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A stochastic dynamic programming approach to analyze adaptation to climate change – Application to groundwater irrigation in India

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  • Robert, Marion
  • Bergez, Jacques-Eric
  • Thomas, Alban

Abstract

Agricultural sustainability under climate change is a major challenge in semi-arid countries, mainly because of over-exploited water resources. This article explores short- and long-term consequences of farmers’ adaptation decisions on groundwater resource use, under several climate change scenarios. We model farmer decisions on crop choice, investment in irrigation and water application rates, using a stochastic dynamic programming model with embedded year and season decision stages. Several sources of risk are considered that may impact farmer decisions, with poor rainfall affecting crop yield and market prices, while driving crop and borewell failure probabilities. We further investigate the performance of water management policies for groundwater resource conservation. This is achieved through policy simulations from a calibrated version of the stochastic dynamic model, using data from a field survey in the Berambadi watershed, Karnataka state, southern India. The most relevant and novel aspect of our model is the joint consideration of (i) investment decisions about irrigation over a long-term horizon and with the probability of borewell failure, (ii) several water management policies, and (iii) detailed farmers’ water practices and the representation of crop choice for each agricultural season with crop failure.

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  • Robert, Marion & Bergez, Jacques-Eric & Thomas, Alban, 2018. "A stochastic dynamic programming approach to analyze adaptation to climate change – Application to groundwater irrigation in India," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1033-1045.
    • Handle: RePEc:eee:ejores:v:265:y:2018:i:3:p:1033-1045
    DOI: 10.1016/j.ejor.2017.08.029
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    1. Michael Livingston & Michael J. Roberts & Yue Zhang, 2015. "Optimal Sequential Plantings of Corn and Soybeans Under Price Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 855-878.
    2. Jeff Connor & Kurt Schwabe & Darran King & David Kaczan & Mac Kirby, 2009. "Impacts of climate change on lower Murray irrigation ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 437-456, July.
    3. Iglesias, Ana & Garrote, Luis, 2015. "Adaptation strategies for agricultural water management under climate change in Europe," Agricultural Water Management, Elsevier, vol. 155(C), pages 113-124.
    4. Petsakos, Athanasios & Rozakis, Stelios, 2015. "Calibration of agricultural risk programming models," European Journal of Operational Research, Elsevier, vol. 242(2), pages 536-545.
    5. Marcus Taylor, 2013. "Liquid Debts: credit, groundwater and the social ecology of agrarian distress in Andhra Pradesh, India," Third World Quarterly, Taylor & Francis Journals, vol. 34(4), pages 691-709.
    6. Kelly J. Bryant & James W. Mjelde & Ronald D. Lacewell, 1993. "An Intraseasonal Dynamic Optimization Model to Allocate Irrigation Water between Crops," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 1021-1029.
    7. Jean-Paul Chavas, 2012. "On learning and the economics of firm efficiency: a state-contingent approach," Journal of Productivity Analysis, Springer, vol. 38(1), pages 53-62, August.
    8. Ridier, Aude & Chaib, Karim & Roussy, Caroline, 2016. "A Dynamic Stochastic Programming model of crop rotation choice to test the adoption of long rotation under price and production risks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 270-279.
    9. Francisco J. Fernández & Roberto D. Ponce & Maria Blanco & Diego Rivera & Felipe Vásquez, 2016. "Water Variability and the Economic Impacts on Small-Scale Farmers. A Farm Risk-Based Integrated Modelling Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1357-1373, March.
    10. Segerson, Kathleen, 1988. "Uncertainty and incentives for nonpoint pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 15(1), pages 87-98, March.
    11. Mario J. Miranda & Paul L. Fackler, 2004. "Applied Computational Economics and Finance," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262633094, December.
    12. Oscar R. Burt, 1993. "Decision Rules for the Dynamic Animal Feeding Problem," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 190-202.
    13. Sheetal Sekhri, 2014. "Wells, Water, and Welfare: The Impact of Access to Groundwater on Rural Poverty and Conflict," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 76-102, July.
    14. Bocquého, Géraldine & Jacquet, Florence & Reynaud, Arnaud, 2013. "Reversal and magnitude effects in long-term time preferences: Results from a field experiment," Economics Letters, Elsevier, vol. 120(1), pages 108-111.
    15. Arno Maatman & Caspar Schweigman & Arjan Ruijs & Maarten H. van Der Vlerk, 2002. "Modeling Farmers' Response to Uncertain Rainfall in Burkina Faso: A Stochastic Programming Approach," Operations Research, INFORMS, vol. 50(3), pages 399-414, June.
    16. Robert, Marion & Thomas, Alban & Bergez, Jacques Eric, 2016. "Processes of adpatation in farm decision-making models. A review," TSE Working Papers 16-731, Toulouse School of Economics (TSE).
    17. John P. Ritten & W. Marshall Frasier & Christopher T. Bastian & Stephen T. Gray, 2010. "Optimal Rangeland Stocking Decisions Under Stochastic and Climate-Impacted Weather," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1242-1255.
    18. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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