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Sensitivity of Crop Yield to Extreme Weather in Nigeria

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  • Ajetomobi, Joshua Olusegun

Abstract

This study analyzed how extreme weather conditions affect the mean and variability of the yields of 11 staple crops in Nigeria. The research involved the use of a pooled panel data of 36 states and the federal capital territory over the period of 1991-2012. The framework for analysis consisted of the production risk model developed by Just and Pope for yield estimation. Unit root tests and Maximum Likelihood Estimation techniques were used to obtain reliable estimates of the model’s parameters. The results showed that the mean and variance of the yield of all the staple crops were diversely influenced by extreme weather events.

Suggested Citation

  • Ajetomobi, Joshua Olusegun, 2016. "Sensitivity of Crop Yield to Extreme Weather in Nigeria," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246919, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae16:246919
    DOI: 10.22004/ag.econ.246919
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    References listed on IDEAS

    as
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    3. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    4. Robert Mendelsohn & Ariel Dinar, 2009. "Climate Change and Agriculture," Books, Edward Elgar Publishing, number 12990.
    5. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
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    7. Jinxia Wang & Robert Mendelsohn & Ariel Dinar & Jikun Huang & Scott Rozelle & Lijuan Zhang, 2009. "The impact of climate change on China's agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 323-337, May.
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    Keywords

    Environmental Economics and Policy; Production Economics; Productivity Analysis;
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