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Integrating Economic Land-Use and Biophysical Models

Author

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  • Andrew J. Plantinga

    (Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106-5131)

Abstract

Land-use change is a leading cause of environmental degradation in terrestrial systems and has important implications for natural resource use. Economists have a long tradition of studying land use and in recent decades have developed empirical land-use models using econometric and optimization approaches. Integration of these land-use and biophysical models allows for a more comprehensive analysis of the consequences of future land-use change and the use of land-use policies to avoid undesirable outcomes. I provide a conceptual framework for the modeling approach, describing the individual components of an analysis as well as how they are linked together. My review describes how the literature has evolved to take advantage of spatial data and greater computing capabilities. Although most researchers have used either an econometric or an optimization approach, there is potential to combine these methods to identify more efficient land-use policies that still meet criteria of tractability and political acceptance.

Suggested Citation

  • Andrew J. Plantinga, 2015. "Integrating Economic Land-Use and Biophysical Models," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 233-249, October.
  • Handle: RePEc:anr:reseco:v:7:y:2015:p:233-249
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    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev-resource-100814-125056
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    Citations

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    Cited by:

    1. Dylan E. McNamara & Martin D. Smith & Zachary Williams & Sathya Gopalakrishnan & Craig E. Landry, 2024. "Policy and market forces delay real estate price declines on the US coast," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Moriah Bostian & Tommy Lundgren, 2022. "Valuing Ecosystem Services for Agricultural TFP: A Review of Best Practices, Challenges, and Recommendations," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    3. Souto, Augusto & Carriquiry, Miguel A. & Rosas, Juan Francisco, 2021. "Assessing the Impact of Agricultural Intensification on Water Pollution: An Integrated Model Assessment of the San Salvador Basin in Uruguay," 2021 Annual Meeting, August 1-3, Austin, Texas 314037, Agricultural and Applied Economics Association.
    4. Catherine L. Kling & Raymond W. Arritt & Gray Calhoun & David A. Keiser, 2016. "Research Needs and Challenges in the FEW System: Coupling Economic Models with Agronomic, Hydrologic, and Bioenergy Models for Sustainable Food, Energy, and Water Systems," Center for Agricultural and Rural Development (CARD) Publications 16-wp563, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    5. Hendricks, Nathan P. & Er, Emrah, 2018. "Changes in cropland area in the United States and the role of CRP," Food Policy, Elsevier, vol. 75(C), pages 15-23.
    6. repec:ags:aaea22:335895 is not listed on IDEAS
    7. Jiang, Yong & Swallow, Stephen K., 2017. "Impact Fees Coupled With Conservation Payments to Sustain Ecosystem Structure: A Conceptual and Numerical Application at the Urban-Rural Fringe," Ecological Economics, Elsevier, vol. 136(C), pages 136-147.

    More about this item

    Keywords

    econometric models; optimization models; land-use change; land-use policy;
    All these keywords.

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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