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Abstract

This report investigates the political dimensions of social cohesion in Europe, offering a 20-year perspective derived from 10 rounds of the European Social Survey. It scrutinises trends and regional variations in political participation, examining correlations with levels of institutional distrust and discontent. In addition, the report explores political engagement amid the COVID-19 pandemic, utilising insights from the Living, working and COVID-19 e-survey. Unemployment emerges as the primary driver of political disengagement, a pivotal finding of the analysis.

Furthermore, the report uncovers significant disparities in political engagement across European regions. Regions with well-educated populations tend to exhibit higher levels of political activity, and economic prosperity and migration rates have only a modest influence on political activity. 

The report also highlights the variation in institutional distrust across regions. Nordic countries display markedly lower levels of distrust in their institutions than continental countries, whereas in eastern European and Mediterranean countries levels are markedly higher.

Key messages

  • Despite current disaffection in Europe, citizens have consistently participated in the democratic process over the past two decades, including voting. New findings reveal that engagement increases during times of crisis, such as the financial crisis in 2007 and 2008, the European debt crisis of 2010–2012 and the COVID-19 crisis. 
     

  • Notwithstanding clear country variations, over the past 20 years there has been a convergence between regions with higher and lower political participation in Europe. Regions with lower levels of participation are now moving closer to the levels in high-performing regions. 
     

  • Findings show that discontent – expressed in institutional trust and satisfaction with public institutions – increased during times of hardship, such as the financial crises of 2007–2008 and the COVID-19 pandemic, with important regional differences. Discontent in Nordic and continental European countries and Ireland remained low and constant from 2003 to 2020, with a slight rise from 2010, whereas Italy and Spain experienced growing discontent from 2002 onwards. 
     

  • Findings show a clear relationship between discontent and non-voting, with discontent being expressed through lower rates of voting. At the same time, findings show low discontent leads to higher levels of protesting, however this relationship becomes weaker when geographical and socioeconomic factors are considered. 
     

  • Unemployment emerged in the findings as a predominant catalyst for lower political engagement with the higher the unemployment rate, the higher the levels of non-voting and protesting. A similar pattern was visible during the COVID-19 pandemic, highlighting that while providing immediate income support during economic crises remains vital, it is equally imperative to prioritise initiatives geared towards job creation.

Executive summary

In the past two decades, Europe has faced a series of challenges. The 2007–2008 financial crisis, which led to an economic recession and austerity, was followed by the European debt crisis in 2010, a migration crisis in 2015 and the Brexit referendum in 2016. More recently, Europe was hit by COVID-19, the worst pandemic since the Spanish flu, and Russia’s war of aggression against Ukraine has resulted in a severe inflation crisis. In addition, important structural changes are ongoing: the population is ageing rapidly, challenging our social security systems and intergenerational solidarity; rapid digitalisation is changing labour markets; and the consequences of global warming are now starting to be felt on the European continent. Given these challenges, policymakers have begun worrying about the social relations that hold the EU together, partly because of the recent increase in political polarisation, the weakening of social cohesion and the increase in discontent with institutions across Europe. 
 

Against this backdrop, it is important to investigate whether people who choose not to participate in the political process are more likely to express distrust in institutions. Are certain countries more likely to express dissatisfaction through stronger political activities? Do cohesive societies enable a climate of trust and participation? As social cohesion is characterised by togetherness, resilience and a focus on the common good, how does it affect political participation? Focusing on the political dimensions of social cohesion, this report demonstrates how social cohesion has evolved in Europe and, in particular, how political participation is directly related to the legitimacy of political institutions. 
 

Policy context

Social cohesion is a challenging concept to define, but it is associated with strong social trust, well-functioning communities, political participation, engagement and social inclusion. Social cohesion comes with improving social trust, which is associated with high economic prosperity, low inequality and low corruption. The political dimensions of social cohesion include institutional legitimacy (how much citizens trust and approve of institutions) and citizens’ political participation. Therefore, stronger cohesion is expressed through stronger institutional trust, which is important for a healthy functioning of democracy and hence fundamental to the EU, and citizens being politically engaged. 
 

The onset of austerity after the 2007–2009 financial crisis was interpreted by many as an institutional failure, worsening the public’s perception of politicians’ management of public finances and their integrity. Globalisation has disrupted traditional industries in many European countries. In this new political landscape, many populists leveraged the increase in migration flows partly generated by the refugee crisis triggered by the conflict in Syria in 2015. 
 

It is clear that the consequences of these crises have differed across the EU Member States. For instance, the austerity following the 2007–2008 financial crisis was far worse for some countries than for others. Greece, Italy, Portugal and Spain experienced a dramatic surge in youth unemployment, and any reversal in that trend was hampered by the subsequent European debt crisis. Other countries, for example the Nordic countries, fared considerably better. 
 

