IDEAS home Printed from https://ideas.repec.org/a/uwp/landec/v85y2009i2p238-251.html
   My bibliography  Save this article

Spatial Downscaling of Agricultural Land-Use Data: An Econometric Approach Using Cross Entropy

Author

Listed:
  • Raja Chakir

Abstract

We propose a spatial disaggregation tool to help researchers make the best use of aggregated data in studies of land use. The proposed approach uses parcel-level agricultural data in conjunction with biophysical processes to break down agricultural regional data to the pixel level. It is a two-step procedure. First, we estimate a land-use model using a multinomial logit model. Second, we disaggregate the observed regional data using a generalized cross-entropy approach, taking the first-step predictions as priors. This procedure is applied to the French Picardie region. Results indicate a significant correlation between observed and estimated land-use shares.

Suggested Citation

  • 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.
  • Handle: RePEc:uwp:landec:v:85:y:2009:i:2:p:238-251
    as

    Download full text from publisher

    File URL: http://le.uwpress.org/cgi/reprint/85/2/238
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. 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.
    3. Maddala,G. S., 1986. "Limited-Dependent and Qualitative Variables in Econometrics," Cambridge Books, Cambridge University Press, number 9780521338257, January.
    4. Lence, Sergio H & Miller, Douglas J, 1998. "Estimation of Multi-output Production Functions with Incomplete Data: A Generalised Maximum Entropy Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 25(2), pages 188-209.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aurbacher, Joachim & Dabbert, Stephan, 2011. "Generating crop sequences in land-use models using maximum entropy and Markov chains," Agricultural Systems, Elsevier, vol. 104(6), pages 470-479, July.
    2. António Xavier & Maria Belem Freitas & Maria do Socorro Rosário & Rui Fragoso, 2016. "Disaggregating Statistical Data at Field Level: An Entropy Approach," CEFAGE-UE Working Papers 2016_06, University of Evora, CEFAGE-UE (Portugal).
    3. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    4. Anna Lungarska & Pierre-Alain Jayet, 2018. "Impact of Spatial Differentiation of Nitrogen Taxes on French Farms’ Compliance Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 1-21, January.
    5. Lee, Juhee & Cho, Seong-Hoon & Kim, Taeyoung & Yu, Tun-Hsiang & Armsworth, Paul Robert, 2015. "Exploring tax-based payment approach for forest carbon sequestration," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196873, Southern Agricultural Economics Association.
    6. Pierre-Alain Jayet & Delphine Barberis & Pierre Humblot & Anna Lungarska, 2018. "Spatializing the results of a bioeconomic model on water demand for irrigation needs [Spatialisation de la demande en eau d’irrigation estimée par un modèle bioéconomique]," Post-Print hal-02617894, HAL.
    7. Xavier, Antonio & Martins, Maria de Belem Costa Freitas & Fragoso, Rui Manuel de Sousa, 2011. "Recovery of Incomplete Data of Statistical Livestock Number Applying an Entropy Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115790, European Association of Agricultural Economists.
    8. 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.
    9. Britz, Wolfgang & Heckelei, Thomas, 2008. "Recent Developments In Eu Policies – Challenges For Partial Equilibrium Models," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6315, European Association of Agricultural Economists.
    10. Wade, Tara & Kurkalova, Lyubov A. & Secchi, Silvia, 2012. "Using the logit model with aggregated choice data in estimation of Iowa corn farmers’ conservation tillage subsidies," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124974, Agricultural and Applied Economics Association.
    11. Wade, Tara & Kurkalova, Lyubov & Secchi, Silvia, 2016. "Modeling Field-Level Conservation Tillage Adoption with Aggregate Choice Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    12. Britz, Wolfgang, 2008. "EU-wide spatial down-scaling of results of regional economic models to analyze environmental impacts," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6677, European Association of Agricultural Economists.
    13. Jian Chen & Whitney P. Broussard & David M. Borrok & Fabiane B. Speyrer, 2019. "A GIS-Based Framework to Identify Opportunities to Use Surface Water to Offset Groundwater Withdrawals," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3227-3237, July.
