Abstract
Which societal characteristics shape social cohesion, and which are shaped by cohesion? With this chapter the book switches to explanatory mode. We aim to find to what extent and in which direction cohesion correlates with theoretically informed macro-level characteristics. The latter have been grouped in seven thematic sets: wealth and economic situation; income inequality and the welfare state; demography; degree of modernization in social structures; diversity; culture and values; and subjective well-being. The analyses use time-lagged correlations, controlling for the level of national wealth: earlier measurements of the societal characteristics have been correlated with later measurements of the cohesion index (cohesion as outcome) and vice versa (cohesion as determinant). Among the strongest predictors of social cohesion are society’s progress towards a knowledge economy, national affluence, and a small gap between the rich and the poor. Neither globalization nor migration has any effect on the degree of social cohesion. Cohesion, in turn, is particularly important for the happiness of nations in terms of life satisfaction, as well as for human development and lower unemployment. The chapter provides in addition the associations of the studied macro-level characteristics with each of the nine dimensions of social cohesion.
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Notes
- 1.
Under ideal circumstances, we would pursue these questions with cross-lagged models in a structural equation modelling framework (Kline 2005). This, however, is not possible due to the low number of cases, 34, in an estimation of 32 parameters involving four waves.
References
Beauvais, C., & Jenson, J. (2002). Social cohesion: Updating the state of the research. Ottawa: Canadian Policy Research Network.
Dreher, A., Gaston, N., & Martens, P. (2008). KOF index of globalization. Measuring globalisation—gauging its consequences. New York: Springer.
Enders, C. K. (2010). Applied missing data analysis. New York: The Guilford Press.
Eurostat. (2014). Percentage of total population at risk of poverty (60% of median equivalized income after social transfers. Retrieved March 18, 2014 from http://ec.europa.eu/eurostat/data/database
GWP. (2013). Gallup world poll. Dataset. Washington, DC: The Gallup Organization.
Inglehart, R. (1997). Modernization and postmodernization: Cultural, economic, and political change in 43 societies. Princeton, New Jersey: Princeton University Press.
Kline, R. B. (2005). Principles and practice of structural equation modeling. New York: Guilford Press.
Norris, P., & Inglehart, R. (2004). Sacred and secular: Religion and politics worldwide. New York: Cambridge University Press.
OECD. (2012). Social expenditure: Aggregated data. OECD Social Expenditure Statistics.
Putnam, R. (2007). E pluribus unum: Diversity and community in the twenty-first century. The 2006 Johan Skytte prize lecture. Scandinavian Political Studies, 30(2), 137–174.
Rothstein, B., & Uslaner, E. (2005). All for all. Equality, corruption, and social trust. World Politics, 58(1), 41–72.
Rözer, J., & Kraaykamp, G. (2013). Income inequality and subjective well-being: A cross-national study on the conditional effects of individual and national characteristics. Social Indicators Research, 113(3), 1009–1023.
Solt, F. (2009). Standardizing the world income inequality database. Social Science Quarterly, 90(2), 231–242.
StataCorp. (2011). Stata statistical software (12th ed.). College Station, TX: StataCorp LP.
UN. (2013). International migration 2013. New York: United Nations Department of Economic and Social Affairs.
UNDP. (2013). Human development report. International human development indicators. New York: United Nations Development Programme.
Uslaner, E. (2002). The moral foundation of trust. Cambridge: Cambridge University Press.
Uslaner, E. (2012). Segregation and mistrust: Diversity, isolation, and social cohesion. Cambridge: Cambridge University Press.
Van der Meer, T., & Tolsma, J. (2014). Ethnic diversity and its effects on social cohesion. Annual Review of Sociology, 40, 459–478.
Van Oorschot, W., Arts, W., & Halman, L. (2005). Welfare state effects on social capital and informal solidarity in the European Union: Evidence from the 1999/2000 European Values Study. Policy & Politics, 33(1), 33–54.
Veenhoven, R. (2010). How universal is happiness. In E. Diener, D. Kahnemann & J. F. Helliwell (Eds.), International differences in well-being (pp. 328–350). New York: Oxford University Press.
Wilkinson, R. G., & Pickett, K. (2010). The spirit level. Why equality is better for everyone. London, New York: Penguin Books.
World Bank. (2012). World development indicators. Washingtion DC: World Bank.
WVS. (2009). World values survey 1981–2008 official aggregate v.20090901. World Values Survey Association. Madrid: ASEP/JDS.
WVS. (2015). World values Survey Wave 6 2010–2014 official aggregate v.20150418. Madrid: Asep/JDS.
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Dragolov, G., Ignácz, Z.S., Lorenz, J., Delhey, J., Boehnke, K., Unzicker, K. (2016). Macro-Level Causes and Effects of Social Cohesion. In: Social Cohesion in the Western World. SpringerBriefs in Well-Being and Quality of Life Research. Springer, Cham. https://doi.org/10.1007/978-3-319-32464-7_5
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