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Building a Typology of European Rural Areas for the Spatial Impact Assessment of Policies (TERA-SIAP)

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Listed:
  • Peter Weingarten
  • Stefan Neumeier
  • Andrew Copus
  • Demetrios Psaltopoulos
  • Dimitris Skuras
  • Eudokia Balamou

Abstract

Within the TERA-SIAP project, we developed a set of regional typologies (at NUTS3 level) which provide a suitable basis for Spatial Impact Assessments of a range of current and possible kinds of intervention (Generic Policy Issues) for rural areas. From a range of socio-economic models, we selected Regional Input-Output Models for the Spatial Impact Assessment of two Axis 3 measures (diversification of rural economy, and renovation and development of villages). One of the seven typologies developed, which focused on economic diversification, was used to identify a set of representative case study regions. The modelling results for the 16 case regions illustrated the fact that different types of rural economies are clearly associated with different patterns of policy impacts and that typologies can assist in the choice of appropriate representative regions. The combination of typologies and models are shown to have the potential to enhance the capacity for quantitative Spatial Impact Assessment of rural policy.

Suggested Citation

  • Peter Weingarten & Stefan Neumeier & Andrew Copus & Demetrios Psaltopoulos & Dimitris Skuras & Eudokia Balamou, 2010. "Building a Typology of European Rural Areas for the Spatial Impact Assessment of Policies (TERA-SIAP)," JRC Research Reports JRC58493, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc58493
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC58493
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    References listed on IDEAS

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    1. Aurora Teixeira & Natércia Fortuna, 2003. "Human Capital, Innovation Capability and Economic Growth," FEP Working Papers 131, Universidade do Porto, Faculdade de Economia do Porto.
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    Cited by:

    1. Meri Raggi & Fabien Santini & Sergio Gomez y Paloma & Sébastien Mary, 2013. "A classification of European NUTS3 regions," JRC Research Reports JRC85163, Joint Research Centre.

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