    14. Hyunseok Kim & GianCarlo Moschini, 2018. "The Dynamics of Supply: U.S. Corn and Soybeans in the Biofuel Era," Center for Agricultural and Rural Development (CARD) Publications 18-wp579, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    15. António Xavier & Rui Fragoso & Maria Belém Costa Freitas & Maria Socorro Rosário, 2019. "An Approach Using Entropy and Supervised Classifications to Disaggregate Agricultural Data at a Local Level," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 763-779, December.
    16. Morrison, Kathryn T. & Nelson, Trisalyn A. & Ostry, Aleck S., 2011. "Methods for mapping local food production capacity from agricultural statistics," Agricultural Systems, Elsevier, vol. 104(6), pages 491-499, July.
    17. António Xavier & Rui Fragoso & Maria De Belém Costa Freitas & Maria Do Socorro Rosário & Florentino Valente, 2018. "A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level," Land, MDPI, vol. 7(2), pages 1-16, May.
    18. Zack Dorner & Dean Hyslop, 2014. "Modelling Changing Rural Land Use in New Zealand 1997 to 2008 Using a Multinomial Logit Approach," Working Papers 14_12, Motu Economic and Public Policy Research.
    19. Valentin Bellassen & Jean-Sauveur Ay & Mohamed Hilal, 2020. "The drivers of spatial cropping patterns in Burgundy," Working Papers hal-02894116, HAL.
    20. Fezzi, Carlo & Bateman, Ian J., 2009. "Structural Agricultural Land Use Modelling," 2009 Conference, August 16-22, 2009, Beijing, China 51423, International Association of Agricultural Economists.
    21. Cyril Bourgeois & Pierre-Alain Jayet & Florence Habets & Pascal Viennot, 2018. "Estimating the Marginal Social Value of Agriculturally Driven Nitrate Concentrations in an Aquifer: A Combined Theoretical-Applied Approach," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-30, January.
    22. 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.
    23. Lungarska, Anna & Jayet, Pierre-Alain, 2014. "Geographical Labeling of Agri-Food Products and its Incidence on the Cross-Sectional Approach to Climate Change Impacts Assessment," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182746, European Association of Agricultural Economists.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Lewis, David J. & Plantinga, Andrew J. & Nelson, Erik & Polasky, Stephen, 2011. "The efficiency of voluntary incentive policies for preventing biodiversity loss," Resource and Energy Economics, Elsevier, vol. 33(1), pages 192-211, January.
    7. 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.
    8. Fezzi, Carlo & Bateman, Ian J., 2009. "Structural Agricultural Land Use Modelling," 2009 Conference, August 16-22, 2009, Beijing, China 51423, International Association of Agricultural Economists.
    9. 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.
    10. Polyakov, Maksym & Zhang, Daowei, 2008. "Population Growth and Land Use Dynamics along Urban–Rural Gradient," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-18, August.
    11. 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.
    12. 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.
    13. Basak Bayramoglu & Raja CHAKIR & Anna LUNGARSKA, 2016. "Land Use and Freshwater Ecosystems in France," EcoMod2016 9420, EcoMod.
    14. Lynch, Lori & Geoghegan, Jacqueline, 2011. "FOREWORD: The Economics of Land Use Change: Advancing the Frontiers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), pages 1-6, December.
    15. Elena G. Irwin & Andrew M. Isserman & Maureen Kilkenny & Mark D. Partridge, 2010. "A Century of Research on Rural Development and Regional Issues," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 522-553.
    16. Van Butsic & David J. Lewis & Lindsay Ludwig, 2011. "An Econometric Analysis of Land Development with Endogenous Zoning," Land Economics, University of Wisconsin Press, vol. 87(3), pages 412-432.
    17. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    18. 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.
    19. Mu, Jianhong E. & Mihiar, Christopher & Lewis, David J. & Sleeter, Benjamin & Abatzoglou, John T., 2016. "An Empirical Analysis of Climate Uncertainty and Land-use Transitions in the U.S. Pacific and Mountain Regions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236643, Agricultural and Applied Economics Association.
    20. Shimada, Hideki, 2020. "Do monetary rewards for spatial coordination enhance participation in a forest incentive program?," Ecological Economics, Elsevier, vol. 177(C).

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

    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:uwp:landec:v:85:y:2009:i:2:p:238-251. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://le.uwpress.org/ .

    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: (email available below). General contact details of provider: http://le.uwpress.org/ .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.