Tag: Public support

Active Labor Market Policy in the Baltic-Black Sea Region

Posted on June 3, 2024 | Policy Brief

Image that shows an overhead view of a large, open pedestrian area with people walking and standing around representing active labour market policy.

This brief outlines the characteristics of active labor market policy (ALMP) in four countries in the Baltic-Black Sea region: Belarus, Lithuania, Poland, and Ukraine. An analysis of the financing expenditure structure within this framework reveals significant differences between the countries, even for Poland and Lithuania, where the policies are to be set within a common EU framework. Countries also differed in terms of their ALMP reaction to the economic challenges brought about by the Covid-19 pandemic, as Poland and Lithuania increased their ALMP spending, while Ukraine, and, especially, Belarus, lagged behind. Despite these differences, all four countries are likely to benefit from a range of common recommendations regarding the improvement of ALMP. These include implementing evidence-informed policymaking and conducting counterfactual impact evaluations, facilitated by social partnership. Establishing quantitative benchmarks for active labor market policy expenditures and labor force coverage by active labor market measures is also advised.

Introduction

This policy brief builds on a study aimed at conducting a comparative analysis of labor market regulation policies in Belarus, Ukraine, Lithuania, and Poland. In comparing the structure of labor market policy expenditures, the aim was to identify common features between Poland and Lithuania, both of which are part of the EU and employ advanced labor market regulation approaches. We also assessed Ukraine’s policies, currently being reformed to align with EU standards, contrasting them with Belarus, where economic reforms are hindered by the post-Soviet authoritarian regime.

The analysis of the labor market policies for the considered countries is based on an evaluation of the structure of pertinent measures between 2017 and 2020 (Mazol, 2022). We used the 2015 OECD systematization of measures of active labor market policy, as presented in the first column of Table 1.

Our study reveals substantial differences in active labor market policies within the four considered countries. Still, motivated by OECD’s approach to ALMP, we provide a range of common policy recommendations that are relevant for each country included in the study. Arguably, aligning with the OECD approach would have more value for current EU and OECD members, Poland and Lithuania, and the aspiring member, Ukraine. However, these recommendations also hold value when considering a reformation of the Belarusian labor market policy.

ALMP Expenditures in Belarus, Lithuania, Poland and Ukraine

Labor market policy comprises of active and passive components. Active labor market policy involves funding employment services and providing various forms of assistance to both unemployed individuals and employers. Its primary objective is to enhance qualifications and intensify job search efforts to improve the employment prospects of the unemployed (Bredgaard, 2015). Passive labor market policy (PLMP) encompasses measures to support the incomes of involuntarily unemployed individuals, and financing for early retirement.

Poland and Lithuania are both EU and OECD members, so one would expect their labor market policies to be driven by the EU framework, and, thus, mostly aligned. However, our analysis showed that the structure of their expenditures on active labor market policies in 2017-2019 differed (Mazol, 2022). In Lithuania, the majority of the funding was allocated to employment incentives for recruitment, job maintenance, and job sharing. From 2017 to 2019, the share for these measures was between 18 and 28 percent of all expenditures for state labor market regulation. In Poland, the majority of funding was allocated to measures supporting protected employment and rehabilitation. The spending on these measures fluctuated between 23 and 34 percent of all expenditures for state labor market regulation between 2017 and 2019.

The response to the labor market challenges during the Covid-19 pandemic in Poland and Lithuania resulted in a notable surge in state labor market policy spendings in 2020, amounting to 1.78 percent of GDP and 2.83 percent of GDP, respectively. Both countries sharply increased the total spending on employment incentives (see Table 1 which summarizes the expenditure allocation for 2020). Poland experienced a nine-fold increase in costs for financing these measures (29.4 percent of total expenditures on state labor market regulation). Meanwhile, in Lithuania, financing for employment incentives increased more than tenfold, amounting to 42.5 percent of all expenditures for state labor market regulation. In both countries it became the largest active labor market policy spending area.

Table 1. Financing of state labor market measures in Baltic-Black Sea region countries in 2020 (in millions of Euro).

