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The connection between economic growth and population growth has been considerably played down by economists in the last hundred years, whereas eighteenth- and nineteenth-century economists seldom discussed development without considering the effect of population growth. The earlier writers were not unanimous – as they are not today – on the optimum size and rate of growth of population and its effect on the gross national product per capita.

In this paper, we examine the relationship between income and income satisfaction in the pool of developed European economies, for the period between 2002 and 2018. Although the nexus between income and most subjective well-being indicators is frequently investigated in prior studies, the research investigating the relationship between income and income satisfaction over time is non-existing. We find that during the observed period real disposable household income significantly increased, while the satisfaction with household income remained constant. Furthermore, the analysis within hierarchical linear modeling shows that while between-country variations in income affect income satisfaction, this is not the case for income variations over time. Our findings support the notion of the Easterlin paradox, which indicates that in the long-run increases in income do not lead to higher levels of well-being. Explanations for such results may be found in the social comparison theory, hedonic adaptation theory and aspiration level theory: increasing income does not bring positive effects on income satisfaction due to relevance of the relative and not the absolute income, adaptation to income changes, or higher levels of aspirations resulting from income rise.

Background:Income inequality is associated with numerous negative health outcomes. There is evidence that ecological-level socio-environmental factors may increase risk for schizophrenia.Aims:The aim was to investigate whether measures of income inequality are associated with incidence of schizophrenia at the country level.Method:We conducted a systematic review of incidence rates for schizophrenia, reported between 1975 and 2011. For each country, national measures of income inequality (Gini coefficient) along with covariate risk factors for schizophrenia were obtained. Multi-level mixed-effects Poisson regression was performed to investigate the relationship between Gini coefficients and incidence rates of schizophrenia controlling for covariates.Results:One hundred and seven incidence rates (from 26 countries) were included. Mean incidence of schizophrenia was 18.50 per 100,000 (SD = 11.9; range = 1.7–67). There was a significant positive relationship between incidence rate of schizophrenia and Gini coefficient ( β = 1.02; Z = 2.28; p = .02; 95% CI = 1.00, 1.03).Conclusions:Countries characterized by a large rich–poor gap may be at increased risk of schizophrenia. We suggest that income inequality impacts negatively on social cohesion, eroding social capital, and that chronic stress associated with living in highly disparate societies places individuals at risk of schizophrenia.