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EU-wide spatial down-scaling of results of regional economic models to analyze environmental impacts

  • Britz, Wolfgang

Major environmental indicators require data at a spatial resolution below administrative units as found in economic models. The CAPRI-Dynaspat project added spatial results for EU27 to the CAPRI model allowing for linkage to bio-physical models and calculation of novel indicators. The layer consists of clusters of 1x1 km cells exhausting the agricultural area, uniform in soil parameters, slope class, land cover and administrative unit. Crop and irrigation shares, stocking densities and yields are estimated per cluster along with intermediate input demand including crop specific fertilizer application rates. Those estimates drive statistically estimated meta-models from the bio-physical crop growth model DNDC to derive the nitrogen and water cycle. Indicator calculators allow estimating further impacts as e.g. different gaseous emissions or economic performance of agriculture. The results are available for the base year, for projection or scenario results, thus allowing analyzing environmental impacts in a spatial context.

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File URL: http://purl.umn.edu/6677
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Paper provided by European Association of Agricultural Economists in its series 107th Seminar, January 30-February 1, 2008, Sevilla, Spain with number 6677.

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Date of creation: 2008
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Handle: RePEc:ags:eaa107:6677
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  1. 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.
  2. Elbersen, Berien S. & Kempen, Markus & van Diepen, C.A. & Andersen, Erling & Hazeu, Gerard W. & Verhoog, A. David, 2006. "Protocols for spatial allocation of farm types," Reports 9285, SEAMLESS: System for Environmental and Agricultural Modelling, Linking European Science and Society.
  3. 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.
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