IDEAS home Printed from https://ideas.repec.org/a/bla/presci/v88y2009i2p327-344.html
   My bibliography  Save this article

Determinants of land use changes: A spatial multinomial probit approach

Author

Listed:
  • Raja Chakir
  • Olivier Parent

Abstract

We propose a spatial multinomial probit model to examine the determinants of land use change, at the parcel level, in the French Département du Rhones from 1992 to 2003. It is based on an economic model that assumes that landowners have a choice between four land use categories for a given parcel at a given date: (1) agricultural, (2) forest, (3) urban, and (4) no use. We estimate a model that allows for both covariates and spatial dependence, and we use these features to explore the relative importance of factors that drive landowners to choose a specific land use category. Resumen Proponemos un modelo probit multinomial espacial para examinar los determinantes del cambio en el uso del suelo, a escala de parcela, en el Département du Rhones francés desde 1992 hasta 2003. Esta basado en un modelo económico que asume que los propietarios de la tierra pueden elegir entre cuatro categorías de uso del suelo para una parcela en una fecha dada: (1) agrícola, (2) forestal, (3) urbano, y (4) sin uso. Estimamos un modelo que permite tanto covariables como dependencia espacial, y lo utilizamos para explorar la importancia relativa de los factores que impulsan a los propietarios del suelo a elegir una categoría de uso del suelo en particular.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:presci:v:88:y:2009:i:2:p:327-344
    DOI: 10.1111/j.1435-5957.2009.00239.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1435-5957.2009.00239.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1435-5957.2009.00239.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Lewis, David J., 2010. "An economic framework for forecasting land-use and ecosystem change," Resource and Energy Economics, Elsevier, vol. 32(2), pages 98-116, April.
    3. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    4. David J. Lewis & Andrew J. Plantinga, 2007. "Policies for Habitat Fragmentation: Combining Econometrics with GIS-Based Landscape Simulations," Land Economics, University of Wisconsin Press, vol. 83(2), pages 109-127.
    5. 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.
    6. McCulloch, Robert E. & Polson, Nicholas G. & Rossi, Peter E., 2000. "A Bayesian analysis of the multinomial probit model with fully identified parameters," Journal of Econometrics, Elsevier, vol. 99(1), pages 173-193, November.
    7. Corinne Autant-Bernard & James Lesage & Olivier Parent, 2007. "Firm Innovation Strategies: a Spatial Cohort Multinomial Probit Approach," Annals of Economics and Statistics, GENES, issue 87-88, pages 63-80.
    8. Imai, Kosuke & Van Dyk, David A., 2005. "MNP: R Package for Fitting the Multinomial Probit Model," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i03).
    9. Alessandro De Pinto & Gerald C. Nelson, 2007. "Modelling Deforestation and Land‐Use Change: Sparse Data Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 502-516, September.
    10. Imai, Kosuke & van Dyk, David A., 2005. "A Bayesian analysis of the multinomial probit model using marginal data augmentation," Journal of Econometrics, Elsevier, vol. 124(2), pages 311-334, February.
    11. Kelley Pace, R. & Barry, Ronald, 1997. "Sparse spatial autoregressions," Statistics & Probability Letters, Elsevier, vol. 33(3), pages 291-297, May.
    12. 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.
    13. Claassen, Roger & Tegene, Abebayehu, 1999. "Agricultural Land Use Choice: A Discrete Choice Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 28(1), pages 1-11, April.
    14. 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.
    15. Kline, Jeffrey D., 2003. "Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 32(1), pages 1-13, April.
    16. Carmen Carrión-Flores & Elena G. Irwin, 2004. "Determinants of Residential Land-Use Conversion and Sprawl at the Rural-Urban Fringe," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 889-904.
    17. Irwin, Elena G. & Bell, Kathleen P. & Geoghegan, Jacqueline, 2003. "Modeling and Managing Urban Growth at the Rural-Urban Fringe: A Parcel-Level Model of Residential Land Use Change," Agricultural and Resource Economics Review, Cambridge University Press, vol. 32(1), pages 83-102, April.
