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Differences of farm structural change across European regions

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  • Zimmermann, Andrea
  • Heckelei, Thomas

Abstract

Challenges arising from the EU policy focus on rural development lead to an increased demand for farm structure analyses at a regional level. The study’s aim is to show (1) which way structural change differs across EU15 regions referring to size and production orientation and (2) how far certain regional characteristics contribute to those differences. A Markov chain analysis combining sample and aggregate data is used to identify regionally different development paths. Significant regional differences are observed regarding the farm number development in general and with respect to size and specialisation classes. A cross-sectional analysis shows that region-specific structural variables partially explain those differences.

Suggested Citation

  • Zimmermann, Andrea & Heckelei, Thomas, 2012. "Differences of farm structural change across European regions," Discussion Papers 162879, University of Bonn, Institute for Food and Resource Economics.
  • Handle: RePEc:ags:ubfred:162879
    DOI: 10.22004/ag.econ.162879
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    Cited by:

    1. Hugo Storm & Thomas Heckelei & Ron C. Mittelhammer, 2016. "Bayesian estimation of non-stationary Markov models combining micro and macro data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(2), pages 303-329.
    2. Storm, Hugo & Heckelei, Thomas & Espinosa, María & Gomez y Paloma, Sergio, 2015. "Short Term Prediction of Agricultural Structural Change using Farm Accountancy Data Network and Farm Structure Survey Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(03), September.
    3. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.

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