Title: Capturing Market Impacts of Farm Level Policies: a Statistical Extrapolation Approach Using Biophysical Characteristics and Farm Resources
Authors: PEREZ DOMINGUEZ IgnacioBEZLEPKINA IrinaHECKELEI ThomasROMSTAD EirikOUDE LANSINK AlfonsKANELLOPOULOS Argyris
Citation: ENVIRONMENTAL SCIENCE & POLICY vol. 12 no. 5 p. 588-600
Publisher: ELSEVIER SCI LTD
Publication Year: 2009
JRC N°: JRC47850
ISSN: 1462-9011
URI: http://www.elsevier.com/locate/envsci
http://publications.jrc.ec.europa.eu/repository/handle/JRC47850
DOI: 10.1016/j.envsci.2009.02.006
Type: Articles in Journals
Abstract: Technical change at the farm level or changes in input prices often impact the firm's supply function. These changes can take place in numerous ways. This paper presents a methodology that increases the consistency of supply responses across various sets of agricultural products and most representative farm typologies in Europe, with a market model based on a statistical response function approach. Since most farm simulation models are limited to a subset of regions and farm types, the linkage to an aggregated model requires a procedure for expanding these results to non sample regions to achieve full regional coverage. This paper addresses theoretical aspects related to the consistency between micro and market level models. The proposed approach is demonstrated using consistent multi regional simulation results from farm models in seven European regions. Our results show fairly stable behaviour of the farm models considered for the analysis and quite good fit of the extrapolated response. As results are still preliminary we critically reflect on the applicability of this method in addressing further needs on up scaling of other economic as well as non economic indicators.
JRC Institute:Institute for Prospective Technological Studies

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