Source: DGESAI, 2023. Author’s estimations based on World Bank data (World Bank, 2023), National Bank of Belarus data, National Bank of Ukraine data.

In Ukraine, the primary focus for active labor market policy expenditures was, from 2017 to 2020, directed towards public employment services, comprising 18 to 24 percent of total labor market policy expenditures. Notably, despite the Covid-19 pandemic, there were no significant changes in either the structure or the volume of active labor market policy expenditures in Ukraine in 2020. Despite Ukraine’s active efforts to align its economic and social policies with EU standards, the government has underinvested in labor market policy, with expenditures accounting for only 0.33-0.37 percent of GDP between 2017 and 2020. This is significantly below the levels observed in Lithuania and Poland.

In Belarus, labor market policy financing is one of the last priorities for the government. In 2020, financing accounted for about 0.02 percent of GDP, amounts clearly insufficient for having a significant impact on the labor market. Moreover, Belarus stood out as the sole country in the reviewed group to have reduced its funding for labor market policies, including both active and income support measures, during the Covid-19 pandemic. The majority of the financing for labor market policy has been directed towards protected and supported employment and rehabilitation, including job creation initiatives for former prisoners, the youth and individuals with disabilities.

ALMP Improvement Recommendations

As illustrated above, the countries under review do not have a common approach to active labor market policy spendings. Further, countries like Poland and Lithuania took a more flexible stance on addressing labor market challenges caused by the Covid-19 pandemic, by implementing additional financial support for active labor market policies. However, Ukraine and Belarus did not adjust their expenditure structures accordingly. Part of these cross-country differences can be attributed to differing legal framework: Poland and Lithuania are OECD and EU member states, and, thus, subject to corresponding regulations. Ukraine is in turn motivated by the prospects of EU accession, while Belarus currently has no such prosperities to take into account.

Another important source of deviation arises from the differences in current labor market and economic conditions in the respective countries, and the governments’ need to accommodate these. While such a market-specific approach is well-justified, aligning expenditure structures with current labor market conditions necessitates obtaining updated and reliable information about the labor market situation and the effectiveness of specific labor market measures or programs. An effective labor market policy thus requires establishing a reliable system for assessing the efficiency of government measures, i.e., deploying evidence-informed policy making (OECD, 2022).

To achieve this, it is crucial to establish a robust system for monitoring and evaluating the implementation of specific measures. This involves leveraging data from various centralized sources, enhancing IT infrastructure to support data management, and utilizing modern methodologies such as counterfactual impact evaluations (OECD, 2022).

Moreover, an effective labor market regulation policy necessitates the ability to swiftly adapt existing active measures and service delivery methods in response to changes in the labor market. This might entail rapid adjustments in the legal framework, underscoring the importance of close cooperation and coordination among key stakeholders, and a well-functioning administrative structure (Lauringson and Lüske, 2021).

To accomplish this objective, it is vital to foster close collaboration between the government and institutions closely intertwined with the labor market, capable of providing essential information to labor market regulators. One of the most useful tools in this regard appears to be so-called social partnerships – a form of a dialogue between employers, employees, trade unions and public authorities, involving active information exchange and interaction (OECD, 2022).

A reliable system to assess labor market policy and in particular to facilitate their targeting, is an essential component of this approach.

Ukraine and Belarus are underfunding their labor market policies, both in comparison to the levels observed in Poland and Lithuania, and in absolute terms. It is therefore advisable to establish quantitative benchmark indicators to act as guidance for these countries, in order to ensure that any labor market policy implemented is adequately funded. Here, a reasonable approach is to align the costs of implementing labor market measures with the average annual levels for OECD countries (which are 0.5 percent of GDP for active measures and 1.63 percent for total labor market policy expenditures (OECD, 2024). Furthermore, it’s essential to ensure a high level of labor force participation in active labor market regulation measures. A target standard could be set, based on the average annual coverage from active labor market measures, at 5.8 percent of the national economy labor force, as observed in OECD countries (OECD, 2024).

