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Structural Agricultural Land Use Modeling for Spatial Agro-Environmental Policy Analysis

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  • Carlo Fezzi
  • Ian J. Bateman

Abstract

This paper develops a spatially disaggregated, structural econometric model of agricultural land use and production based on the joint multi-output technology representation introduced by Chambers and Just (1989) . Starting from a flexible specification of the farm profit function, we derive land use allocation, input application, crop yield, and livestock intensity equations in a joint and theoretically consistent framework. To account for the presence of censored observations in micro-level data, the model is estimated as a system of two-limit Tobit equations via quasi-maximum likelihood. We present an empirical application using fine-scale spatial data covering the entirety of England and Wales and including the main economic, policy, and environmental drivers of land use change in the past forty years. A simulation of the effects of diffuse pollution reduction measures illustrates how our approach can be applied for agro-environmental policy appraisal. Copyright 2011, Oxford University Press.

Suggested Citation

  • Carlo Fezzi & Ian J. Bateman, 2011. "Structural Agricultural Land Use Modeling for Spatial Agro-Environmental Policy Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1168-1188.
  • Handle: RePEc:oup:ajagec:v:93:y:2011:i:4:p:1168-1188
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    File URL: http://hdl.handle.net/10.1093/ajae/aar037
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    Cited by:

    1. Hendricks, Nathan P. & Sinnathamby, Sumathy & Douglas-Mankin, Kyle & Smith, Aaron & Sumner, Daniel A. & Earnhart, Dietrich H., 2014. "The environmental effects of crop price increases: Nitrogen losses in the U.S. Corn Belt," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 507-526.
    2. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.
    3. McFadden, Jonathan R., 2015. "Essays on climate change adaptation and biotechnologies in U.S. agriculture," ISU General Staff Papers 201501010800005635, Iowa State University, Department of Economics.
    4. Catherine L. Kling & Raymond W. Arritt & Gray Calhoun & David A. Keiser & et al., 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. repec:eee:ecolec:v:138:y:2017:i:c:p:199-222 is not listed on IDEAS
    6. repec:bla:jageco:v:68:y:2017:i:3:p:839-860 is not listed on IDEAS
    7. McFadden, Jonathan & Miranowski, John, "undated". "Climate Change Impacts on the Intensive and Extensive Margins of US Agricultural Land," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170512, Agricultural and Applied Economics Association.
    8. Koutchade, Obafèmi Philippe & Carpentier, Alain & Femenia, Fabienne, 2015. "Corner solutions in empirical acreage choice models: an andogeneous switching regime approach with regime fixed cost," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206060, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    9. Carlo Fezzi & Ian Bateman & Tom Askew & Paul Munday & Unai Pascual & Antara Sen & Amii Harwood, 2014. "Valuing Provisioning Ecosystem Services in Agriculture: The Impact of Climate Change on Food Production in the United Kingdom," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(2), pages 197-214, February.
    10. Alain Carpentier & Elodie Letort, 2014. "Multicrop Production Models with Multinomial Logit Acreage Shares," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 537-559, December.
    11. Ian Bateman & Amii Harwood & David Abson & Barnaby Andrews & Andrew Crowe & Steve Dugdale & Carlo Fezzi & Jo Foden & David Hadley & Roy Haines-Young & Mark Hulme & Andreas Kontoleon & Paul Munday & Un, 2014. "Economic Analysis for the UK National Ecosystem Assessment: Synthesis and Scenario Valuation of Changes in Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(2), pages 273-297, February.
    12. Marita Laukkanen & Céline Nauges, 2014. "Evaluating Greening Farm Policies: A Structural Model for Assessing Agri-environmental Subsidies," Land Economics, University of Wisconsin Press, vol. 90(3), pages 458-481.
    13. Mukasa Adamon N., 2016. "Working Paper 233 - Technology Adoption and Risk Exposure among Smallholder Farmers: Panel Data Evidence from Tanzania and Uganda," Working Paper Series 2328, African Development Bank.
    14. Song, Jingyu & Delgado, Michael & Preckel, Paul & Villoria, Nelson, 2016. "Pixel Level Cropland Allocation and Marginal Impacts of Biophysical Factors," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235327, Agricultural and Applied Economics Association.
    15. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    16. Santeramo, Fabio Gaetano & Cioffi, Antonio, 2012. "The entry price threshold in EU agriculture: Deterrent or barrier?," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 691-704.

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