SummaryWe undertook a systematic review of studies assessing the association between socioeconomic status (SES) and measured obesity in low- and middle-income countries (defined by the World Bank as countries with per capita income up to US$12,275) among children, men and women. The evidence on the subject has grown significantly since an earlier influential review was published in 2004. We find that in low-income countries or in countries with low human development index (HDI), the association between SES and obesity appears to be positive for both men and women: the more affluent and/or those with higher educational attainment tend to be more likely to be obese. However, in middle-income countries or in countries with medium HDI, the association becomes largely mixed for men and mainly negative for women. This particular shift appears to occur at an even lower level of per capita income than suggested by an influential earlier review. By contrast, obesity in children appears to be predominantly a problem of the rich in low- and middle-income countries.

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We assess the causal relationship between health and social capital, measured by generalized trust, both at the individual and the community level. The paper contributes to the literature in two ways: it tackles the problems of endogeneity and reverse causation between social capital and health by estimating a simultaneous equation model, and it explicitly accounts for mis-reporting in self-reported trust. The inter-relationship is tested using data from the first four waves of the European Social Survey for 25 European countries, supplemented by regional data from Eurostat. Our estimates show that a causal and positive relationship between self-perceived health and social capital does exist and that it acts in both directions. In addition, the magnitude of the structural coefficients suggests that individual social capital is a strong determinant of health, whereas community level social capital plays a considerably smaller role in determining health.

In this paper, we investigate how the institutional setting affects the diffusion of green crowdfunding campaigns across countries. To this aim, we develop and test two competing hypotheses about the association between country environmental sustainability orientation and the diffusion of green campaigns. To identify green campaigns, we develop an original machinelearning algorithm. We apply this algorithm to the population of 48,598 campaigns presented on Kickstarter between July 1, 2009 and July 1, 2012. By means of econometric estimates, we show that green campaigns differ from others along several dimensions and are more diffused in countries with a limited environmental sustainability orientation. Implications for research, practice, and policy are discussed.

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