combination of lack of access to vaccines and vaccine skepticism. Countries like Belarus and Latvia have had better access to vaccines but are suffering from widespread vaccine skepticism, in particular in some segments of the population and to certain vaccines. Russia, which is also dealing with a broad reluctance towards vaccines, is on top of that dealing with a surge in infections caused by the delta-version of the virus.

IMF Economic Outlook suggests that most economies in the region are expected to bounce back in their GDP growth in 2021. While this positive prognosis is encouraging, the webinar reminded us that there is a great deal of uncertainty remaining not only from an epidemiological perspective but also in terms of the medium to long-term economic consequences of the pandemic.

Participants

  • Iurii Ganychenko, Senior Researcher at Kyiv School of Economics (KSE/Ukraine)
  • Sergejs Gubins, Research Fellow at the Baltic International Centre for Economic Policy Studies (BICEPS/ Latvia)
  • Natalya Volchkova, Director of the Centre for Economic and Financial Research at New Economic School (CEFIR at NES/ Russia)
  • Giorgi Papava, Lead Economist at the ISET Policy Institute (ISET PI/ Georgia)
  • Lev Lvovskiy, Senior Research Fellow at the Belarusian Economic Research and Outreach Center (BEROC/ Belarus)
  • Jesper Roine, Professor at the Stockholm Institute of Transition Economics (SITE / Sweden)
  • Michal Myck, Director of the Centre for Economic Analysis (CenEA / Poland)
  • Anders Olofsgård, Deputy Director of SITE and Associate Professor at the Stockholm School of Economics (SITE / Sweden)

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.

Strategies to Opening up After the Pandemic

20210622 Reopening Soon Webinar FREE Network Webinar Image 01

The Stockholm Institute of Transition Economics (SITE) in collaboration with the FREE Network is delighted to invite you to a webinar to share insights and knowledge on different strategies implemented in vaccination, opening up the borders and the socioeconomic aspects within Sweden, Eastern Europe and the Baltic Sea region, and the Caucasus region.

Since vaccination has started across all over the world, it is vital to reflect upon the road map different countries have chosen to open up societies and economies. How will countries in Eastern Europe and the Baltic Sea region, and the Caucasus region handle the opening of their respective borders and what lies next in line to go back to a pre-pandemic societal routine?

Register

  • RSVP: Monday, June 21, 2021, 23:59 (CET, Sweden).
  • Location: Online. A link to the webinar will be sent to you 4-5 hours ahead of the start of the webinar.
  • Registration: Please register via the Eventbrite platform (see here).

Agenda

The webinar is part of a series of online discussions aiming to provide regional overview updates as well as in-depth analysis of specific topics related to the COVID-19 pandemic. Since the FREE Network includes research and policy institutes in Belarus (BEROC)Latvia (BICEPS)Russia (CEFIR at NES)Poland (CenEA)Georgia (ISET PI)Ukraine (KSE) and Sweden (SITE) the upcoming webinar will provide a comprehensive regional perspective on different strategies implemented in vaccination, opening up the borders and the socio-economic aspect. Learn more about the different strategies in FREE Network countries and ask questions directly to distinguished panelists and experts.

Speakers

  • Jesper Roine, Professor at the Stockholm Institute of Transition Economics (SITE/ Sweden)
  • Iurii Ganychenko, Senior researcher at Kyiv School of Economics (KSE/Ukraine)
  • Lev Lvovskiy, Senior Research Fellow at the Belarusian Economic Research and Outreach Center (BEROC/ Belarus)
  • Michal MyckDirector of the Centre for Economic Analysis (CenEA/ Poland)
  • Natalya Volchkova, Director of the Centre for Economic and Financial Research at New Economic School (CEFIR at NES/ Russia)
  • Sergejs Gubins, Research Fellow at the Baltic International Centre for Economic Policy Studies (BICEPS/ Latvia)
  • Giorgi Papava, Lead Economist at ISET Policy Institute (ISET PI/ Georgia)

Chair/Moderator

    • Anders Olofsgård, Deputy Director of the Stockholm Institute of Transition Economics (SITE) and Associate Professor at the Stockholm School of Economics (SSE)

Green Concerns and Salience of Environmental Issues in Eastern Europe

Flooded street in Germany representing climate change risk perceptions

Changes in individual behavior are an essential component of the planet’s effort to reduce carbon emissions. But such changes would not be possible without individuals acknowledging the threat of anthropogenic climate change. This brief discusses the climate change risk perceptions across Europe. We show that people in Eastern Europe are, on average, less concerned about climate change than those in Western Europe. Using detailed survey data, we find evidence that the personal experience of extreme weather events is a key driver of green concern, and even more so in the non-EU Eastern part of Europe. We argue that this association might be explained by the relatively low quality and informativeness of public messages concerning global warming in this part of Europe. If information is scarce or perceived as biased, personal experience will resonate more.

Introduction

Climate change is one of the main threats to humanity. Tackling it entails a combined effort from all parts of society, from regulatory changes and industries adopting new greener business models to consumers adjusting their behavior. While an individual’s contribution to climate change may appear insignificant, research shows that the aggregate effect of mobilizing already known changes in consumer behavior may allow the European Union (EU) to reduce its carbon footprint by about 25% (Moran et al., 2020).

However, the first step for people to adjust their consumption patterns is to acknowledge the threat of anthropogenic climate change. Public ignorance about climate change’s impacts remains high across the world. Furthermore, citizens of more polluting countries are often relatively less concerned about climate change. This lack of awareness is not well-understood, in part due to the multi-dimensional local factors affecting it (Farrell et al., 2019).

This brief discusses the potential drivers of climate risk perceptions, focusing on the differences between Western Europe, Eastern European states that are part of the EU, and non-EU Eastern European countries. We first present the climate change concerns across these regions. We then discuss to which extent the country’s pollution exposure measures and individuals’ socio-economic characteristics can explain these differences. We show that the personal experience of extreme weather events is a key driver of green concern, and even more so in the non-EU part of Eastern Europe. We relate this result to the relatively low salience and informativeness of public messages concerning climate in this part of Europe and discuss potential policy implications.

Green Concerns and Pollution Exposure Across Europe

Figure 1 compares, across Europe, the share of poll respondents who see climate change as a major threat, based on the data from the Lloyd’s Register Foundation World Risk Poll 2020.  While there is a significant variation in climate risk perception within each region, respondents in Eastern Europe are, on average, less concerned about climate change than those in Western Europe. We observe a similar pattern between the EU and non-EU parts of Eastern Europe. 