Conclusion

The countries under review demonstrate varying structures of active labor market expenditures. Prior to the Covid-19 pandemic, employment incentives received the most financing in Lithuania. In Poland the largest share of expenditures was instead directed to measures to support protected employment and rehabilitation. In Ukraine, the main expenditures were directed towards financing employment services and unemployment benefits while Belarus primarily allocated funds to protected and supported employment and rehabilitation. Notably, Lithuania and Poland responded to the economic challenges following Covid-19 by significantly increasing spending on employment incentives, while Ukraine and Belarus did not undertake such measures.

Part of the diverging patterns may be attributable to the countries varying legal framework and differences in the countries respective labor market and economic conditions.

While some of the differences in labor market policies are thus justified, ensuring funding at the OECD level for labor market measures, alongside adequate tools for monitoring and evaluating labor market policies, are likely to benefit all four Baltic-Black Sea countries.

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.

Ukraine and NATO – Evidence from Public Opinion Surveys

Posted on October 30, 2023 | Policy Brief

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A recent survey on Ukrainians’ attitudes towards a Ukrainian NATO membership shows that 89 percent would support joining the military alliance in a referendum – the highest level of support in the country’s history. Moreover, the convergence of membership attitudes between Western and Eastern regions in Ukraine displays a real loss of trust in Eurasian (pro-Russian) relations as a vector of development for Ukraine. This brief offers some perspectives on how public opinion has changed and what have been the crucial turning points. In particular, the brief digs deeper into the evolution of opinion against a NATO membership, as well as regional differences in attitudes. It also shows how every round of Russian aggression eventually has led to public opinion alignment. These changes not only concern a NATO membership but reflect a deeper transformation of societal values and a consolidation of the Ukrainian national identity, strengthening the grounds for a more democratic society.  

The continued Russian aggression on Ukraine has disclosed several deep-running issues that have for long been undercurrents in Ukraine’s history and whose resolution is a key determinant of the country’s future. One such issue is the relationship with NATO, including a potential accession into the alliance.

The most recent survey on Ukrainians’ attitudes towards Ukrainian NATO membership, conducted in May-June 2023, shows that 89 percent of the respondents would support it in a referendum, 8 percent would not, while 3 percent of the respondents found it difficult to say (KIIS, 2023). The survey (which excludes occupied territories where it was unfeasible to conduct the survey) also shows the lowest ever gap in terms of geographic spread. 93 percent were in favour of membership in the Western regions and 79 percent in the Eastern regions, the traditionally pro-Russian areas where most of the Russian ethnic minority resides. In comparison, in 2017, 71 percent were in support of a NATO membership in the Western regions and 32 percent in the Eastern regions, respectively (Kermach, 2017).

NATO Membership Support in Ukraine Over Time

To gain a deeper understanding of how the public’s opinion on a NATO membership has changed over time, it is suitable to start in 2002, when former President Leonid Kuchma first announced Ukraine’s aspiration to join NATO. At that point the Ukrainian society could be almost equally divided into three categories; those in favour of joining NATO, those against it, and those who refused to take a stance/found it difficult to say/would not vote in a referendum (hereafter referred to as “indecisive respondents”), depicted in Figure 1. This was a very natural consequence of the late 1990s/early 2000s coexisting positive attitudes to both geopolitical directions – towards NATO and the EU, but also towards Eurasian integration.

Figure 1. Attitudes to joining NATO among Ukrainians, 2002-2023.

Source: “30 Years of Independence”, 2021; KIIS, 2023; Rating Group, 2023 and author’s compilations.

