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Food Security and Climate Change in Guyana

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  • Affuso, Ermanno

Abstract

This study uses a nonparametric simultaneous equation statistical model to assess the potential impact of climate change on the prevalence of undernourishment and dietary adequacy in Guyana. Given the limited data availability, the Generalized Maximum Entropy procedure is used as an extremely precise and robust technique to estimate a simultaneous equation statistical model that links the annual domestic production of food, climate anomalies, economic and food security indicators. While population growth, per capita income and food price are the main determinants of food security and dietary adequacy in the country, results of the analysis reveal also that a 100mm increase in annual rainfall anomaly (normal 1900-1999) could decrease the domestic production of food by 12.61% and the dietary adequacy by 0.016 percentage points.

Suggested Citation

  • Affuso, Ermanno, 2017. "Food Security and Climate Change in Guyana," Farm and Business - The Journal of the Caribbean Agro-Economic Society, Caribbean Agro-Economic Society, vol. 9(1), December.
    • Handle: RePEc:ags:fabtho:273125
    DOI: 10.22004/ag.econ.273125
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    References listed on IDEAS

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    3. Affuso, Ermanno & Hite, Diane, 2013. "A model for sustainable land use in biofuel production: An application to the state of Alabama," Energy Economics, Elsevier, vol. 37(C), pages 29-39.
    4. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
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