Exposure to pollution does not seem to clearly explain these differences. Moreover, the patterns of correlation between climate concern and pollution differ across regions and measures of pollution exposure. The left panel of Figure 2 presents averages across the regions for two pollution measures: carbon emissions (which is, perhaps, reflecting climate threat in general) and air quality (which is more directly associated with health risks). We can see that CO2 emissions are the highest in the non-EU part of Eastern Europe, the least environmentally concerned region. Still, the EU part of Eastern Europe has the lowest average emissions per capita across the three regions (this ranking likely results from the interaction between reliance on fossil fuels, industrial structure, and level of development across the three regions). At the same time, when it comes to the average air quality (measured as the percentage of population exposed to at least 10 micrograms of PM2.5/m3), the non-EU EasternEuropean region is doing better than its EU counterpart, which is more climate concerned. Here, better average air quality in the non-EU Eastern European region is due to its relatively low population density, and consequently, low PM2.5 exposure in large parts of Russia. (See, more on the air quality gap within the EU in Lehne, 2021).

Figure 1: Climate concerns in Eastern and Western Europe

Source: Authors’ calculations based on Lloyd’s Register Foundation World Risk Poll 2020, question 5 “Do you think that climate change is a very serious threat, a somewhat serious threat, or not a threat at all to the people in this country in the next 20 years?”. Averages are calculated with population-representative weights.

The right panel of Figure 2 shows correlations between (country-level) climate concerns and pollution. For CO2, the correlation is negative in all three regions, suggesting that, within each region, more emitting countries are less concerned. This negative correlation, however, is the strongest in the EU-part of Eastern Europe and almost absent in the non-EU part. The differences between the regions are even more striking for the correlation between climate concerns and air quality: both in Western Europe and in the EU part of Eastern Europe, citizens of countries with worse air quality are more concerned about climate change. However, in non-EU Eastern Europe, the relation is the exact opposite: lower concerns about climate change go hand-in-hand with worse quality of air.

Figure 2: Emissions vs. Climate concerns in Eastern and Western Europe, 2018

Source: Authors’ calculations based on www.climatewatchdata.org, OECD and World Risk Poll 2020. The climate concern variable is a country-level weighted average of answers “Very high risk” to the World Risk Poll 2020 question 5, see note to Figure 1.

Green Concerns and Socio-economic Characteristics

Lower climate concerns in EU-part of the Eastern bloc have been documented before; they are often explained by the Eastern-European economies’ high reliance on coal and other fossil fuels, low-income levels, and other immediate problems that lower the priority of climate issues (e.g., Lorenzoni and Pidgeon 2006, Poortinga et al., 2018, or Marquart-Pyatt et al., 2019). Additionally, the literature suggests that climate beliefs are linked to individuals’ socio-economic characteristics, such as level of education, income, or gender (see, e.g., Poortinga, 2019), which may be different across the regions.

However, the regional differences in climate beliefs also persist when we use individual-level data and control for respondents’ individual characteristics, as well as for country-level variables, such as GDP per capita, oil, gas, and coal dependence of the economies, and exposure to emissions (at the country level, as our individual data does not have this information). This is illustrated in Column 1 of Table 1.

Table 1: Climate change beliefs determinants, individual-level cross-section data.

Source: This is an outcome of logistic regression. Experience =1 if the respondent answered “yes” to the World Risk Poll 2020 question L8D “Have you or someone you personally know, experienced serious harm from severe weather events, such as floods or violent storms in the past TWO years?” Media Freedom is based on 2018 Freedom House data, and scores media between 0 (worst) and 4 (best). Controls include age, gender, education, personal feelings about household income, income quantile, urban/rural, size of household, number of children under 15, las well as log of GDP per capita, log of CO2 per capita, mean exposure to PM2.5, and oil, gas and coal rents as a share of GDP. Robust standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1

In what follows, we explore another key driver, the personal experience of extreme weather events. While there is a sizable literature on the effect of experience on climate beliefs, that factor was never, to our knowledge, considered to understand the difference in climate risk perception between the EU- and non-EU parts of Eastern Europe.  

Green Concern and Salience of Environmental Issues

In line with the recent climate risk perceptions literature (e.g., Van der Linden, 2015), we show that personal experience increases the likelihood of considering climate change as a major threat across all three regions (see column 2 in Table 1). The association is stronger in the EU part of Eastern Europe and even more so in the non-EU part (even if the difference between the last two is not statistically significant). This finding is confirmed when we control for (observable and unobservable) country-specific effects, such as social norms, via the inclusion of country-level fixed effects. In this case, extreme weather events make respondents more climate-conscious within each country (Column 3 of Table 1). In this specification, the effect differs statistically between the two groups of Eastern-European countries, even if only at a 10% significance level. To put it differently, the impact of personal experience with extreme weather events seems to close a sizable part of the gap in climate risk perceptions across the regions and more so in the non-EU part of Eastern Europe.

Our preferred explanation for this finding is that personal experience resonates with the quality and informativeness of public messages concerning global warming. If information is scarce or perceived as biased, personal experience will resonate more. The low political salience of environmental issues in Eastern Europe, inherited from its Soviet past (McCright, 2015), and lower media quality in Eastern Europe (see e.g., Zuang, 2021) are likely to affect the quality of public discourse concerning the risks of climate change, and, consequently, the information available to individuals.

The climate-related legislative effort across Eastern Europe reflects the low political importance of climate change in the region. According to the data from Grantham Research Institute on Climate Change and the Environment, non-EU transition countries, on average, have adopted 8 climate-related laws and policies, while the corresponding figure is 11.5 for EU transition countries and 18 for the countries in Western Europe. Further, Figure 3 shows a positive correlation between climate change concerns and the number of climate-related laws for Western Europe and the EU-part of Eastern Europe but a negative one for the non-EU part of Eastern Europe and Caucasus countries. One possible interpretation of these differences is that climate change is relatively low on the political agenda of (populist) regimes in the non-EU part of Eastern Europe, as climate-related legislative activity (proxied by, admittedly rough, a measure of the number of laws) does not reflect the intensity of population climate preferences.

Figure 3: Climate concern vs. Climate legislation

Source: Authors’ calculations based on climate legislation data from Grantham Research Institute on Climate Change and the Environment, and World Risk Poll 2020

Regarding the influence of media quality, column (4) of Table 1 shows that the effect of personal experience on climate change concern is negatively correlated with media freedom. One interpretation could be that individuals in countries with freer media infer less from their extreme weather experience because more accurate media coverage about climate risks improves the population’s knowledge on the issue.

Of course, the causality of the climate belief-experience relationship could also go in the other direction – people who are more concerned about climate change could be more likely to interpret their personal experience as weather-related extreme events. It is impossible to distinguish with the data at hand. However, Myers et al. (2013) show that both channels are present in the US, and the former channel dominates for the people less engaged in the climate issue. Stretching this finding to the Eastern Europe case, we argue that more precise information on the importance of climate change may partially have the same effect as experience – i.e., it will increase people’s awareness and concern about the consequences of global warming.