One framework for understanding this is the concept of social ambivalence, which has been highlighted as very typical for transitional societies such as Ukraine. For example, Reznik (2022) argues that, in the case of Ukraine the main reason for ambivalent geopolitical orientation is the need for “ideological ‘reconciliation’ of two civilizational directions different in essence and meaning within an unbalanced identity” (Reznik, 2022). Similarly, Golovakha and Panina (2003) suggest that in Ukraine, society simultaneously accepts the old social institutions, which have lost their legality during the transition times but have remained legitimate in the view of the public, and the new social institutions, which have gained legal recognition but have not yet been accepted by society. Ukraine is not unique in this context, similar processes have occurred in many transition countries, for instance in Poland, the Czech Republic, Hungary, Slovakia, Estonia, Lithuania, Latvia and others (see, for instance, Roland, 2000; Murrell, 2003; Gruszewska, 2014; and Becker, 2019). This literature documents a mismatch between old and new institutional structures in transforming countries, strongly associated with low levels of trust in society, resistance to new ideas, strong attachment to traditional behaviors and low social activity levels within society. However, such discordance can change drastically due to shocks facing a society, as illustrated by the change in attitudes towards a NATO membership in Ukraine from the early 2000s and onwards.

In the first decade of the 21st century the Ukrainian society gradually became more aligned against joining NATO. This process intensified after 2010, when Viktor Yanukovych was elected as the President of Ukraine. Soon after the election, the Verkhovna Rada (the Ukrainian Parliament) adopted the law “On the Principles of Internal and Foreign Policy”, establishing the principle of “non-alignment” (Verkhovna Rada of Ukraine, 2010). This implied a Ukrainian commitment not to participate in any military political alliances, including NATO. This decision, alongside successful efforts from pro-Russian authorities in the Eastern regions – including anti-NATO propaganda – resulted in as low as 18 percent support for NATO membership in 2013, and 67 percent of the respondents stating to be against a membership (see Figure 1). Such anti-NATO sentiments can be argued to not only have prepared the grounds for, but also to have been explicitly used as an argument for the Russian aggression in 2014.

However, the illegal annexation of Crimea and the Russian aggression in Donbas in 2014 drastically changed the public’s opinion on the military alliance, increasing the share of NATO membership supporters to close to half of the population and thus exceeding the share of opposing or indecisive respondents for the first time in history. At that point 47,8 percent of Ukrainians were in favor of joining the alliance and 32,4 percent were against it (“30 Years of Independence”, 2021), and in 2014 the “non-alignment” principle was officially repealed. It was even officially stated in the Comment On Amendments to the Law of Ukraine “On Principles of Internal and Foreign Policy”) that the policy had been a decisive factor for the Russian aggression in 2014: “In view of this, the further continuation of the so-called non-alignment policy, which has already led to the loss of Ukraine’s territorial integrity, is contrary to national interests, poses a constant threat to Ukraine’s state sovereignty and territorial integrity, holds back the processes of socio-political and economic reform of the country, and limits Ukraine’s prospects to become a developed European democratic country within the European Union.” (Verkhovna Rada of Ukraine, 2014).

Changes in public opinion in Ukraine is however not only limited to NATO membership attitudes. Naturally, there have been changes in election outcomes and voting patterns as well. Recently, Munroe et al. (2023) found a significant shift in voting patterns in Ukraine after 2014, reporting a dramatic decline in pro-Russian votes in Donetsk, Dnipropetrovsk and Odessa regions that had all traditionally been pro-Russian. Still, about one third of the respondents were continuously negative towards NATO until 2021, when the share of those in opposition of a NATO membership dropped to 24 percent. Potential explanations for the pertaining negative attitudes include a remaining influence from pro-Russian authorities in the Eastern and Southern parts of the country, along with a lack of knowledge and awareness about NATO among the population.

Motives, Regional Variations, and Information Gaps

In this context, it is essential to highlight the Ukrainian’s motives for support, or scepticism towards NATO membership. A nation-wide survey from 2017 shows that among the majority of NATO supporters in Ukraine the dominant motive was the expectation of “security guarantees for Ukraine” (86 percent). On the contrary, those who did not support joining the alliance expressed concerns that a NATO membership might “draw Ukraine into NATO’s military actions” (44 percent) or “provoke Russia to direct military aggression” (28 percent). 27 percent were convinced that “Ukraine, in principle, should be a non-aligned state” (27 percent), and finally, 22 percent were worried that “foreigners and foreign capital will start to rule in Ukraine” (DIF, 2017).

