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Measuring Weather Impact on Crop Yield Using Aridity Index: Evidence from Odisha

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  • Paltasingh, Kirtti Ranjan
  • Goyari, Phanindra
  • Mishra, R.K.

Abstract

Rainfall and temperature are the two important weather factors that affect crop yields due to their direct and indirect influences on agricultural practices. This study has negated the method of direct use of meteorological factors (either monthly or seasonal), in multiple regression analysis to measure weather impact on crop yield where rainfall and temperature are incorporated in the model as increasing monotonic functions of yield. With evidences from Odisha, where agriculture is rainfed and weather-dependent, the study has advocated the incorporation of ‘aridity index’ variable in the regression model. The use of composite aridity index variable in econometric model has made the analysis more easy and logical. More importantly, the use of aridity index saves the ‘degrees of freedom’ which is very crucial in econometric analysis. In addition, the ambiguity of using the linear trend to proxy for technological progress is taken care of adequately by using cubic function of time. The testing of hypothesis of changing rainfall dependency has established the fact that the dependence of agriculture on rainfall in Odisha has declined slightly possibly because of the developments in irrigation and other facilities.

Suggested Citation

  • Paltasingh, Kirtti Ranjan & Goyari, Phanindra & Mishra, R.K., 2012. "Measuring Weather Impact on Crop Yield Using Aridity Index: Evidence from Odisha," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 25(2).
    • Handle: RePEc:ags:aerrae:137373
    DOI: 10.22004/ag.econ.137373
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    1. Gonzalo Rondinone & Esteban Otto Thomasz & Ana Silvia Vilker, 2019. "The economic cost of extreme and severe droughts in soybean production in Argentina," Contaduría y Administración, Accounting and Management, vol. 64(1), pages 31-32, Enero-Mar.
    2. Paltasingh, Kirtti Ranjan & Goyari, Phanindra, 2013. "Analyzing Growth and Instability in Subsistence Agriculture of Odisha: Evidence from Major Crops," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 26(Conferenc).
    3. Sun Ling Wang & Eldon Ball & Richard Nehring & Ryan Williams & Truong Chau, 2018. "Impacts of Climate Change and Extreme Weather on US Agricultural Productivity: Evidence and Projection," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 41-75, National Bureau of Economic Research, Inc.
    4. G. Sridevi & A. Jyotishi & S. Mahapatra & G. Jagadeesh & S. Bedamatta, 2014. "Climate Change Vulnerability in Agriculture Sector: Indexing and Mapping of Four Southern Indian States," Working Papers wp966, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Jee W. Hwang & Okmyung Bin, 2019. "Effects Of Changes In Climatic Conditions On New Mexico Pecan Production, Price, And Cash Receipts," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-11, May.
    6. Wang, Sun Ling & Rada, Nicholas E. & Williams, Ryan C., 2021. "Potential Climatic Effects on the U.S. Crop Farm Productivity," 2021 Annual Meeting, August 1-3, Austin, Texas 314088, Agricultural and Applied Economics Association.
    7. Yi, Fujin & Jiang, Fei & Zhong, Funing & Ding, Aijun & Zhou, Xun, 2015. "Impacts of Surface Ozone Pollution on Crop Productivity: Evidence from Winter Wheat in China," 2015 Conference, August 9-14, 2015, Milan, Italy 211866, International Association of Agricultural Economists.
    8. Viktoriya Galushko & Samuel Gamtessa, 2022. "Impact of Climate Change on Productivity and Technical Efficiency in Canadian Crop Production," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    9. Wang, Sun Ling & Ball, Eldon & Nehring, Richard & Williams, Ryan & Chau, Truong, 2014. "Impacts of Climate Change and Extreme Weather on U.S. Agricultural Productivity Growth," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 177170, Agricultural and Applied Economics Association.
    10. Wang, Sun Ling & Olver, Ryan & Bonin, Daniel & Dodson, Laura L. & Williams, Ryan C., 2022. "Climate change, technology adoption, and field crop farm productivity in the United States: Short-term vs. long-term," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322595, Agricultural and Applied Economics Association.
    11. Akber, Nusrat & Paltasingh, Kirtti Ranjan, 2020. "Public financing of Indian agriculture and its returns: some panel evidence," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 33(Conferenc), December.
    12. Sun Ling Wang & Nicholas Rada & Ryan Williams & Doris Newton, 2022. "Accounting for climatic effects in measuring U.S. field crop farm productivity," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1975-1994, December.
    13. Ranjan Paltasingh, Kirtti & Goyari, Phanindra, 2013. "Supply Response in Rainfed Agriculture of Odisha, Eastern India: A Vector Error Correction Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 14(2), pages 1-16.
    14. Patryk Hara & Magdalena Piekutowska & Gniewko Niedbała, 2021. "Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data," Land, MDPI, vol. 10(6), pages 1-21, June.

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