It is also clear that the crises have had different impacts on social cohesion. The economic recession of 2008 was different from the COVID-19 pandemic because blame attribution differed and these crises did not affect the same social strata of the European population. 
 

Over the past two decades, Europe has seen a rise in political polarisation and populism, a trend that manifests, in part, through anti-establishment attitudes and, in some cases, a drift towards authoritarian rule. Several indicators suggest that trust in national establishments and institutions has eroded, which is usually accompanied by increased discontent.

 

Key findings

  • There was no evidence of a decline in political social cohesion in the past 20 years in Europe. Despite the existing disaffection, citizens have consistently participated in the democratic process, including voting, over the past two decades. Their engagement appears to increase during times of crisis, such as during the financial crisis in 2007 and 2008, the European debt crisis of 2010–2012 and the COVID-19 crisis.

 

  • Unemployment is a key factor in political participation. There are notable differences across Europe; for instance, unemployment does not result in stronger political participation in the Nordic, western Mediterranean and central and eastern European regions, whereas unemployment resulted in stronger political participation in continental Europe and Ireland.

 

  • Unemployment is important for political engagement through protesting: the higher the unemployment rate, the higher the levels of protest.

 

  • Political activity tends to be higher in areas where the population is older and better educated. Surprisingly, economic prosperity and migration rates do not seem to play a significant role, except in eastern Mediterranean and Balkan countries, where political engagement is notably higher.

 

  • Electoral absenteeism, on the other hand, is influenced primarily by unemployment. Unemployed individuals are generally less likely to vote, and rural areas tend to have lower voter turnout.

 

  • Electoral participation is closely linked to political legitimacy: citizens are more likely to vote when they have confidence in their political institutions.

 

  • There is a tendency for regions with higher levels of protest to also have higher voter turnout, indicating a correlation between active engagement and voting behaviour. When there is a dip (at least a slight one) in non-voting, we see an increase in protest.

 

  • Institutional distrust differs between regions. For example, those in Nordic countries show considerably less distrust in their institutions than those in continental Europe. Economic factors, such as economic development, tend to decrease institutional distrust, although the influence of unemployment is relatively minor.

 

  • There is a positive connection between engagement in political activities and institutional trust. The effect of satisfaction with democracy and the government on voter absenteeism is six times larger than on political engagement. To put it simply, the connection between voter turnout and discontent is significantly more robust than the link between political involvement and discontent.

 

  • When dissatisfaction in institutions goes up, so does distrust, and vice versa. In particular, distrust in institutions and dissatisfaction appear to increase during hardship, such as during the 2008 economic crisis and the COVID-19 pandemic.

 

Policy pointers

  • Staying employed and securing work opportunities are crucial factors. Unemployment stands out as the primary cause of reduced political involvement, which leads to dissatisfaction with institutions. While providing income support during economic shocks is essential for immediate relief, it is equally important to create employment opportunities.

 

  • During crises, unemployment rates tend to rise more dramatically among young people. It is crucial for policymakers to focus their efforts on this group, as a lack of employment opportunities for young individuals can have lasting negative effects on their long-term political engagement.

 

  • To ensure employment opportunities for young people during crises, we must enhance access to education to enable them to build resilience and better prepare themselves for navigating an increasingly uncertain future. A greater focus on addressing and developing job guarantee schemes is equally important.

 

  • Creating a positive feedback loop between social cohesion and political participation is vital. Strengthening social cohesion increases political engagement and vice versa.

 

  • There is no uniform trend of growing political discontent across Europe. Instead, there are significant variations between different nation states. Consequently, there is not a one-size-fits-all policy approach that can be effective everywhere.

The report contains the following lists of tables and figures.

List of tables

  • Table 1: Typology of the dimensions of social cohesion
  • Table 2: General characteristics of the European Social Survey and the Living, working and COVID-19 e-survey
  • Table A1: Regression analysis results for voice and exit for the ESS, by regional characteristics and interactions
  • Table A2: Regression analysis results for exit and voice for the Living, working and COVID-19 e-survey, by sociodemographic characteristics and interactions
  • Table A3: Correlation and Cronbach’s alpha between the six variables constituting the distrust index in the ESS dataset
  • Table A4: Correlation and Cronbach’s alpha between the three variables constituting the distrust index in the Living, working and COVID-19 dataset
  • Table A5: Correlation and Cronbach’s alpha between the five variables constituting the dissatisfaction index in the ESS dataset
  • Table A6: Correlation and Cronbach’s alpha between the five variables constituting the dissatisfaction index in the Living, working and COVID-19 e-survey dataset
  • Table A7: Correlation and Cronbach’s alpha between the distrust and dissatisfaction indexes in the ESS dataset
  • Table A8: Correlation and Cronbach’s alpha between the distrust and dissatisfaction indexes in the Living, working and COVID-19 e-survey dataset
  • Table A9: Correlation and Cronbach’s alpha between the three variables constituting the social index in the ESS dataset
  • Table A10: Regression analysis results for distrust for the ESS, by political participation, regional characteristics and interactions
  • Table A11: Regression analysis results for dissatisfaction for the ESS, by political participation, regional characteristics and interactions
  • Table A12: Regression analysis results for distrust for the Living, working and COVID-19 e-survey, by political participation, sociodemographic characteristics and interactions
  • Table A13: Regression analysis results for dissatisfaction for the Living, working and COVID-19 e-survey, by political participation, sociodemographic characteristics and interactions