Stereotypes of NATO as either protection or conversely, a threat, for Ukraine are subject to significant regional differences. While in Western and Central Ukraine the perception of NATO as protection clearly prevailed (81 and 68 percent, respectively), attitudes in the Southern and Eastern parts were more uncertain. About the same number of respondents (19 percent) considered NATO as both protection and a threat, while 25 percent of the respondents in the South and 30 percent in Eastern Ukraine didn’t see NATO as either.

The basis for these opinions is most likely a lack of effective information and a lack of understanding of the alliance, as well as the complex geopolitical dynamics involving it. Research has attributed negative attitudes towards NATO to surviving Cold War stereotypes and a lack of information concerning NATO’s specifics, functions, decision-making procedures, and the rights and obligations of member states (Kermach, 2017).

In the 2017 survey, almost every other Ukrainian admitted that they were not well informed about NATO. Only 55 percent of the respondents claimed to “know something about NATO”, while 22 percent said they knew virtually nothing about it. However, a majority of Ukrainians (55 percent) “would like to know more” about NATO, while about a third (36 percent) of the respondents did not express such interest (see Table 1). Also in this regard, regional differences are remarkable. In Western and Central Ukraine, interest in NATO was much higher in 2017 than in the Eastern and Southern parts of the country.

Table 1. Interest in knowing more about NATO among Ukrainians in 2017.

Note: Responses to the question: “Would you like to know more about NATO?”
Source: DIF, 2017.

Public Opinion Consolidation

The most drastic change in attitudes towards a NATO membership has however occurred after the full-scale Russian invasion of Ukraine in February 2022, with the public almost converging in their support of a NATO membership. The ongoing share of NATO supporters exceeds 85 percent, and the increase in this group draws, to an almost equal extent, both from the number of those who previously were against the alliance and those who were previously indecisive. For the majority of those who consistently considered the “non-alignment” policy of Ukraine as optimal (26,6 percent according to Kermach (2017)), it has become obvious that this “non-alignment” strategy has failed to provide effective security guarantees.

Moreover, the perception of a NATO membership as a security guarantee is also changing. In the 2022 Kyiv International Institute of Sociology (KIIS) survey, just below 40 percent of the respondents considered a NATO membership as the ultimate and only security guarantee, while approximately the same number were willing to accept other security guarantees. In the 2023 survey, the share of the former response category increased to 58 percent (with a slight difference within regions – 64 percent in the West and 48 percent in Eastern Ukraine), – while the latter dropped to 25 percent. Furthermore, 76 percent were not willing to accept forgoing a NATO membership as a condition for peace (KIIS, 2023).

Conclusion

Public opinion in Ukraine, including attitudes towards a NATO membership, has been drastically affected by the Russian aggression in 2014, and even more so by the ongoing war. As survey results show, each subsequent round of Russian aggression on Ukraine has only increased the share of NATO membership supporters and decreased the number of respondents indecisive on whether Ukraine should join NATO. Additionally, regional differences in attitudes between the Eastern and Western parts of Ukraine have also smoothened. These changes imply a deep transformation in societal views, where the meaning of living in peace for Ukrainians has transformed from the idea of “non-alignment” into perceiving a NATO membership as a security guarantee and a prerequisite for future peace.

While the transformation of public opinion is important per se, it is only one example of the groundbreaking changes the Ukrainian society has especially undertaken since the invasion in 2022. The necessity to fight the Russian invasion brought about unprecedented consolidation and feelings of a national identity. This, in turn, provides an essential foundation for building trust and active political participation, strengthening the grounds for an effective democratic society.

References

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

What Ukrainians Expect From Reforms

Posted on March 2, 2015 | Policy Brief

Author: Tom Coupé, KSE.

Ukraine needs reforms badly. However, there is a huge difference in how the government, the expert community, and the general public understand reforms. According to a recent survey conducted by a prominent Ukrainian newspaper, people expect that reforms should, in the first place, improve their personal wellbeing. However, research findings beware that in the short run structural changes in the country can worsen economic performance and increase inequality. To reduce the pain of unmet expectations and popular discontent, the government should openly communicate any difficulties to come, and wisely mix the most painfull measures, like the increase of tariffs for the use of public infrastructure, with empowering changes that give citizens a sence of progress, like actions that strengthen democracy and help SMEs to flourish.

