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Performance Evaluation of Rural Governance Using an Integrated AHP-VIKOR Methodology

In: Agricultural Cooperative Management and Policy

Author

Listed:
  • Giuseppa Romeo

    (Mediterranean University of Reggio Calabria)

  • Claudio Marcianò

    (Mediterranean University of Reggio Calabria)

Abstract

The objective of this study is to provide an assessment of the performance of the development process of the Leader Approach in the Rural Development Programme 2007–2013 in Calabria. In particular, on one hand, it measured and evaluated the application of the ‘Good Governance’ criteria by the identification and selection of an appropriate set of process indicators, procedures and actions practiced by Local Action Groups (LAG) in the planning phase of the Local Development Plans. On the other hand, those indicators have been employed to construct an evaluation tree through which the performance of each LAG is tested and compared to an ideal model of ‘Good Governance’. To this end, it used an integrated multicriteria model, which combines two techniques: the Analytic Hierarchy Process (AHP) and VlseKriterijumska Optimizacija the Kompromisno Resenje (VIKOR). The results deal with the definition of a possible model for assessing the quality of the integrated planning process of rural governance. The results can be useful to policy makers at the regional level and also to the LAGs in highlighting eventual elements of criticism and possible virtuous behaviours of their own planning process that can be considered in the future EU programming period of 2014–2020.

Suggested Citation

  • Giuseppa Romeo & Claudio Marcianò, 2014. "Performance Evaluation of Rural Governance Using an Integrated AHP-VIKOR Methodology," Cooperative Management, in: Constantin Zopounidis & Nikos Kalogeras & Konstadinos Mattas & Gert Dijk & George Baourakis (ed.), Agricultural Cooperative Management and Policy, edition 127, chapter 0, pages 109-134, Springer.
    • Handle: RePEc:spr:comchp:978-3-319-06635-6_6
    DOI: 10.1007/978-3-319-06635-6_6
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