List of figures

  • Figure 1: Trends in voice (protest) and exit (not voting) ratios, by ESS round, 2002–2020
  • Figure 2: Trends in voice (protest) and exit (not voting), by country, 2002–2020
  • Figure 3: Trends in voice (protest) and exit (not voting), by country cluster, 2002–2020
  • Figure 4: Change in exit (not voting) quintiles, 2002–2020
  • Figure 5: Change in voice (protest) quintiles, 2002–2020
  • Figure 6: Change in variance of exit (not voting) levels, by country, 2002–2020
  • Figure 7: Change in the variance of voice (protest) levels, by country, 2002–2020
  • Figure 8: Trends in exit levels for regions with low and high levels of exit (not voting) (in the lowest and highest quintiles) in 2002
  • Figure 9: Trends in voice levels for regions with low and high levels of voice (protest) (in the lowest and highest quintiles) in 2002
  • Figure 10: Coefficients of exit (not voting) based on the ESS dataset, by regional characteristics (regression analysis)
  • Figure 11: Coefficients of exit (not voting) based on the ESS dataset, by regional characteristics and interactions (regression analysis)
  • Figure 12: Coefficients of voice (protest) based on the ESS dataset, by regional characteristics (regression analysis)
  • Figure 13: Coefficients of voice (protest) based on the ESS dataset, by regional characteristics and interactions (regression analysis)
  • Figure 14: Voice (protest) and exit (not voting) levels based on the Living, working and COVID-19 e-survey, by country cluster
  • Figure 15: Coefficients of exit (not voting) based on the Living, working and COVID-19 e-survey, by sociodemographic characteristics (regression analysis)
  • Figure 16: Coefficients of voice (protest) based on the Living, working and COVID-19 e-survey, by sociodemographic characteristics (regression analysis)
  • Figure 17: Association between dissatisfaction and distrust indexes based on the ESS, 2002–2020
  • Figure 18: Trends in distrust and dissatisfaction, by ESS round, 2002–2020
  • Figure 19: Trends in distrust and dissatisfaction based on the ESS, by country, 2002–2020
  • Figure 20: Trends in distrust and dissatisfaction based on the ESS, by country cluster, 2002–2020
  • Figure 21: Change in distrust, by quintile, 2002–2020
  • Figure 22: Change in dissatisfaction, by quintile, 2002–2020
  • Figure 23: Change in the variance of distrust levels, by country, 2002–2020
  • Figure 24: Change in the variance of dissatisfaction levels, by country, 2002–2020
  • Figure 25: Trends in distrust levels for regions with low and high levels (in the lowest and highest quintiles) in 2002
  • Figure 26: Trends in dissatisfaction levels for regions with low and high levels (in the lowest and highest quintiles) in 2002
  • Figure 27: Trends in distrust based on Living, working and COVID-19 e-survey rounds, 2020–2022
  • Figure 28: Levels of distrust, by country cluster, age group and Living, working and COVID-19 e-survey round, 2020–2022
  • Figure 29: Dissatisfaction levels based on the Living, working and COVID-19 e-survey, by country cluster and age group, 2021
  • Figure 30: Association between social trust and determinants of social cohesion in the ESS, 2002–2020
  • Figure 31: Coefficients of distrust based on the ESS dataset, by political participation (regression analysis)
  • Figure 32: Coefficients of distrust based on the ESS dataset, by political participation and regional characteristics (regression analysis)
  • Figure 33: Coefficients of dissatisfaction based on the ESS dataset, by political participation (regression analysis)
  • Figure 34: Coefficients of dissatisfaction based on the ESS dataset, by political participation and regional characteristics (regression analysis)
  • Figure 35: Coefficients of distrust based on the Living, working and COVID-19 e-survey dataset, by political participation and sociodemographic characteristics (regression analysis)
  • Figure 36: Coefficients of distrust based on the Living, working and COVID-19 e-survey dataset, by interactions (regression analysis)
  • Figure 37: Coefficients of dissatisfaction based on the Living, working and COVID-19 e-survey dataset, by political participation and sociodemographic characteristics (regression analysis)
  • Figure 38: Coefficients of dissatisfaction based on the Living, working and COVID-19 e-survey dataset, by interactions (regression analysis)
Number of pages
78
Reference nº
EF23012
ISBN
978-92-897-2402-9
Catalogue nº
TJ-09-24-212-EN-N
DOI
10.2806/051385
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