Macroeconomic Performance and Preferences for Democracy

Posted on February 16, 2014 | Policy Brief

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This policy brief summarizes the results of our research on factors influencing preferences for democracy in transition countries. The aim of this work was to detect which macroeconomic and individual factors impact the choice of supporting democracy. The results showed that the performance of the country, described by level of GDP, unemployment, level of corruption and economic growth, has a serious impact on an individual’s perception of democracy. At the same time, individual factors like education and age also influence people’s choice of support of democratic authorities.

Individual perception of democracy is a question that attracts the attention of policymakers.  The macroeconomic instability that has been observed worldwide lately is likely to impact individual attitude toward democratic values and political institutions. The recent economic crisis brought a deterioration of the economic situation around the world and provided new challenges to cope with. It is likely that macroeconomic indicators have an impact on how a person perceives democracy. Literature studying similar questions has shown that GDP growth, unemployment and inflation all affect personal attitude to democratic institutions (Clarke et. al., 1994; Barro, 1999; Papaioannou and Siourounis, 2008). As for individual characteristics, the level of education is revealed by the literature as a very important factor in the context of the individual’s propensity of democracy approval.

The literature on the determinants of political support and attitudes to democracy was mostly focusing on exploring stable world economies with long-formed and steady-functioning democracies. We tried to look at a similar question in the context of transition economies, where democratic institutions are still under development.

We intend to estimate individuals’ propensity to favor democratic values. The specification of our econometric model was based on the literature addressing the same topic. The estimation procedure used probit econometric techniques, which allows for the calculation of the propensities of interest while taking into account the influence of both macroeconomic factors and individual characteristics. The paper used two sources of data: macroeconomic information was collected from the World Development Indicators of the World Bank, and individual-level cross-sectional data was obtained from Life in Transition Survey (LITS) 2010, which initially covered 38864 individuals from 35 countries. However, as the paper focuses on countries in transition, the final set only included individuals from 30 countries, most from Eastern Europe, Baltics and CIS, and excluded representatives of Western Europe. This data allowed for substantial data variation in the context of economic development vs. perception of democratic values (Graph 1).

Figure 1. Support of Democracy and GDP Per Capita
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Source: WDI and LITS 2010

Inclusion of different macroeconomic variables together with individual factors allowed for an evaluation of their importance and level of impact on the perception of democratic values (Table 1). The results show that GDP per capita has a positive and significant effect on individuals’ perception of democratic values, which is in line with the literature claiming that standard of living in countries with not so high level of GDP is positively correlated with satisfaction with their life and the political system (Easterlin, 1995; Clark et al., 2008; Stevenson and Wolfers, 2008). Inflation rates are not significant and do not influence individuals’ attitude to democracy. On the other hand, economic growth is strictly positive and significant, and an increase of the economic growth rate raises propensity of democratic support by around 1.6 percentage points. The possible explanation here is that the growth rate of GDP works as a proxy of expectations for improvements of the standard of living in the future.

Table 1. Influence of Macroeconomic and Individual Factors on Perception of Democracy
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Unemployment works as an indicator of a country‘s economic performance and has an expected negative sign in terms of individuals’ satisfaction with life and political institutions, which is also in line with the results in the literature (Di Tella et al., 2001; Wagner and Schneider, 2006). Impact of unemployment was tested using a cross product of unemployment and the Freedom House Index (this latter indicator shows the level of political and civil rights from 1 (most free) to 7 (least free)). The sign on this cross product is positive, which captures their mutual positive impact on the support for democracy. Thus, the higher the unemployment in a country with a low level of democratization is, the larger the probability of democratic support by individuals in these countries is.  The indicator for the level of corruption in a country was also taken into account, via the Corruption Perception Index. This index ranks countries on a scale from 0 (highly corrupt) to 10 (effectively, corruption-free). The results show that the less corrupt a country is, the higher the propensity that an individual in that country will support democracy is. In fact, one additional point in the index increases the propensity of support by almost 4 percentage points. Military expenditures negatively affect the support of democratic values, and so does the existence of oil in the country. Here, military expenditures may be seen as a proxy for a less democratic regime, so that the leaders there have higher incentives to rule using suppressive measures with a support of military force in the country (Mulligan, Gil and Sala-i-Martin, 2004).

