Income Inequality, Social Cohesion, and Class Relations: A Critique of Wilkinson's Neo-Durkheimian Research Program

Author(s):  
Carles Muntaner ◽  
John Lynch
1999 ◽  
Vol 29 (4) ◽  
pp. 699-732 ◽  
Author(s):  
Carles Muntaner ◽  
John Lynch ◽  
Gary L. Oates

2020 ◽  
Vol Volume 4 (Issue 3) ◽  
pp. 207-231
Author(s):  
Muhammad Nadeem ◽  
Mumtaz Anwar ◽  
Zahid Pervaiz

Diversity and socioeconomic deprivation have been widely discussed as determinants of social cohesion. These two factors are considered to be a threat to social cohesion. The existing literature identifies the problem however the literature suggesting the solution is very limited. The most important determinant which can cure the problems of social cohesion is the better quality of institutions, however, the literature on this aspect is very scant. Current study has investigated the impact of institutional quality on social cohesion. Current study employs the fixed effect model for estimation. The analysis is conducted for 135 countries, using five-year average panel data. The results suggest that institutional quality augments social cohesion, while ethnic diversity, income inequality, and globalization are a threat to social cohesion. Gender equality and per capita income also augment social cohesion. Moreover, the threat to social cohesion is greater when there is: low institutional quality and high: ethnic diversity, and income inequality as compared to a situation where there are high institutional quality and low: ethnic diversity, and income inequality. The results further suggest that the harmful effects of ethnic diversity, globalization, and inequality can be, not only overcome by institutional quality but can also be put to use to enhance social cohesion.


2021 ◽  
Author(s):  
Roman Pabayo ◽  
Daniel M. Cook ◽  
Gregory Farmer ◽  
Beth E. Molnar

Abstract Background Previous research has indicated that area-level income inequality is associated with increased risk in alcohol consumption. However, few studies have been conducted among adolescents living within smaller area-units, such as neighborhoods. Methods We analyzed cross-sectional data from a sample of 1,878 adolescents living in 38 neighborhoods participating in the 2008 Boston Youth Survey. Multilevel logistic regression modeling was used to determine the role of neighborhood income inequality and the odds for alcohol consumption and to determine if social cohesion and depressive symptoms were mediators. Results In comparison to the first tertile of income inequality, or the most equal neighborhood, those living in the second tertile (AOR = 1.20, 95% CI: 0.89, 1.61) and third tertile (AOR = 1.44, 95% CI: 1.06, 1.96) were more likely to have consumed alcohol in the last 30 days. Social cohesion and depressive symptoms were not observed to mediate this relationship. Conclusions Findings indicate that the distribution of incomes within urban areas may be related to alcohol consumption among adolescents. To prevent alcohol consumption, public health practitioners should prioritize prevention efforts for adolescents living in neighborhoods with large gaps between rich and poor.


2019 ◽  
Vol 149 (1) ◽  
pp. 87-125 ◽  
Author(s):  
Jan Delhey ◽  
Leonie C. Steckermeier

AbstractThe income inequality hypothesis claims that in rich societies inequality causes a range of health and social problems (henceforth: social ills), e.g. because economic inequality induces feelings of status anxiety and corrodes social cohesion. This paper provides an encompassing test of the income inequality hypothesis by exploring levels and breeding conditions of social ills in 40 affluent countries worldwide, as well as pathways for a subsample of wealthy European countries. Our aggregate-level research is based on a revised and updated Index of Social Ills inspired by Wilkinson and Pickett’s book The Spirit Level, which we compile for both more countries (40) and more years (2000–2015) and combine with survey information about experienced quality-of-life as potential mediators. We get three major results: First, cross-sectionally income inequality is indeed strongly and consistently related to social ills, but so is economic prosperity. Second, while longitudinally changes in inequality do not result in changing levels of social ills, rising prosperity effectively reduces the amount of social ills, at least in Europe. Finally, whereas the cross-sectional analysis indicates that aspects of social cohesion most consistently mediate between economic conditions and social ills, the longitudinal mediation analyses could not ultimately clarify through which pathway rising prosperity reduces social ills. Overall we conclude that the income inequality hypothesis is, at best, too narrow to fully understand health and social problems in rich countries.


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