Conclusion

This brief addresses the differences in climate change beliefs between Eastern and Western Europe, as well as within Eastern Europe. It discusses the determinants of these differences and stresses the importance of personal experience, especially in the non-EU part of Eastern Europe. It relates this finding to the relatively low accuracy of information and quality of public discourse about climate change in the region.

We know already that tackling climate change requires reliable and accurate sources of information. This is especially crucial given what we outline in this brief. This issue resonates with the current social science analysis of the diffusion of climate change denial (see e.g., Farell et al., 2019, on the significant organized effort in spreading misinformation about climate change). Such contrarian information that relays uncertainty and doubt regarding the severity of the global climate change threat could have a severe impact, especially in situations with low political salience of climate change, like in non-EU Eastern Europe. A significant effort of both governments and civil society is needed to provide adequate information and mobilize the population in our common fight against climate change.

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.

Jurisdictional Competition for FDI in Developing and Developed Countries

20210531 Jurisdictional Competition FREE Network Image 01

This brief is based on research studying jurisdictional competition between countries and its influence on the inflow of foreign direct investments (FDI). The study compares jurisdictional competition among the developing Central and Eastern European (CEE) countries with competition among developed EU countries. As instruments of jurisdictional competition for FDI, we consider governments’ efforts to improve the rule of law, corporate governance, and tax policies. The results suggest the presence of proactive jurisdictional competition via the quality of corporate governance regulation both in the CEE and the EU countries. The CEE states also attract FDI by competing in tax policies.

Introduction

The determinants of FDI inflows have been examined in numerous studies. A substantial number of them consider the influence of institutions, which are defined as particular organizational entities, procedural devices, and regulatory frameworks (IMF, 2003).

The quality of institutions is a particularly important FDI determinant for less-developed countries because the poor institutional quality and weak law enforcement increase the costs of running a business, create barriers for financial market efficiency, and increase the probability of foreign assets expropriation (Blonigen, 2005).

However, governments interested in attracting FDI to boost job creation, new technologies, and tax revenues to their countries are not only concerned about the internal institutional environment. They are also competing with other countries in attracting foreign investments, engaging in what is often referred to as “jurisdictional competition”. In a broad sense,  this can be thought of as governments’ efforts to outcompete one another in offering foreign companies more favorable institutional and fiscal conditions for capital placements.

This brief summarizes the results of a study on the jurisdictional competition for FDI among the developing CEE and among developed EU countries (Mazol and Mazol, 2021). The research explores the precondition for proactive jurisdictional competition between economies for FDI – namely, how the economic and institutional environment within a country impacts the inflow of FDI both domestically and to its neighboring states, – by using a spatial econometric approach. The brief emphasizes the difference in the FDI policy responses implemented by developing CEE and developed EU countries.

Data and Methodology

In our econometric analysis, we use the FDI inward stock (i.e., the value of capital and reserves in the economy attributable to a parent enterprise resident in a different economy) as the dependent variable. The explanatory variables indicating jurisdictional competition include quality of corporate governance, rule of law, political stability, and tax policy. We employ balanced panel datasets for 26 developing CEE countries and 15 developed EU countries for the period 2006-2018. The dataset is derived from the World Bank and UNCTAD databases.

The analysis is based on a panel spatial Durbin error model (SDEM) with fixed effects (LeSage, 2014). Parameter estimates in the SDEM contain a range of information on the relationships between spatial units (in our case, countries). A change in a single observation associated with any given explanatory variable will affect the spatial unit itself (a direct effect) and potentially affect all other spatial units indirectly (a spillover effect) (Elhorst, 2014). The spatial spillover effect is viewed here as the impact of the change in the institutional or economic factor in one country on the performance of other economies (LeSage & Pace, 2009).

In our case, the direct effect is the effect on the FDI in country i of the changes in the studied instrument of jurisdictional competition in country i. The spillover effect is the change in FDI in country j following a change in the studied instrument of jurisdictional competition in country i.

Results

The results of our estimation are suggestive of a proactive jurisdictional competition in taxes among the CEE countries and in corporate governance quality both among the CEE and EU countries. Analyses of other factors (i.e., political stability and rule of law) show no significant interrelation between policy measures implemented by neighboring countries in order to attract FDI.

The precondition for the presence of proactive jurisdictional competition in a particular factor is to have statistical significance in both its direct and spillover effects (Elhorst and Freret, 2009). Such findings may indicate that policy measures in one economy trigger a policy response in a neighboring economy, which, in turn, influences the level of FDI in both countries.

Table 1. Estimation results of SDEM models – direct effects

Notes: *** – significance at 1% level, **  – significance at 5% level, *  – significance at 10% level. ln – denotes the logarithm of the underlying variable. lagt – denotes lagged underlying variable by one period (year) in time. Values of t statistics in parenthesis. CEE countries: Albania, Armenia, Azerbaijan, Belarus, Estonia, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Georgia, Hungary, Kazakhstan, Kyrgyz Republic, Latvia, Lithuania, Macedonia, Moldova, Poland, Romania, Russia, Serbia, Slovakia, Slovenia, Tajikistan, Ukraine, Uzbekistan. EU countries: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Italy, Luxembourg, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland. Source: Author’s estimates based on World Bank and UNCTAD databases.

Our results for the direct and indirect response to a tax policy in CEE countries illustrate this logic. Decreasing tax_rateincreases FDI to the CEE economy enacting this change (see Table 1), as well as to its neighboring countries (see Table 2). This finding is consistent with jurisdictional competition in taxes. That is, a reduction in domestic tax_rate may entail a decrease in the tax rate of a neighboring economy, resulting in a subsequent increase in FDI. (To explicitly confirm the suggested channel, further tax policy analysis would be needed). Interestingly, our results suggest that jurisdictional competition in taxes is only present among CEE economies, but not among EU countries.

In turn, an increase in corp_governance, a measure of corporate governance quality, increases FDI in neighboring countries both in the EU and in the CEE region (see Table 2).  A possible interpretation is that an increase in corp_governance in one country may entail an increase in corp_governance in its neighboring economies, resulting in a subsequent increase in FDI.  This result suggests proactive competition via corporate governance policy both among the EU countries and the CEE countries.

However, the direct effect differs between the regions. In the EU, an increase in corp_governance increases FDI to the EU economy in question, in line with common wisdom (see Table 1). At the same time, in the CEE region, an increase in corp_governance is followed by a decrease in FDI to that country.

Table 2. Estimation results of SDEM models – spillover effects

Notes: ***  – significance at 1% level, **  – significance at 5% level, *  – significance at 10% level. ln – denotes the logarithm of the underlying variable. Values of t statistics in parenthesis. lagt_lags – denotes spatially lagged underlying variable (multiplied by spatial weight matrix) lagged by one period (year) in time. Source: Author’s estimates based on World Bank and UNCTAD databases.

