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Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture

Author

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  • Yoro Diallo

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Sébastien Marchand

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Etienne Espagne

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique, CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

Abstract

The aim of this study is to examine farm household-level impacts of weather extreme events on Vietnamese rice technical efficiency. Vietnam is considered among the most vulnerable countries to climate change, and the Vietnamese economy is highly dependent on rice production that is strongly affected by climate change. A stochastic frontier analysis is applied with census panel data and weather data from 2010 to 2014 to estimate these impacts while controlling for both adaptation strategy and household characteristics. Also, this study combines these estimated marginal effects with future climate scenarios (Representative Concentration Pathways 4.5 and 8.5) to project the potential impact of hot temperatures in 2050 on rice technical efficiency. We find that weather shocks measured by the occurrence of floods, typhoons and droughts negatively affect technical efficiency. Also, additional days with a temperature above 31°C dampen technical efficiency and the negative effect is increasing with temperature. For instance, a one day increase in the bin [33°C-34°C] ([35°C and more[) lessen technical efficiency between 6.84 (2.82) and 8.05 (3.42) percentage points during the dry (wet) season.
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Suggested Citation

  • Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Post-Print hal-02315278, HAL.
    • Handle: RePEc:hal:journl:hal-02315278
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    as
    1. Michael R. Carter & Keith D. Wiebe, 1990. "Access to Capital and Its Impact on Agrarian Structure and Productivity in Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(5), pages 1146-1150.
    2. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    3. Emanuele Massetti & Robert Mendelsohn, 2011. "Estimating Ricardian Models With Panel Data," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 301-319.
    4. Wolfram Schlenker & Michael J. Roberts & David B. Lobell, 2013. "US maize adaptability," Nature Climate Change, Nature, vol. 3(8), pages 690-691, August.
    5. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    6. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    7. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
    8. Dasgupta, Susmita & Laplante, Benoit & Meisner, Craig & Wheeler, David & Jianping Yan, 2007. "The impact of sea level rise on developing countries : a comparative analysis," Policy Research Working Paper Series 4136, The World Bank.
    9. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    10. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2016. "Impacts of climate change on agriculture: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 105-124.
    11. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    12. Schlenker, Wolfram & Hanemann, W. Michael & Fisher, Anthony C., 2004. "Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt65s781bh, Department of Agricultural & Resource Economics, UC Berkeley.
    13. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    14. Nigel Key & Stacy Sneeringer, 2014. "Potential Effects of Climate Change on the Productivity of U.S. Dairies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(4), pages 1136-1156.
    15. Maximilian Auffhammer & Solomon M. Hsiang & Wolfram Schlenker & Adam Sobel, 2013. "Using Weather Data and Climate Model Output in Economic Analyses of Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 7(2), pages 181-198, July.
    16. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2009. "Temperature and Income: Reconciling New Cross-Sectional and Panel Estimates," American Economic Review, American Economic Association, vol. 99(2), pages 198-204, May.
    17. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    18. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2005. "Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach," American Economic Review, American Economic Association, vol. 95(1), pages 395-406, March.
    19. Yu, Bingxin & Zhu, Tingju & Breisinger, Clemens & Hai, Nguyen Manh, 2010. "Impacts of climate change on agriculture and policy options for adaptation: The case of Vietnam," IFPRI discussion papers 1015, International Food Policy Research Institute (IFPRI).
    20. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    21. Pradeep Kurukulasuriya & Namrata Kala & Robert Mendelsohn, 2011. "Adaptation And Climate Change Impacts: A Structural Ricardian Model Of Irrigation And Farm Income In Africa," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 149-174.
    22. Arouri, Mohamed & Nguyen, Cuong & Youssef, Adel Ben, 2015. "Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam," World Development, Elsevier, vol. 70(C), pages 59-77.
    23. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    24. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    25. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    26. Tatyana Deryugina & Solomon Hsiang, 2017. "The Marginal Product of Climate," NBER Working Papers 24072, National Bureau of Economic Research, Inc.
    27. Robert O. Mendelsohn & Emanuele Massetti, 2017. "The Use of Cross-Sectional Analysis to Measure Climate Impacts on Agriculture: Theory and Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 280-298.
    28. Massetti, Emanuele & Mendelsohn, Robert & Chonabayashi, Shun, 2016. "How well do degree days over the growing season capture the effect of climate on farmland values?," Energy Economics, Elsevier, vol. 60(C), pages 144-150.
    29. Ethan E. Butler & Peter Huybers, 2013. "Adaptation of US maize to temperature variations," Nature Climate Change, Nature, vol. 3(1), pages 68-72, January.
    30. Elodie Blanc & Wolfram Schlenker, 2017. "The Use of Panel Models in Assessments of Climate Impacts on Agriculture," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 258-279.
    31. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    32. Matty Demont & Pieter Rutsaert, 2017. "Restructuring the Vietnamese Rice Sector: Towards Increasing Sustainability," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    33. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    34. World Bank, 2010. "Economics of Adaptation to Climate Change : Vietnam," World Bank Publications - Reports 12747, The World Bank Group.
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