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Geography, Climate, and Genes in Development Studies

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  • Robert Klitgaard
  • Johannes W Fedderke
  • Valerio Napolioni

Abstract

Over the coming decade, much more genetic data will enter into the study of economic development. This paper provides an example and emphasizes the uses and misuses of such information. It has assembled for the first time national frequencies of the ACP1 genetic polymorphism and the Interleukin-6 (IL6-174G) and Interleukin-10 (IL10-1082G) cytokines. These three respond over the centuries to ultraviolet radiation and infectious diseases. The study also looks at a national measure of heterozygotic diversity. In particular, it finds that ACP1 frequencies are significantly related to national outcomes ranging from GDP per capita to type and quality of governance, to measures of national “competitiveness,” to health, to fertility, to measures of satisfaction with life. These associations do not seem explainable by reverse causation nor by the influence of some of the usual variables in studies of long-run development. Nonetheless, these results do not mean that a few genes have a direct causal effect on world development. The ACP1*B variable is surely picking up the influences of many genetic and cultural adaptations over evolutionary time in response to ultraviolet exposure and pathogen burdens. This study's findings thus support other research indicating the importance of disease environments in shaping both genetic and sociocultural adaptations that have influence on development outcomes today. The paper concludes with a discussion of what such strong associations mean and do not mean, in hopes of guiding future studies of genes and other deep roots of economic development.

Suggested Citation

  • Robert Klitgaard & Johannes W Fedderke & Valerio Napolioni, 2020. "Geography, Climate, and Genes in Development Studies," The World Bank Economic Review, World Bank, vol. 34(Supplemen), pages 46-51.
  • Handle: RePEc:oup:wbecrv:v:34:y:2020:i:supplement_1:p:s46-s51.
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    File URL: http://hdl.handle.net/10.1093/wber/lhz034
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    1. Enrico Spolaore & Romain Wacziarg, 2013. "How Deep Are the Roots of Economic Development?," Journal of Economic Literature, American Economic Association, vol. 51(2), pages 325-369, June.
    2. Timothy J. Hatton, 2014. "How have Europeans grown so tall?," Oxford Economic Papers, Oxford University Press, vol. 66(2), pages 349-372.
    3. Transparency International TI, 2012. "Corruption Perceptions Index 2012," Working Papers id:5186, eSocialSciences.
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    1. Jingwen Huo & Peipei Chen & Klaus Hubacek & Heran Zheng & Jing Meng & Dabo Guan, 2022. "Full‐scale, near real‐time multi‐regional input–output table for the global emerging economies (EMERGING)," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1218-1232, August.
    2. Junaid Ashraf, 2022. "Do political risk and globalization undermine environmental quality? Empirical evidence from Belt and Road Initiative (BRI) countries," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3647-3664, December.

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