One potential explanation for the negative direct effect of corporate governance quality on FDI in the CEE economies is that improved corporate governance practices can block certain types of FDI, leaving behind foreign investors with a lower “threshold for corruption”. This may decrease FDI to the CEE country in question. However, once the jurisdictional competition results in an improvement of corporate governance across the region, it ultimately has a positive spillover effect.

The above explanation is in line with the theory of regulatory capture (Stigler, 1971), which suggests that the decisions made by public officials might be shaped and sometimes distorted by the efforts of rent-seeking interest groups to increase their influence.

Finally, the estimates do not indicate that the other studied institutional factors, rule of law and political stability, are applied as instruments of jurisdictional competition as neither groups of countries show significant spillover effects. The results, however, show that these factors influence the FDI inflow via the direct effect. More specifically, an increase in political_stability positively influences the FDI inflow to the economies in question, both in CEE and the EU, while rule_of_law is positive and significant only for the CEE countries. If investors are not as responsive to changes in rule_of_law when the initial level is high, the fact that EU countries typically have a higher rule_of_law value compared to CEE countries might explain why this estimate is insignificant for the EU countries.

Conclusion

This brief, first, presents new evidence on the relationship between different economic and institutional factors and FDI using a spatial econometric approach; second, it analyzes the possible existence of jurisdictional competition among developing CEE countries and developed EU countries as well as its effect on FDI.

The results suggest proactive jurisdictional competition in FDI determinants such as corporate governance quality and tax rates. CEE countries competing with one another use both these instruments of jurisdictional competition, while EU countries compete only via corporate governance quality. Furthermore, foreign investors are not sensitive to the quality of rule of law in the EU countries, while this instrument is more important for the FDI inflow to CEE economies.

Our results stress that officials responsible for the FDI policy implementation should pay more attention to the policies undertaken by neighboring governments as such external policies can make their own strategies to attract FDI to their economy less effective.

References

  • Blanton, S., and R. Blanton. (2007). What Attracts Foreign Investors? An Examination of Human Rights and Foreign Direct Investment. The Journal of Politics, 69(1), 143-155.
  • Blonigen, B. (2005). A Review of the Empirical Literature on FDI Determinants. Atlantic Economic Journal, 33(4), 383-403.
  • Elhorst, J. (2014). Spatial Econometrics from Cross-Sectional Data to Spatial Panels. Berlin: Springer.
  • Elhorst, J., and S. Freret. (2009). Evidence of Political Yardstick Competition in France Using a Two-Regime Spatial Durbin Model with Fixed Effects December. Journal of Regional Science, 49(5), 931-951.
  • IMF (2003). World Economic Outlook 2003. International Monetary Fund: Washington DC.
  • LeSage, J. (2014). What Regional Scientists Need to Know About Spatial Econometrics? Working Paper, Texas State University-San Marcos, San Marcos.
  • LeSage, J., and R. Pace. (2009). Introduction to Spatial Econometrics. Boca Raton, FL: CRC Press, Taylor and Francis Group.
  • Mazol, A., and S. Mazol. (2021). Competition of Jurisdictions for FDI: Does Developing and Developed Countries Response Different to Economic Challenges? BEROC Working Paper Series, WP no. 73.
  • Stigler, G. (1971). The Theory of Economic Regulation. Bell Journal of Economic and Management Science, 2, 3-21.

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.

Why Are Women Underrepresented in Politics: Exploring Causes and Solutions

Women leaders at UN discussing political representation and gender equality representing women in politics.

Why are women underrepresented in politics? Despite progress in gender equality, women are still significantly underrepresented in political offices worldwide, especially in higher-level positions. This issue has drawn increasing attention in both academic and policy circles.

Recent research in economics and political science explores the key reasons why women are underrepresented in politics, often categorizing them into “supply-side” and “demand-side” factors. Supply-side factors include women’s potentially lower willingness or ability to run for political office, influenced by social norms, family responsibilities, or lack of political networks. On the demand side, voter and party leader biases against women candidates play a significant role in limiting opportunities for women to hold political office.

Understanding why women are underrepresented in politics is critical for designing effective policies that address the gender gap in political representation. Solutions such as gender quotas, political leadership training for women, and reforms to reduce bias have been proposed. We review some of these strategies and assess their effectiveness based on available evidence.

By tackling the root causes of why women are underrepresented in politics, we can create more inclusive political systems that better reflect the diverse populations they serve.

Country Reports

Belarus country report (EN) Belarussian language version (BY)
Georgia country report (EN) Georgian language version (GE)
Latvia country report (EN) Latvian language version (LV)
Poland country report (EN) Polish language version (PL)
Russia country report (EN) Russian language version (RU)
Ukraine country report (EN) Ukrainian language version (UA)

Women in Politics: Why Are They Under-represented?

Women are generally under-represented in political offices worldwide, and their under-representation becomes larger in more senior positions. Of the four dimensions considered in the World Economic Forum’s Gender Equality Index (namely, Economic Opportunity and Participation, Educational Attainment, Health and Survival and Political Empowerment), the dimension called Political Empowerment, which measures the extent to which women are represented in political office, records the poorest performance, with only 25% of an hypothetical 100% gap having been closed to date.

Importantly, although there is large variation across countries, gender inequality in political empowerment is documented in every region worldwide, including in those countries that are most socially and economically advanced. Sweden, for instance, while having a good record of women’s representation in most institutions (women currently represent 47.5% of the Parliament members, 54.5% of the ministers, and about 43% of the municipal councilors), has never had a woman as Prime minister, and only one-third of its mayors are female. Countries in Eastern Europe and Central Asia have only closed 15% of a hypothetical 100% gender gap in political empowerment, according to the World Economic Forum, by far their worst performance among the four sub-indexes that compose the overall Gender Equality Index.

Given the persistent under-representation of women in political institutions, where important decisions that shape societies are taken, economists and political scientists, among others, are increasingly interested in understanding the causes of the gender gap in political representation. In this brief, some of the recent academic literature on this question is summarized, and some policies that may help to close the gender gaps in political representation are reviewed.

Table 1. World Economic Forum Gender Equality Index. Regional Performance in 2020, by Sub-index

Table 1. World Economic Forum Gender Equality Index. Regional Performance in 2020, by Sub-index

Why Are Women Under-represented in Political Office?

Broadly speaking, three main reasons are most often explored, namely women’s unwillingness to become politicians, voters’ bias, and parties’ bias.  Below an overview of some of the work that has addressed each of these three factors is provided.

Gender Gaps in Political Ambition

Large-scale surveys have documented that women who, based on their professional and economic credentials, are potential political candidates, report lower ambition to occupy executive offices than comparable men (Fox and Lawless, 2004). The main reasons for the gender gap in ambition appear to be that

  • (a) women are less encouraged to run for office than men and
  • (b) women are less likely to believe that they are qualified for office than men.

