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A Mixed Geographically Weighted Approach to Decoupling and Rural Development in the EU-15

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  • Pecci, Francesco
  • Sassi, Maria

Abstract

The CAP reform and the recent EC communication aimed at preparing its Health Check emphasise the need for interventions locally based where agricultural policy integrates with a broader policy for rural areas growth. In this context, the paper investigates the possible different sets policy indicators affecting agricultural productivity at the regional level considering spatial heterogeneity by means of a Mixed Geographically Weighted Regression approach. The analysis is based on a set of policy sensitive indicators selected according to the key component of the CAP reform and referred to a sample of 164 EU-15 regions at NUTS2 level. The methodology adopted, new for the empirical literature on the topic, allows for a more accurate understanding of spatial relationship of the agricultural and socio-economic factors affecting agricultural productivity at the local level providing useful information for policy making.

Suggested Citation

  • Pecci, Francesco & Sassi, Maria, 2008. "A Mixed Geographically Weighted Approach to Decoupling and Rural Development in the EU-15," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6625, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa107:6625
    DOI: 10.22004/ag.econ.6625
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    File URL: https://ageconsearch.umn.edu/record/6625/files/cp08pe01.pdf
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    Cited by:

    1. repec:kap:iaecre:v:16:y:2010:i:1:p:96-108 is not listed on IDEAS
    2. Kang, Dong-Woo & Kim, Mi-young & Cho, Deok-ho & Lee, Seong-woo, 2010. "The Effects of Urban Development Pressure on Agricultural Land Price: Application of a Mixed GWR Model," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 33(4), pages 1-21, October.
    3. Maria Sassi, 2010. "OLS and GWR Approaches to Agricultural Convergence in the EU-15," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(1), pages 96-108, February.

    More about this item

    Keywords

    Agricultural and Food Policy; Community/Rural/Urban Development; Research Methods/ Statistical Methods;
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