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The Role and Use of Mathematical Programming in Agricultural, Natural Resource, and Climate Change Analysis

Author

Listed:
  • Chengcheng J. Fei

    (Department of Agricultural Economics, Texas A&M University, College Station, Texas, USA)

  • Bruce A. McCarl

    (Department of Agricultural Economics, Texas A&M University, College Station, Texas, USA)

Abstract

Climate change undeniably impacts agriculture and natural resources, enterprises and markets. For informed decision making, there is a need for information on climate change adaptation possibilities and mitigation alternatives. Mathematical programming has been used to address the economic aspects of such questions and allows analysis as climate change moves the environment into previously unobserved conditions. It allows us to model spatial and dynamic features of the issue and analyze heretofore unobserved adaptation and mitigation possibilities. This review provides an overview of and references for modeling techniques, conceptual issues, and major assumptions involved with using mathematical programming as a climate change economic analyzing engine, along with a brief comparison with other methods. We also review a number of studies applying mathematical programming to examine climate change impacts, adaptation, and mitigation issues in the agricultural and natural resources arena. Finally, we present a very brief discussion on research needs.

Suggested Citation

  • Chengcheng J. Fei & Bruce A. McCarl, 2023. "The Role and Use of Mathematical Programming in Agricultural, Natural Resource, and Climate Change Analysis," Annual Review of Resource Economics, Annual Reviews, vol. 15(1), pages 383-406, October.
    • Handle: RePEc:anr:reseco:v:15:y:2023:p:383-406
    DOI: 10.1146/annurev-resource-101422-041745
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    More about this item

    Keywords

    mathematical programming; climate change effects; adaptation; mitigation;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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