Women’s tendency to shy away from competition (Niederle and Vesterlund, 2007) may also play a role since the political selection process is likely perceived as highly competitive. As Preece and Stoddard (2015) find by using two experiments, priming individuals to consider the competitive nature of politics lowers women’s interest in running for political office, whereas it has no effect on the interest of men.

Women’s willingness to advance in their political careers can also be influenced by family and relational considerations. Recent work from Folke and Rickne (2020) shows that in Sweden female politicians who are promoted to mayor (i.e. the highest office in municipal politics) experience a significant increase in the likelihood of divorcing their partner, whereas this is not the case for men. If women face higher costs for their career achievements, as the evidence in Folke and Rickne (2020) suggests, they may be discouraged from pursuing such objectives.

While there is evidence that women may on average be less willing to advance to top positions than men, it is not clear how quantitatively relevant this factor is to account for the lack of women in power. The introduction of gender quotas in candidate lists in different countries worldwide can be informative in this sense. If women’s under-representation in electoral lists is mostly due to the lack of qualified female politicians, some electoral lists (in most cases representing specific political parties)  may not be able to run due to the introduction of a quota, and the average “quality” of lists, measured by some relevant (to voters) characteristics of their members, would decrease. The literature finds no evidence of either of these two responses to quotas (see Baltrunaite et al., 2014, Besley et al., 2017, Bagues and Campa, 2020). On the contrary, in Italy (Baltrunaite et al., 2014) and Sweden (Besley et al., 2017) quotas appear to have improved the “quality” of the elected politicians.

Voters’ Bias

Krook (2018) observes that the existing work in political science regarding the importance of voters’ bias in explaining women’s underrepresentation in politics leads to ambivalent conclusions. Results in the most recent economics literature confirm this assessment. Barbanchon and Sauvagnat (2019) compare votes received by the same female candidate in French parliamentary elections across different polling stations within an electoral district and find that votes for women are lower in municipalities with more traditional gender-role attitudes. They interpret this pattern as evidence of voters’ discrimination and conclude that voters’ bias matters quantitatively in explaining women’s under-representation among politicians. Conversely, Bagues and Campa (2020) find no evidence of voters’ bias against women, based on voters’ reaction to the introduction of a gender quota for electoral lists in Spain. Specifically, they study how the quota impacts the electoral performance of lists that were more affected by the quota – i.e. that were forced to increase their share of female candidates by a larger extent, due to their lower level of feminization pre-quota. They do not find evidence that such lists have worsened their relative electoral performance due to the quota. Put differently, there is no evidence that voters lower their electoral support of a list when its share of female candidates increases for exogenous reasons.

Survey data on voters’ attitudes can also help in gauging the extent to which voters discriminate against women. Based on data from the latest wave of the World Value Survey (WVS, 2017-2020), in Western Europe typically less than 20% of survey respondents express agreement with the statement “Men make better political leaders than women do” (e.g. 5% in Sweden, 9% in Denmark and Germany, 12% in Finland and France, 19% in Italy; only in Greece the share of the agreement is higher than 20%, at 26%). As shown in Figure 1, these percentages are substantially higher in Eastern Europe and Central Asia.).

Figure 1. Share of survey respondents who report to “Agree” or “Strongly Agree” with the statement “Men make better political leaders than women do”.

Notes: Data are based on the latest wave of the World Value Survey, 2017-2020. The countries selected were either part of the former Soviet Union or under direct Soviet influence before 1990.

It bears noting, however, that answers to the WVS are not always informative about the extent to which voters’ bias prevails in a country. Where the percentage of respondents who think that men make better political leaders than women is close to or above 50%, as e.g. in Armenia, Georgia, or Russia, voters’ bias is likely to be an important factor. However, in countries with lower levels of agreement, such as for instance Poland, drawing conclusions is harder, since the WVS does not measure the share of respondents who think that women make better political leaders than men do.

Parties’ Bias

Party leaders, who often are key players in the selection of politicians, may prefer to promote male rather than female candidates. If they are aware of voters’ bias against women, preferring male candidates is consistent with a votes-maximizing strategy. However, party leaders may also act as gate-keepers and hold women back even in absence of voters’ bias. Esteve-Volart and Bagues (2012) find evidence of an agency problem between voters and parties by looking at Spanish elections. While parties tend to nominate women in worse positions on the ballot, there is no evidence that women attract fewer votes than men; moreover, when the competition is stiffer, women’s position on the ballot improves. These two facts lead the authors to conclude that the disadvantage women face can likely be attributed to parties’ rather than voters’ bias.

When considering all these factors, it is also important to note that the systematic under-representation of women in political institutions is likely self-reinforcing, due to gendered group dynamics.  In the laboratory, women in male-majority teams appear significantly less likely to put their name forward as team-leaders than women in female-majority teams; they anticipate, correctly, lower support from team members (see Born et al., 2019). Female mayors in Italy are significantly more likely to be removed by their municipal councils than their comparable male colleagues; importantly, this is especially true when the share of male councilors is particularly large (Gagliarducci and Paserman, 2011). These studies suggest that, since the political arena has been historically male-dominated, gendered group dynamics can create vicious cycles of women’s under-representation.

Which Policies Can Be Used to Increase Women’s Representation in Political Institutions?

Different policies can be considered to address the various factors accounting for women’s under-representation in politics. In an attempt to address the ”supply-side’’ aspect of women’s under-representation, various non-profit organizations have offered training programs aimed at providing women with knowledge, skills, and networks to build political careers (see, for instance, NDI 2013). While reviewing the existing literature on these programs is beyond the scope of this brief, to the best of the author’s knowledge, there is little to no research-based evidence on the quantitative impact of training on women’s advancements in politics. Non-profit organizations, political parties, and researchers may fruitfully collaborate to implement and systematically test training programs.

Gender quotas are the most commonly used policy intervention, especially those regulating the composition of candidate lists, and they have been extensively studied; overall the literature suggests that quotas are more or less effective in empowering women depending on their design and the context where they are used (see Campa and Hauser, 2020 for a more comprehensive review of the economics literature on gender quotas and related policy implications). Given the nuances in the functioning of quotas, countries or regions that consider their adoption should consult with experts who know the ins and outs of such policies and combine their expertise with local knowledge of the relevant context.

The structure and distribution of power within parties are likely crucial for improving women’s political representation. Some scholars have devoted attention to the role of women’s organizations within parties. Theoretically, such organizations should favour the creation of networks and offer mentorship services, which are likely crucial to climb the career ladder in politics. In Sweden, a coalition of women from both the right and the left is credited for having pressed the Social Democrats’ into adopting their internal zipper quota by threatening to form a feminist party (see Besley et al., 2017). Women’s wings within political parties could play a similar role. Kantola (2018) notes that women’s organizations seem to be currently deemed as outdated, at least in European parties; Childs and Kittilson (2016), on the other hand, find that their presence does not seem to harm women’s promotion to executive roles within parties, a concern that has been associated with the existence of such organizations. In countries with public funding of political parties, specific funds could be directed to women’s organizations within parties.