As for the individual factors, both secondary and higher education appear to be very important factors with a positive impact on the satisfaction with democracy. This finding follows the literature (Barro, 1999; Przeworski et al., 2000; Glaeser et al., 2004). In our results, people with secondary or higher education degree showed 10 and 18 percentage points higher propensity of support, respectively. Age also seem to matter: positive perception of democracy is specific to those aged 18-54, compared to the older generation, which goes in line with the explanation that senior citizens are more conservative than younger citizens. We also observe a negative significant coefficient on female gender, which may, perhaps, be related to women being more conservative than men.

Subjective relative income measure (answer to the question “to which income quintile do you think you belong to?”) has a positive impact on the support for democracy. Surprisingly, individuals from middle-income group have a more positive attitude than those who regard themselves as rich. Employment status is positively correlated with the support for democracy. Moreover, self-employment and employment in the public sector have a larger effect on the propensity of positive attitude to democratic values than employment in the private sector.

Divorced and widowed people expressed less support for democracy than single individuals, which might signal some dissatisfaction that impacts on personal attitude. Urban residency is positively correlated with the support of democracy. The same relationship is present for the risk tolerance of an individual. Finally, inclusion of a subjective measure of life satisfaction brought some changes to the general picture. It appeared that those who are satisfied with life strongly support the democratic values and such mentality raises the propensity of support by 7 percentage points. Moreover, inclusion of this variable makes the effect of being rich insignificant.

To sum up, the results showed that economic performance of the country described by various macroeconomic indicators has a serious impact on individual’s perception of democracy and, most probably, of other forms of government. At the same time individual factors also influence people’s satisfaction with the authorities. Thus, individual support of a political system is based on the results of performance of both the individual and the country.

References

  • Barro R. 1999. “Determinants of Democracy.”Journal of Political Economy 107, #S6.
  • Clark A. and Oswald A.J. 1994.“Unhappiness and Unemployment.”EconomicJournal104.
  • Clark A., FrijtersP. and Shields M. 2008. “Relative Income,Happiness and Utility: An Explanation for the Easterlin Paradox and Other Puzzles.” Journal of Economic Literature46,# 1.
  • DiTellaR., MacCulloch R.J., Oswald A.J. 2001. “Preferences over inflation and unemployment: Evidence from surveys of happiness.”American Economic Review91.
  • Easterlin R. 1995. “Will Raising the Incomes of All Increase the Happiness of All?”Journal of Economic Behavior and Organization27, # 1.
  • Glaeser E., La PortaR., Lopez-de-SilanesF. and ShleiferA. 2004.“Do Institutions Cause Growth?” Journal of Economic Growth.9, #3.
  • Mulligan C.B., Gil R. and Sala-i-Martin X. 2004. “Do Democracies HaveDifferent Public Policies than Nondemocracies?” Journal of Economic Perspectives18, #1.
  • Papaioannou, E. and Siourounis G. 2008.“Economic and Social Factors Drivingthe Third Wave of Democratization.” Journal of Comparative Economics36, #3.
  • Prezworski A., Alvarez M., Cheibub J. and LimongiF. 1996. “WhatMakes Democracy Endure?” Journal of Democracy 7, #1.
  • Stevenson, B. and Wolfers, J. 2008. “Economic Growth and SubjectiveWell-Being: Reassessing the Easterlin Paradox.” Brookings Papers on Economic Activity  1.
  • Wagner A.F. andSchneider F. 2006. “Satisfaction with Democracy and the Environment in Western Europe: A Panel Analysis.” IZA Discussion Papers 1929, Institute for the Study of Labor (IZA).

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.