A stochastic dynamic programming approach to analyze adaptation to climate change -- application to groundwater irrigation in India

DOI10.1016/J.EJOR.2017.08.029zbMath1374.90439OpenAlexW2745659443MaRDI QIDQ1681161

Alban Thomas, Marion Robert, Jacques-Eric Bergez

Publication date: 23 November 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.08.029

zbMATH Keywords

(B) scenarios(D) OR in agriculture(D) OR in environment and climate change(D) strategic planning(I) stochastic programming

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Case-oriented studies in operations research (90B90) Dynamic programming (90C39)

Related Items (2)

Optimal crop allocation including market trends and water availability ⋮ A multistage distributionally robust optimization approach to water allocation under climate uncertainty

Uses Software

• CompEcon

Cites Work

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• A dynamic stochastic programming model of crop rotation choice to test the adoption of long rotation under price and production risks
• Calibration of agricultural risk programming models

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