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Salvage the treasure of geographic information in Farm census data

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  • Gocht, Alexander
  • Roder, Norbert

Abstract

In Germany, since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.600 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at municipality level with a complete coverage of the agricultural sector in Germany. We successfully applied a Bayesian estimator, that uses prior information derived a cluster analysis based on the micro census and GIS information. Our test statistics of the estimation, calculated by the statistical office, comparing our estimates and the real protected data, reveals that the proposed approach adequately estimates most activities and can be used to fed the municipality layer in the RAUMIS modelling system for an extended policy analysis.

Suggested Citation

  • Gocht, Alexander & Roder, Norbert, 2011. "Salvage the treasure of geographic information in Farm census data," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115982, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:115982
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    File URL: http://purl.umn.edu/115982
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    References listed on IDEAS

    as
    1. Gocht, Alexander & Britz, Wolfgang, 2010. "Eu-Wide Farm Types Supply In Capri - How To Consistently Disaggregate Sector Models Into Farm Type Model," 50st Annual Conference, Braunschweig, Germany, September 29-October 1, 2010 93960, German Association of Agricultural Economists (GEWISOLA).
    2. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    3. You, Liangzhi & Wood, Stanley, 2006. "An entropy approach to spatial disaggregation of agricultural production," Agricultural Systems, Elsevier, vol. 90(1-3), pages 329-347, October.
    4. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Highest Posterior Density estimator (HPD); RAUMIS; Down scaling; Research Methods/ Statistical Methods; C11; C61; C81; Q15;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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