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Agricultural land rents in land use models: a spatial econometric analysis

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  • Chakir, Raja
  • Lungarska, Anna

Abstract

The objective of this paper is to compare land use models based on three different proxies for agricultural land rent: farmers’ revenues; land price and shadow price of land derived from a mathematical programming model. We estimate a land use shares model of France at the scale of a homogeneous grid (8 km x 8 km). We consider five land use classes: (1) agriculture, (2) pasture, (3) forest, (4) urban and (5) other uses. We investigate the determinants of the shares of land in alternative uses using economic, physical and demographic explanatory variables. Data on land use is derived from the remote sensing database Corine Land Cover. We model spatial autocorrelation between grid cells and compare the prediction accuracy as well as the estimated elasticities between different model specifications. Our results show that the three rent proxies give similar results in terms of prediction quality of different models. Our results also show that including spatial autocorrelation in land use models improve the quality of prediction (RMSE indicators). One of our econometric land use models is used to simulate the effects of a nitrogen tax as well as to project land use changes in France under two IPCC climate scenarios.

Suggested Citation

  • Chakir, Raja & Lungarska, Anna, 2015. "Agricultural land rents in land use models: a spatial econometric analysis," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212641, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa150:212641
    DOI: 10.22004/ag.econ.212641
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    File URL: https://ageconsearch.umn.edu/record/212641/files/Agricultural%20land%20rents%20in%20land%20use%20models%20a%20spatial%20econometric%20analysis.pdf
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    as
    1. Caurla, Sylvain & Delacote, Philippe & Lecocq, Franck & Barthès, Julien & Barkaoui, Ahmed, 2013. "Combining an inter-sectoral carbon tax with sectoral mitigation policies: Impacts on the French forest sector," Journal of Forest Economics, Elsevier, vol. 19(4), pages 450-461.
    2. Douglas J. Miller & Andrew J. Plantinga, 1999. "Modeling Land Use Decisions with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 180-194.
    3. Petsakos, Athanasios & Jayet, Pierre-Alain, 2010. "Evaluating the efficiency of a N-input tax under different policy scenarios at different scales," 120th Seminar, September 2-4, 2010, Chania, Crete 109397, European Association of Agricultural Economists.
    4. Man Li & JunJie Wu & Xiangzheng Deng, 2013. "Identifying Drivers of Land Use Change in China: A Spatial Multinomial Logit Model Analysis," Land Economics, University of Wisconsin Press, vol. 89(4), pages 632-654.
    5. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    6. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    7. Antonello Lobianco & Philippe Delacote & Sylvain Caurla & Ahmed Barkaoui, 2014. "Introducing forest management in forest sector models: impact of active management and risk attitude on forest resources in the long term," Working Papers - Cahiers du LEF 2014-05, Laboratoire d'Economie Forestiere, AgroParisTech-INRA, revised Apr 2014.
    8. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    9. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    10. Plantinga, Andrew J. & Ahn, Soeun, 2002. "Efficient Policies For Environmental Protection: An Econometric Analysis Of Incentives For Land Conversion And Retention," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-18, July.
    11. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    12. Arslan, AslIhan, 2011. "Shadow vs. market prices in explaining land allocation: Subsistence maize cultivation in rural Mexico," Food Policy, Elsevier, vol. 36(5), pages 605-613, October.
    13. Jean-Sauveur Ay & Raja Chakir & Luc Doyen & Frédéric Jiguet & Paul Leadley, 2014. "Integrated models, scenarios and dynamics of climate, land use and common birds," Climatic Change, Springer, vol. 126(1), pages 13-30, September.
    14. Douglas J. Miller, 1999. "An Econometric Analysis of the Costs of Sequestering Carbon in Forests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 812-824.
    15. Cyril Bourgeois & Nosra Ben-Fradj & Mélissa Clodic & Pierre-Alain Jayet, 2011. "How cost-effective is a mixed policy targeting the management of three pollutants from N-fertilizers," Working Papers 2011/03, INRA, Economie Publique.
    16. Andrew J. Plantinga, 1996. "The Effect of Agricultural Policies on Land Use and Environmental Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 1082-1091.
    17. Caurla, Sylvain & Delacote, Philippe, 2013. "FFSM : un modèle de la filière forêts-bois française qui prend en compte les enjeux forestiers dans la lutte contre le changement climatique," INRAE Sciences Sociales, Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2), vol. 2012, pages 1-5, May.
    18. Dupraz, Pierre & Temesgen, Chalachew, 2012. "Farmland Rental Rate and Marginal Return to Land: A French FADN Perspective," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134954, Agricultural Economics Society.
    19. Luciano Gutierrez & Joakim Westerlund & Kenneth Erickson, 2007. "Farmland prices, structural breaks and panel data," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 34(2), pages 161-179, June.
    20. Anselin, Luc, 2007. "Spatial econometrics in RSUE: Retrospect and prospect," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 450-456, July.
    21. JunJie Wu & Kathleen Segerson, 1995. "The Impact of Policies and Land Characteristics on Potential Groundwater Pollution in Wisconsin," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 1033-1047.
    22. 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.
    23. Michael Brady & Elena Irwin, 2011. "Accounting for Spatial Effects in Economic Models of Land Use: Recent Developments and Challenges Ahead," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(3), pages 487-509, March.
    24. Randall, Alan & Castle, Emery N., 1985. "Land resources and land markets," Handbook of Natural Resource and Energy Economics, in: A. V. Kneese† & J. L. Sweeney (ed.), Handbook of Natural Resource and Energy Economics, edition 1, volume 2, chapter 13, pages 571-620, Elsevier.
    25. Jean CavailhËs & Pierre Wavresky, 2003. "Urban influences on periurban farmland prices," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(3), pages 333-357, September.
    26. Pam Guiling & B. Wade Brorsen & Damona Doye, 2009. "Effect of Urban Proximity on Agricultural Land Values," Land Economics, University of Wisconsin Press, vol. 85(2), pages 252-264.
    27. Stavins, Robert N & Jaffe, Adam B, 1990. "Unintended Impacts of Public Investments on Private Decisions: The Depletion of Forested Wetlands," American Economic Review, American Economic Association, vol. 80(3), pages 337-352, June.
    28. Miller, Douglas & Plantinga, Andrew J., 1999. "Modeling Land Use Decisions with Aggregate Data," Staff General Research Papers Archive 1487, Iowa State University, Department of Economics.
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