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

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  • 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
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    References listed on IDEAS

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    1. 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(01), July.
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    3. 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.
    4. 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.
    5. 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, pages 135-152.
    6. 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.
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    Cited by:

    1. 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).
    2. Pavel Ciaian & Maria Espinosa & Sergio Gomez y Paloma & Stephen Langrell & Kamel Louhichi & Thierry Vard & Thomas Heckelei & Paolo Sckokai & Alban Thomas, 2013. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," JRC Working Papers JRC79969, Joint Research Centre (Seville site).
    3. repec:kap:enreec:v:69:y:2018:i:1:d:10.1007_s10640-016-0064-9 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. Anonymous & 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.
    11. Aurbacher, Joachim & Dabbert, Stephan, 2011. "Generating crop sequences in land-use models using maximum entropy and Markov chains," Agricultural Systems, Elsevier, pages 470-479.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Morrison, Kathryn T. & Nelson, Trisalyn A. & Ostry, Aleck S., 2011. "Methods for mapping local food production capacity from agricultural statistics," Agricultural Systems, Elsevier, pages 491-499.

    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

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