Folke and Rickne (2020) also note that, since women in top jobs appear to face more relational and family constraints than men, policies that improve the distribution of economic roles within couples could help address the under-representation of women in positions of political power; their observation underlines the crucial role of gender-role attitudes in affecting women’s empowerment in any area of society. How can these attitudes change? An increasing amount of research is being devoted to answering this question. Campa and Serafinelli (2019), for instance, show that a politico-economic regime that puts emphasis on women’s inclusion in the labor market can change some of these attitudes. More research from different contexts and on specific policies will hopefully provide more guidance for policy makers on this important aspect, but the message from the existing research is that gender-role attitudes can be changed, and therefore policy-makers should devote attention to interventions that can influence the formation of such attitudes.

In many Western democracies, the rate of progress in women’s access to top political positions has proven especially slow. This history of Western democracies and the existence of the self-reinforcing mechanisms described above can serve as a lesson for countries in transitions, where new political organizations and institutions are emerging. In absence of specific policies that address women’s under-representation at lower levels very early on, it would likely take a very long time before gender gaps are closed at higher levels of the political hierarchy.

In conclusion, the authors observe that constant monitoring of the gender gaps in political institutions is important, even in presence of clear upward trends, since progress is rarely linear and therefore needs continuous nurturing.

About FROGEE Policy Briefs

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

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

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

Addressing the COVID-19 Pandemic: Vaccination Efforts in FREE Network Countries

Preparing Covid Vaccine on Pink Surface representing COVID-19 vaccination

There are great expectations that vaccinations will enable a return to normality from Covid-19. However, there is massive variation in vaccination efforts, vaccine access, and attitudes to vaccination in the population across countries. This policy brief compares the situation in a number of countries in Eastern Europe, the Baltics, the Caucasus region, and Sweden. The brief is based on the insights shared at a recent webinar “Addressing the COVID-19 pandemic: Vaccination efforts in FREE Network countries” organized by the Stockholm Institute of Transition Economics.

Introduction

As of February 16, 2021, the total number of confirmed COVID-19 deaths across the globe has reached 2.45 million according to Our World in Data (2021).  Rapid implementation of vaccination programs that extend to major parts of the population is of paramount importance, not only from a global health perspective, but also in terms of economic, political, and social implications.

Eastern Europe is no exception. Although many countries in the region had a relatively low level of infections during the first wave of the COVID-19 pandemic in the spring of 2020, all have by now been severely affected. Vaccination plays a key role for these economies to bounce back, especially as many of them depend on tourism, trade, and other sectors that have been particularly hurt by social distancing restrictions.

 Figure 1. Cumulative confirmed COVID-19 cases (top panel) and deaths per million (bottom panel) in the FREE Network region

Source: John Hopkins University CSSE COVID-19 visualizations: Ourworldindata.org/coronavirus

Against this background, the Stockholm Institute of Transition Economics invited representatives of the FREE Network countries to discuss the current vaccination efforts happening in Eastern Europe, the Baltics, and the Caucasus (the represented countries were Belarus, Georgia, Latvia, Poland, Russia, Sweden, and Ukraine). This brief summarizes the main points raised in this event.

Vaccination Status

In Latvia, Poland, and Sweden, the second wave of infections started to pick up in November 2020 and peaked according to most COVID-19 impact measures in early 2021. As all three countries are members of the EU and take part in its coordinated efforts, they have all received vaccines from the same suppliers (i.e. Astra/Zeneca, Moderna, and Pfizer/BioNTech).

Latvia had problems early on with getting the vaccination process off the ground. The health minister was blamed for the slow start since he declined orders from Pfizer/BioNTech in the early stages, and was forced to resign. As of February 16, two doses per 100 people have been distributed primarily to medical staff, social care workers, and key-state officials.

Figure 2. Cumulative COVID-19 vaccination doses per 100 people

Source: Our world in data, last updated February 24th, 2021. This is counted as a single dose, and may not equal the total number of people vaccinated. Visualizations: Ourworldindata.org/coronavirus

With the first phase starting in late December, Sweden has by February 16th, 2021, fully vaccinated 1,05% of the population while experiencing serious problems with delivery and implementation. As planning and delivery of vaccines are centralized while the implementation is decided regionally, there have been some unclarities regarding who stands accountable for issues that emerge. Guidelines, issued by the Public Health Agency of Sweden, for how to prioritize different groups have been changed a couple of times. Currently, the (non-binding) recommendation is to prioritize vaccinating people living in elderly care homes, as well as personnel working with this group, followed by those above 65 years of age, health care workers, and other risk groups.

Looking at regional statistics there are significant differences in vaccinating people across regions with an average of 70% usage rate of delivered vaccines, and with lows at 40-60%, see figure 3. Reasons for this remain unclear.

Figure 3. Distributed relative to delivered vaccines across counties (län) in Sweden.

Source: Authors’ calculations based on data collected by the Public Health Agency of Sweden. Last updated February 14th, 2021.

Poland has so far been somewhat more efficient than Sweden in its vaccination efforts. Despite turbulent political events over the last couple of months, it has managed to distribute 5.7 doses per 100 people. The country has just finished the first phase of the national vaccination plan, which focused on vaccinating healthcare personnel, and has now entered the second phase with a shifted focus towards elderly care homes, people above 60 years of age, military, and teachers.

Among the countries that are not members of the EU, and thus, not taking part in its coordinated vaccination efforts, the vaccination statuses are more diverse.

Russia was fast in developing and approving the Sputnik V vaccine. The country started vaccinating in early December, although only people in the age of 18-60 in prioritized occupations such as health care workers, people living and working in nursing homes, teachers, and military. At the start of 2021, the program extended to people above 60 and, on January 16, all adults were given the possibility to register themselves and get vaccinated within one week. There are no precise data at the moment, but the fraction of the population vaccinated is likely to be higher than 1%.

Others in the region have faced greater challenges in signing contracts with vaccine suppliers. Georgia and Ukraine are still waiting to secure deliveries and have not yet started to vaccinate. Being outside the EU agreements and with public and political mistrust towards Sputnik V and Russia alternatives are being explored. Georgia has ordered vaccines through the COVAX platform (co-led by Gavi, the Coalition for Epidemic Preparedness Innovations (CEPI) and WHO) but there are concerns about potential delays in deliveries. In terms of prioritizing groups once vaccinations can start, both Ukraine and Georgia have set similar priorities as other countries, with extra focus on health-care and essential workers, age-related risk groups, and people with chronic illnesses.

While Belarus’ official figures on the death toll have been widely perceived as unrealistic from the beginning, the most accurate and recent data shows an excess deaths rate of about 20% in July. The country has no precise data on vaccinations, but some reports have emerged based on interviews with government officials in the Belarusian media. These suggest that around 20,000 imported doses of Sputnik V have been distributed mainly to medical professionals and an additional 120,000-140,000 doses have been promised by Russia.

