IDEAS home Printed from https://ideas.repec.org/p/hal/ciredw/halshs-02080285.html
   My bibliography  Save this paper

Impacts of extreme events on technical efficiency in Vietnamese agriculture

Author

Listed:
  • 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

    (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, AFD - Agence française de développement, 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)

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.

Suggested Citation

  • Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CIRED Working Papers halshs-02080285, HAL.
    • Handle: RePEc:hal:ciredw:halshs-02080285
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02080285
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-02080285/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Tom Kompas & Tuong Nhu Che & Hoa Thi Minh Nguyen & Ha Quang Nguyen, 2012. "Productivity, Net Returns, and Efficiency: Land and Market Reform in Vietnamese Rice Production," Land Economics, University of Wisconsin Press, vol. 88(3), pages 478-495.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. Ethan E. Butler & Peter Huybers, 2013. "Adaptation of US maize to temperature variations," Nature Climate Change, Nature, vol. 3(1), pages 68-72, January.
    10. 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.
    11. Ethan E. Butler & Peter Huybers, 2013. "Reply to 'US maize adaptability'," Nature Climate Change, Nature, vol. 3(8), pages 691-692, August.
    12. 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.
    13. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    21. 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.
    22. 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.
    23. Wolfram Schlenker & Michael J. Roberts & David B. Lobell, 2013. "US maize adaptability," Nature Climate Change, Nature, vol. 3(8), pages 690-691, August.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. Matty Demont & Pieter Rutsaert, 2017. "Restructuring the Vietnamese Rice Sector: Towards Increasing Sustainability," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    32. 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.
    33. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    34. Tatyana Deryugina & Solomon Hsiang, 2017. "The Marginal Product of Climate," NBER Working Papers 24072, National Bureau of Economic Research, Inc.
    35. 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.
    36. World Bank, 2010. "Economics of Adaptation to Climate Change : Vietnam," World Bank Publications - Reports 12747, The World Bank Group.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Artiom Volkov & Mangirdas Morkunas & Tomas Balezentis & Vaida Šapolaitė, 2020. "Economic and Environmental Performance of the Agricultural Sectors of the Selected EU Countries," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    2. Ferrer, Alice Joan G. & Thanh, Le Ha & Kiet, Nguyen Tuan & Chuong, Pham Hong & Trang, Vu Thu & Hopanda, Jinky C. & Carmelita, Benedict Mark & Gummadi, Sridhar & Bernardo, Eisen Bernard, 2022. "The impact of an adjusted cropping calendar on the welfare of rice farming households in the Mekong River Delta, Vietnam," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 639-652.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
    2. Bareille, François & Chakir, Raja, 2023. "The impact of climate change on agriculture: A repeat-Ricardian analysis," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    3. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    4. 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.
    5. Abdul Quddoos & Klaus Salhofer & Ulrich B. Morawetz, 2023. "Utilising farm‐level panel data to estimate climate change impacts and adaptation potentials," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 75-99, February.
    6. Emanuele Massetti & Steven Van Passel & Camila Apablaza, 2018. "Is Western European Agriculture Resilient to High Temperatures?," CESifo Working Paper Series 7286, CESifo.
    7. Meyer, Kevin Michael, 2017. "Three essays on environmental and resource economics," ISU General Staff Papers 201701010800006585, Iowa State University, Department of Economics.
    8. Cui, Xiaomeng, 2020. "Climate change and adaptation in agriculture: Evidence from US cropping patterns," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    9. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    10. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    11. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    12. Pierre Mérel & Matthew Gammans, 2021. "Climate Econometrics: Can the Panel Approach Account for Long‐Run Adaptation?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1207-1238, August.
    13. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    14. Richard S.J. Tol, 2020. "The Economic Impact of Weather and Climate," Video Library 2094, Department of Economics, University of Sussex Business School.
    15. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    16. Michael D. Rosko, 2001. "Cost efficiency of US hospitals: a stochastic frontier approach," Health Economics, John Wiley & Sons, Ltd., vol. 10(6), pages 539-551, September.
    17. Dong, Xiao-yuan & Putterman, Louis, 1997. "Productivity and Organization in China's Rural Industries: A Stochastic Frontier Analysis," Journal of Comparative Economics, Elsevier, vol. 24(2), pages 181-201, April.
    18. Emanuele Massetti & Robert Mendelsohn, 2020. "Temperature thresholds and the effect of warming on American farmland value," Climatic Change, Springer, vol. 161(4), pages 601-615, August.
    19. Charlotte Fabri & Michele Moretti & Steven Van Passel, 2022. "On the (ir)relevance of heatwaves in climate change impacts on European agriculture," Climatic Change, Springer, vol. 174(1), pages 1-20, September.
    20. Kevin Cullinane & Dong-Wook Song, 2003. "A stochastic frontier model of the productive efficiency of Korean container terminals," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 251-267.

    More about this item

    Keywords

    Weather shocks; Technical efficiency; Rice farming; Vietnam;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:ciredw:halshs-02080285. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.