    18. Irwin, Elena G. & Bockstael, Nancy E., 2004. "Land use externalities, open space preservation, and urban sprawl," Regional Science and Urban Economics, Elsevier, vol. 34(6), pages 705-725, November.
    19. Kline, Jeffrey D., 2003. "Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses," Agricultural and Resource Economics Review, Cambridge University Press, vol. 32(1), pages 103-115, April.
    20. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
    21. Claassen, Roger & Tegene, Abebayehu, 1999. "Agricultural Land Use Choice: A Discrete Choice Approach," Agricultural and Resource Economics Review, Cambridge University Press, vol. 28(1), pages 26-36, April.
    22. repec:adr:anecst:y:2007:i:87-88:p:04 is not listed on IDEAS
    23. 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.
    24. Erik Lichtenberg, 1989. "Land Quality, Irrigation Development, and Cropping Patterns in the Northern High Plains," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 187-194.
    25. Bell, Kathleen P. & Irwin, Elena G., 2002. "Spatially explicit micro-level modelling of land use change at the rural-urban interface," Agricultural Economics, Blackwell, vol. 27(3), pages 217-232, November.
    26. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
    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. Sandler, Austin M. & Rashford, Benjamin S., 2018. "Misclassification error in satellite imagery data: Implications for empirical land-use models," Land Use Policy, Elsevier, vol. 75(C), pages 530-537.
    4. Lungarska, Anna & Chakir, Raja, 2018. "Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation," Ecological Economics, Elsevier, vol. 147(C), pages 134-154.
    5. 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.
    6. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    7. 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.
    8. Basak Bayramoglu & Raja CHAKIR & Anna LUNGARSKA, 2016. "Land Use and Freshwater Ecosystems in France," EcoMod2016 9420, EcoMod.
    9. Li, Sheng & Nadolnyak, Denis & Hartarska, Valentina, 2019. "Agricultural land conversion: Impacts of economic and natural risk factors in a coastal area," Land Use Policy, Elsevier, vol. 80(C), pages 380-390.
    10. Lewis, David J., 2010. "An economic framework for forecasting land-use and ecosystem change," Resource and Energy Economics, Elsevier, vol. 32(2), pages 98-116, April.
    11. Christian Langpap & JunJie Wu, 2008. "Predicting the Effect of Land‐Use Policies on Wildlife Habitat Abundance," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(2), pages 195-217, June.
    12. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R., 2008. "Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3697-3708, March.
    13. Chonabayashi, Shun, 2014. "Accounting for Land Use Adaptation to Climate Change Impacts on US Agriculture," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170710, Agricultural and Applied Economics Association.
    14. Claassen, Roger & Carriazo, Fernando & Cooper, Joseph C. & Hellerstein, Daniel & Ueda, Kohei, 2011. "Grassland to Cropland Conversion in the Northern Plains: The Role of Crop Insurance, Commodity, and Disaster Programs," Economic Research Report 262239, United States Department of Agriculture, Economic Research Service.
    15. Ruben Loaiza-Maya & Didier Nibbering, 2020. "Scalable Bayesian estimation in the multinomial probit model," Papers 2007.13247, arXiv.org, revised Mar 2021.
    16. Raja Chakir, 2009. "Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy," Land Economics, University of Wisconsin Press, vol. 85(2), pages 238-251.
    17. Lubowski, Ruben N. & Plantinga, Andrew J. & Stavins, Robert N., 2003. "Determinants of Land-Use Change In the United States 1982-1997," Discussion Papers 10714, Resources for the Future.
    18. Katharine R E Sims & Jenny Schuetz, 2007. "Environmental Regulation and Land Use Change: Do Local Wetlands Bylaws Slow the Conversion of Open Space to Residential Uses?," CID Working Papers 18, Center for International Development at Harvard University.
    19. 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.
    20. Sims, Katharine R.E. & Schuetz, Jenny, 2009. "Local regulation and land-use change: The effects of wetlands bylaws in Massachusetts," Regional Science and Urban Economics, Elsevier, vol. 39(4), pages 409-421, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:presci:v:88:y:2009:i:2:p:327-344. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1056-8190 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.