Main Challenges

The discussion during the Q&A session at the webinar concerned the economic and political implications of vaccinations in the region.

Pavlo Kovtoniuk, the Head of Health Economics Center at KSE in Ukraine, stressed the importance of a coordinated vaccination effort in Europe with regards to geopolitics. There is a clear EU vs Non-EU divide in the vaccination status across European countries. The limited vaccine availability in Non-EU countries such as Ukraine, Georgia, and Belarus offers opportunities for more influential nations like Russia and China to pressure and affect domestic policy in these countries.

Also highlighting the fact that no one is safe until everybody is safe, Lev Lvovskiy, Senior Research Fellow at BEROC in Minsk, noted that vaccination efforts in Europe are important for recovery in small open economies like Belarus as many of its trade partners currently have imposed temporary import restrictions.

Similar to the political crisis happening alongside the pandemic in Belarus, the challenges we see in Poland – protests against the recent developments regarding abortion rights and attempts by the government to limit free media – have deflated the urgency to vaccinate in terms of its future economic and political implications, according to Michal Myck, director of CenEA in Szczecin.

Looking forward, another major challenge for the region is vaccine skepticism. Not only do many countries have to build proper infrastructure that can administer vaccines at the required scale and pace, but also make sure that people actually show up. In Latvia, Poland, Georgia, Russia, and Ukraine, polls show that less than 50% of the population are ready to vaccinate. Sergejs Gubin, Research Fellow at BICEPS in Riga, highlighted that there can be systematic variation in the willingness to vaccinate within countries as e.g. Russian-speaking natives in Latvia have been found to be less prone to vaccinate on average. Also, most of the skepticism in Georgia has been more directed towards the Chinese and Russian vaccine than towards those approved by the EU, according to Yaroslava Babych who is lead economist at ISET in Tbilisi.

Even though vaccine skepticism is an issue in Russia too, Natalya Volchkova, Director of CEFIR at New Economic School in Moscow, pointed to the positive impact of “bandwagon effects” in vaccination efforts. When one person gets vaccinated, that person can spread more accurate information about the vaccine to their social circle, resulting in fewer and fewer people being skeptical as the share of vaccinated grows. In such a scenario vaccine skepticism can fade away over time, even if initial estimates suggest it is high in the population.

Concluding Remarks

Almost exactly a year has passed since Covid-19 was declared a pandemic. The economic and social consequences have been enormous. Now vaccines – developed faster than expected – promise a way out of the crisis. But major challenges, of different types and magnitudes across the globe, still remain. As the seminar highlighted, there are important differences across transition countries. Some countries (such as Russia) have secured vaccines by developing them, but still face challenges in producing and distributing vaccines. Others have secured deliveries through the joint effort by the EU, but this has also had its costs in terms of a somewhat slower process (compared to some of the countries acting on their own) and sharing within the EU. For some other countries, like Belarus, Ukraine, and Georgia, the vaccination is yet to be started. All in all, the choice and availability of vaccines across the region illustrates how economic and geopolitical questions remain important. Finally, for many of the region countries vaccine skepticism and information as well as disinformation are important determinants in distributing vaccines. Summing up, the combination of these factors once again reminds us that how to best get back from the pandemic is truly a multidisciplinary question.

List of Participants

  • Iurii Ganychenko, Senior researcher at Kyiv School of Economics (KSE/Ukraine)
  • Jesper Roine, Professor at Stockholm School of Economics (SSE) and Deputy Director at the Stockholm Institute of Transition Economics (SITE/ Sweden)
  • Lev Lvovskiy, Senior Research Fellow at the Belarusian Economic Research and Outreach Center (BEROC/ Belarus)
  • Michal Myck, Director of the Centre for Economic Analysis (CenEA/ Poland)
  • Natalya Volchkova, Director of the Centre for Economic and Financial Research  ­New Economic School (CEFIR NES/ Russia)
  • Pavlo Kovtoniuk, Head of Health Economics Center at Kyiv School of Economics (KSE/Ukraine)
  • Sergej Gubin, Research Fellow at the Baltic International Centre for Economic Policy Studies (BICEPS/ Latvia)
  • Yaroslava V. Babych, Lead Economist at ISET Policy Institute (ISET PI/ Georgia)

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.

Video of the FREE Network webinar “Addressing the Covid-19 Pandemic: Vaccination Efforts in Free Network Countries

Media Freedom in Eastern Europe

Photography of Magazine representing Media Freedom Eastern Europe

In recent years, press freedom in many Eastern European countries has increasingly come under threat. This policy brief provides an overview of the importance of a free press for democracy and the challenges to media freedom in these European transition economies.

Introduction

Freedom of expression – which encompasses media freedom – is a fundamental human right enshrined in most countries’ constitutions. Yet for many of their citizens, it is more of an aspiration than a reality. Following the dissolution of the Soviet Union, a number of countries in Eastern Europe embarked on a process of democratisation and accession to the European Union – for which one of the prerequisites is a free press.

Figure 1 shows a measure of press freedom for the eight Eastern European countries that joined the EU in 2004. These countries saw a general improvement in press freedom from the early 1990s to the early 2000s. But since then, experiences have diverged and in 2017 only Estonia and the Czech Republic showed better scores on press freedom than when they first joined the EU. This pattern of backsliding is not confined to the media, but is also evident in other measures of democracy.

Figure 1. Media Freedom in Eastern Europe

Media and Democracy

A free press and a strong democracy are mutually reinforcing. Research, from mainly Western democracies, shows that the media plays an important role in informing the electorate and holding politicians accountable. For example, Snyder and Strömberg (2010) find that U.S. voters are less informed about their Congressmen when they are covered less in the local press. This is ultimately damaging for voters, as these politicians work less for their constituency and these constituencies also receive less federal funding.

Investigative journalism can play an important role in uncovering corruption and other forms of wrongdoing by politicians. For instance, using the Panama Papers and other leaked documents, journalists uncovered 11,562 offshore entities linked to Russia, 2943 linked to Latvia, and 103 linked to Sweden (see: Offshore Leaks Database). While there are legitimate uses for these offshore entities, the lack of transparency surrounding offshore finance also facilitates tax evasion and money laundering. The revelations of offshore holdings became an embarrassment to many politicians, with some forced to resign. In Russian media, the allegations that the leaks document suspected money laundering by President Putin were characterised as US propaganda (Hoskins and Shchelin, 2018).

Figure 2 shows the relationship between the length of time a country’s leader has been in office and its press freedom score in 2020. While there is no systematic relationship between leader tenure length and press freedom in Western Europe (in blue), across Eastern Europe (in red), countries whose leader has been in power for longer tend to have less media freedom. This correlation is likely to reflect three factors: 1) media coverage can affect a government’s chances of staying in power; 2) a longer-lived government might be more able to control the media and 3) a host of other factors, such as the public’s political engagement and the strength of democratic institutions, could influence both freedom of the press and the longevity of governments.

