Fragile states have several key characteristics: (1) uncertain control of territory and/or not having full control of legitimate use of force; (2) decline in legitimacy of collective and authoritative government decisions; (3) difficulties with providing public goods and services; (4) problems with interacting with other states as a member of the larger international community. Data on The Fund for Peace’s Fragile State Index from 2016 are used to measure the dependent variable. The independent variables of interest are health and nutrition, to determine if these factors-as influences on citizens’ behavior-would have anything to do with fragility. This paper, then, explores the role of two biosocial variables in affecting degree of fragility. Results are discussed as well as implications.
There is a relatively small but important research oeuvre in the biological study of comparative and international politics. This essay is situated within that literature. One significant issue in comparative politics is corruption-its causes, its consequences, and remediation. This study focuses on the first point with a focus on a biosocial variable that might be at work. Prior research has suggested that health status of a nation affects extent of democratization, electoral integrity, and fragility of states. In no case is health status the dominant predictor. Given its relationship with those three aspects of a polity, this paper examines the effect of health status on corruption across states. Given prior results, there is good reason to hypothesize that as health status increases, states are less apt to have high rates of corruption. The base for this analysis comprises data on over 150 nations. Among the variables as part of that data set are health status and corruption. Results are reported and discussion centers on the meaning of the data and what the implications might be.
Many factors have been adduced to explain why some states become democracies and others not. Accepted variables predicting democracy include education level, economic development, urbanization, communication networks and so on. This paper will explore two biological variables’ role-nutrition level and health status. Comparative data are used to explore the effects of these variables on level of democracy. Implications are discussed.
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