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Revealed preference land use models in Andalusia: integrating commercial and environmental variables

Author

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  • José L. Oviedo
  • Alejandro Caparrós

Abstract

We investigate transitions among crop, grass and forest land uses in Andalusia (Spain) through an econometric model that uses individual land use decisions observed in the Corine Land Cover database as dependent variable, and net income, subsidies and biophysical and environmental factors as explanatory variables. Using multinomial logit models (fixed and random parameters), we identify both monetary and environmental and biophysical variables as significant in explaining land use decisions, but model performance significantly improves with the latter variables. We also identify the role of inertia but its effect is low as compared to the other variables. Based on the estimated model, we simulate the hypothetical variation of some explanatory variables in four scenarios up to 2022 and 2038. We find no large changes in land uses in most of the scenarios except for the one with an important reduction of subsidies and a decrease in protected areas. Climate change variables have a moderate impact as the ranges analyzed are narrow. The regional application shows the feasibility of a European wide application.

Suggested Citation

  • José L. Oviedo & Alejandro Caparrós, 2013. "Revealed preference land use models in Andalusia: integrating commercial and environmental variables," Working Papers 1303, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
  • Handle: RePEc:ipp:wpaper:1303
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    File URL: http://investigacion.cchs.csic.es/RePEc/ipp/wpaper/csic-ipp-wp-2013-03_oviedo.pdf
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    References listed on IDEAS

    as
    1. Ovando, Paola & Caparrós, Alejandro, 2009. "Land use and carbon mitigation in Europe: A survey of the potentials of different alternatives," Energy Policy, Elsevier, vol. 37(3), pages 992-1003, March.
    2. Ruben N. Lubowski & Andrew J. Plantinga & Robert N. Stavins, 2008. "What Drives Land-Use Change in the United States? A National Analysis of Landowner Decisions," Land Economics, University of Wisconsin Press, vol. 84(4), pages 529-550.
    3. Lubowski, Ruben N. & Plantinga, Andrew J. & Stavins, Robert N., 2006. "Land-use change and carbon sinks: Econometric estimation of the carbon sequestration supply function," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 135-152, March.
    4. Lubowski, Ruben N. & Plantinga, Andrew J. & Stavins, Robert N., 2008. "What Drives Land-Use Change in the United States? A National Analysis of Landowner Decisions," Natural Resources Management Working Papers 44534, Fondazione Eni Enrico Mattei (FEEM).
    5. Gary L. Hunt, 2000. "Alternative Nested Logit Model Structures and the Special Case of Partial Degeneracy," Journal of Regional Science, Wiley Blackwell, vol. 40(1), pages 89-113.
    6. Ovando, Paola & Campos, Pablo & Calama, Rafael & Montero, Gregorio, 2010. "Landowner net benefit from Stone pine (Pinus pinea L.) afforestation of dry-land cereal fields in Valladolid, Spain," Journal of Forest Economics, Elsevier, vol. 16(2), pages 83-100, April.
    7. Robert N. Stavins, 1999. "The Costs of Carbon Sequestration: A Revealed-Preference Approach," American Economic Review, American Economic Association, vol. 89(4), pages 994-1009, September.
    8. Adina M. Merenlender, 2006. "Habitat and Open Space at Risk of Land-Use Conversion: Targeting Strategies for Land Conservation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 28-42.
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    More about this item

    Keywords

    land use transitions; land use drivers; discrete choice models;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land

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