Figure 2. Media Freedom and Leader Tenure

Source: Freedom of the Press, Freedom House. This figure shows the Freedom of the Press total score for the 8 central and eastern European countries that joined the EU in 2004 from 1993 to 2017. A country with a score between 0 and 30 (31 and 60) is designated as having a free (partly free) press.

Electoral Effects of the Media

A number of papers show the causal effects of (biased) media coverage in shaping support for political parties. For instance, watching Fox News increases voting for the Republican party in the US (DellaVigna and Kaplan, 2007; Martin and Yurukoglu, 2017).

Enikolopov, Petrova, and Zhuravskaya (2011) investigate the influence of NTV (the only national TV channel that was at the time independent of the government) on voting in the 1999 parliamentary election in Russia. They find that areas with greater access to NTV were significantly less likely to vote for the government party and more likely to vote for opposition parties.

Biased media can also be used as a foreign policy tool. Peisakhin and Rozenas (2018) find that Ukrainian areas that received Russian TV had on average greater support for pro-Russian parties and candidates in the 2014 elections.

The media landscape in many CEE countries is highly polarised and politicised. Kostadinova (2015) cites research showing that in some former communist countries many journalists still rely on government officials as news sources. In other countries, media in opposition to the communist regimes emerged at the end of the 1980s, such as in Poland where the Gazeta Wyborcza became one of the leading daily newspapers.

Government Control of the Media

Governments have many ways of controlling the media in their country. At the extreme, governments can own and run media outlets, dictate their contents, and censor any dissenting voices. While political and media systems across CEE are diverse, they share some common experiences that might explain their current fragility.

Transitions in Media Ownership

In the Eastern Bloc, the mass media was owned and tightly controlled by the state and used as a tool for propaganda. After the fall of communism, many state-owned media were privatised – along with other state-owned enterprises.  Foreign (mostly western European) media conglomerates purchased a significant fraction of media outlets in a number of countries.

While private and foreign ownership of the media can reduce the government’s ability to influence media content, the experience of CEE was not entirely positive.  Stetka (2012) argues that while foreign owners brought capital and technology, they were less concerned with transplanting Western journalistic and professional standards.  Dobek-Ostrowska (2015) claims that this focus on profit led to the tabloidisation of news across the CEE.

Following the global financial crisis in 2007/2008, foreign investors started to pull out of the CEE media markets and are being replaced by local owners who often have strong links with the government. This is evident in Hungary, where businessmen close to the government have been buying up independent media outlets, including its largest news website, one of two national commercial TV channels, and all regional newspapers (Bede, 2018). The Polish government also aims to “re-nationalise” its media. Plans by a state-run oil company to buy one of the country’s largest media publishers from its German owners were recently approved.

Elsewhere, domestically owned and previously independent media outlets are also being bought by new pro-government owners. In Russia, the formerly independent NTV from the above example was taken over by a state-owned company in 2001 and started to cover the ruling party in the run-up to the following elections in a similarly favourable way to state-controlled TV channels. Gehlbach (2010) argues that Putin’s media strategy is to exert tight control over the news coverage of these three main national television networks, while allowing media outlets with less reach to operate more independently.

In some countries of the region, there is limited information about the ultimate owner of media outlets. Within the EU, Latvia, Hungary, the Czech Republic, Slovakia and Cyprus, are assessed as high risk in terms of transparency of media ownership (Brogi et al. 2020). In 2009, the Swedish company Bonnier sold Diena – one of Latvia’s largest newspapers – to an initially undisclosed investor. A year later, a Latvian businessman acquired a controlling stake in the paper.

Government Advertising

Around the world, traditional news media is facing increased competition from digital platforms and becoming highly dependent on advertising revenue, including advertising from the government and pro-government businesses According to the Centre for Media Pluralism and Media Freedom, there are no clear and fair criteria for the distribution of state advertising to the media in the majority of EU countries – especially those in Eastern Europe (with the exception of Estonia).

Szeidl and Szucs (2021) document how the Hungarian government targeted advertising to friendly media outlets and how these media in turn covered the government more positively.  They also present suggestive evidence that a similar favour exchange between government and the media occurs in nine other Eastern European countries, including Poland.

Two weeks ago, many private Polish media outlets coordinated a media blackout to protest government plans to tax advertising revenues. The media companies complained that the tax would cost them $270m a year, while public media received twice as much from taxpayers.

Public Service Media

The establishment of public service media forms an integral part of the EU’s agenda for promoting press freedom. While public service media are an important and trusted source of unbiased information in many western European countries, they generally play a smaller role in the  Eastern European media markets. Furthermore, no laws are guaranteeing the independence of public service media from the government in eastern EU countries, with the exception of the Baltic states and Slovenia  (see Centre for Media Pluralism and Media Freedom).

Intimidation of Journalists

Governments can also ensure positive coverage by intimidating editors and journalists. Since 1992, 91 journalists were killed, imprisoned, or went missing in Russia, 18 in Ukraine, 15 in Belarus, and 8 in Georgia (data by the Committee to Protect Journalists). While not all of these cases reflect government action, several recent examples illustrate how the judicial system may be used against journalists. For instance, according to the CPJ, ten journalists were imprisoned in November 2020 for covering protests against President Lukashenko in Belarus and one journalist was charged with high treason and espionage in Russia in July 2020.

There are also fears that governments can use defamation laws to deter and punish unwelcome media reports. For instance, the head of Poland’s ruling party filed a libel charge against two journalists from the Gazeta Wyborcza for reporting about his alleged involvement in a real estate project (see, e.g. Council of Europe media freedom alert).

Conclusion

The media plays a vital role in shaping the public debate and holding those in power accountable to the wider population. This power of the media also increases the risk that governments attempt to influence media content.

In recent years, many countries in CEE have seen press freedom come increasingly under threat, undermining some of the progress made since the dissolution of the Soviet Union. Part of the present fragility of media freedom in Eastern Europe may be due to their historical experience. During the transition from communism, many formerly state-owned media companies were sold to private and often foreign owners. In the past decade, local business interests with strong ties to the government started to buy up large shares of the media market in a number of Eastern European countries. Meanwhile, public service media have been less successful at establishing themselves as important and unbiased sources of information across Eastern Europe compared to Western Europe.  To ensure positive media coverage, many governments adopt a carrot and stick approach: state advertising revenues and intimidation of individual journalists.

Article 19 of the Universal Declaration of Human Rights states that “everyone has the right to freedom of opinion and expression; this right includes freedom to hold opinions without interference and to seek, receive and impart information and ideas through any media and regardless of frontiers”. To ensure these fundamental rights, there need to be transparent and fair rules governing the ownership, management, and financing of media outlets and safeguards for individual journalists.

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.