This study presents quantitative, sociological models designed to account for cross-national variation in infant mortality rates. We consider variables linked to four different theoretical perspectives: the economic modernization, the social modernization, the political modernization, and the dependency perspectives. The study is based on a panel regression analysis of a sample of fifty-nine developing countries. Our preliminary analysis based on additive models replicates prior studies to the extent that we find that indicators linked to economic and social modernization have beneficial effects on infant mortality. We also find support for hypotheses derived from the dependency perspective suggesting that multinational corporate penetration fosters higher levels of infant mortality. Subsequent analysis incorporating interaction effects suggest that the level of political democracy conditions the effects of dependency relationships based upon exports, investments from multinational corporations, and international lending institutions. Transnational economic linkages associated with exports, multinational corporations, and international lending institutions adversely affect infant mortality more strongly at lower levels of democracy than at higher levels of democracy; that is intranational, political factors interact with the international, economic forces to affect infant mortality. We conclude with some brief policy recommendations and suggestions for the direction of future research.3

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There have been a few cross-national studies published that examine the determinants of threatened mammal species. However, these studies neglect insights from both ecologically unequal exchange theory and world polity theory. We seek to address this gap in the literature using cross-national data for a sample of 74 nations to construct negative binomial regression models with the number of threatened mammal species as the dependent variable. In doing so, we find substantial support for ecologically unequal exchange theory that flows of primary sector exports from poor to rich nations are associated with higher levels of threatened mammals in poor nations. We also find support for world polity theory that environmental non-governmental organizations are associated with lower levels of threatened mammals in poor nations. We conclude with a discussion of the findings, some policy implications, and possible directions for future research.

The authors conduct a cross-national analysis that seeks to accomplish two important goals. First, they test dependency theory’s hypotheses that World Bank structural adjustment adversely affects child mortality in Sub-Saharan Africa. Second, they empirically evaluate the effect of access to clean water and basic sanitation on child mortality. In doing so, they use two-way fixed effects regression models to analyze child mortality using data on 31 nations and four time points (1990, 1995, 2000, and 2005). They find substantial support for their first goal relating to dependency theory that when a Sub-Saharan African nation is under a World Bank structural adjustment loan, then it tends to have higher levels of child mortality. They also find support for their second goal concerning the importance of including environmental variables in cross-national research on health. Specifically, they find that higher levels of access to an improved water source and an improved sanitation facility are associated with lower levels of child mortality within Sub-Saharan African nations. The authors conclude by discussing the findings, theoretical implications, methodological implications, policy suggestions, and possible directions for future research.

This quantitative, cross‐national study is designed to test hypotheses linking the activities of international nongovernmental organizations to reductions in carbon dioxide emissions in the developing world. While many quantitative studies of variation in carbon dioxide emissions have been published, none have included a control for the presence of international nongovernmental organizations. We review the literature that discusses the many ways that international nongovernmental organizations work to reduce environmental degradation in developing nations. We then conduct a panel regression analysis in which we include a variable to estimate the effects of international nongovernmental organizations on carbon dioxide emissions while including variables suggested by other relevant theoretical perspectives. Our findings are quite clear in that nations with high levels of international nongovernmental organization presence have lower levels of carbon dioxide emissions than nations with low levels of international nongovernmental organization presence. We also find support for the ecological modernization hypothesis pertaining to the existence of an environmental Kuznet's curve between the level of economic development and level of carbon dioxide emissions.