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

Author

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  • Britz, Wolfgang
Abstract
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.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:eaa107:6677
    DOI: 10.22004/ag.econ.6677
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
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    1. 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.
    2. Mark Brady & Konrad Kellermann & Christoph Sahrbacher & Ladislav Jelinek, 2009. "Impacts of Decoupled Agricultural Support on Farm Structure, Biodiversity and Landscape Mosaic: Some EU Results," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(3), pages 563-585, September.
    3. 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.

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    Environmental Economics and Policy; Research Methods/ Statistical Methods;

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