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Investigating The Economic And Water Quality Effects Of The 2003 Cap Reform On Arable Cropping Systems: A Scottish Case Study

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  • Mouratiadou, Ioanna
  • Russell, Graham
  • Topp, Cairistiona
  • Louhichi, Kamel

Abstract

The 2003 Common Agricultural Policy Reform aimed to promote the socio-economic and environmental sustainability of agricultural systems. An important question is how far the Reform has indeed encouraged farmers to contribute to achieving broad economic and environmental goals. The economic and water resource effects of the Reform have been explored for the case study area of the Lunan catchment, which is typical of Scottish arable cropping areas. Land use data analysis, bio-physical modelling and bio-economic modelling were used in combination to identify the effects of a range of scenarios. The results indicate only small changes in the cropping pattern and associated economic and water quality indicators as a result of the Reform, with the main changes in farmers' decision making being explained by crop price changes.

Suggested Citation

  • Mouratiadou, Ioanna & Russell, Graham & Topp, Cairistiona & Louhichi, Kamel, 2008. "Investigating The Economic And Water Quality Effects Of The 2003 Cap Reform On Arable Cropping Systems: A Scottish Case Study," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44797, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa109:44797
    DOI: 10.22004/ag.econ.44797
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    1. Ruben, Ruerd & Moll, Henk & Kuyvenhoven, Arie, 1998. "Integrating agricultural research and policy analysis: analytical framework and policy applications for bio-economic modelling," Agricultural Systems, Elsevier, vol. 58(3), pages 331-349, November.
    2. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    3. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    4. Louhichi, Kamel & Flichman, Guillermo & Blanco Fonseca, Maria, 2009. "A generic template for FSSIM," Reports 57463, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
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    Agricultural and Food Policy; Research Methods/ Statistical Methods;

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