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Investigation of the relative efficiency of LEADER+ in rural areas of Northern Greece

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  • George Vlontzos
  • Garyfallos Arabatzis
  • Basil Manos

Abstract

The aim of this paper is to investigate and measure the relative efficiency of LEADER+ action plans of seven rural areas in Northern Greece. To this end, a Data Envelopment Analysis (DEA) model is used, which is based on data from LEADER+ provided by the Ministry of Agriculture. In particular, the DEA method is used for measuring the relative efficiency of local actions and for the investigation of the inputs and outputs and to show how the maximisation of their relative efficiencies could be achieved through its use. The specific DEA model has the required characteristics for the empirical application of the input-oriented DEA method. The model shows that some Decision-Making Units could maximise their relative efficiency by proceeding to internal adjustments of the inputs being used, and it is these internal adjustments which are being taken into consideration for this paper.

Suggested Citation

  • George Vlontzos & Garyfallos Arabatzis & Basil Manos, 2014. "Investigation of the relative efficiency of LEADER+ in rural areas of Northern Greece," International Journal of Green Economics, Inderscience Enterprises Ltd, vol. 8(1), pages 37-48.
    • Handle: RePEc:ids:ijgrec:v:8:y:2014:i:1:p:37-48
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    Citations

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    Cited by:

    1. Nikolaos Apostolopoulos & Panagiotis Liargovas & Stavros Stavroyiannis & Ilias Makris & Sotiris Apostolopoulos & Dimitrios Petropoulos & Eleni Anastasopoulou, 2020. "Sustaining Rural Areas, Rural Tourism Enterprises and EU Development Policies: A Multi-Layer Conceptualisation of the Obstacles in Greece," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    2. Spyros Niavis & Nikos Tamvakis & Basil Manos & George Vlontzos, 2018. "Assessing and Explaining the Efficiency of Extensive Olive Oil Farmers: The Case of Pelion Peninsula in Greece," Agriculture, MDPI, vol. 8(2), pages 1-13, February.
    3. Runqi Lun & Qiyou Luo & Mingjie Gao & Guojing Li & Tengda Wei, 2023. "How to Break the Bottleneck of Potato Production Sustainable Growth—A Survey from Potato Main Producing Areas in China," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    4. Vlontzos, G. & Pardalos, P.M., 2017. "Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 155-162.
    5. Siyan Zeng & Fengwu Zhu & Fu Chen & Man Yu & Shaoliang Zhang & Yongjun Yang, 2018. "Assessing the Impacts of Land Consolidation on Agricultural Technical Efficiency of Producers: A Survey from Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-17, July.

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