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A multicriteria model for the assessment of rural development plans in Greece
Affiliation:1. Key Lab of Opto-electronic Information Acquisition and Manipulation, Ministry of Education, Anhui University, Hefei 230039, PR China;2. Department of Physics, Anhui Medical University, Hefei 230032, PR China;1. Chair for Strategic Landscape Planning and Management, Center for Life and Food Sciences Weihenstephan, Technische Universität München, Emil-Ramman-Str. 6, Freising 85354, Germany;2. Leibniz Centre for Agricultural Landscape Research, Institute of Socio-Economics, Eberswalder Straβe 84, 15374 Müncheberg, Germany;3. Center for Plant Conservation Botanic Gardens - Indonesian Institute of Sciences, Jakarta, Indonesia;1. Thünen-Institute, Braunschweig, Germany;2. IPTS JRC EU Commission, Seville, Spain;3. IPTS JRC EU Commission, Ispra, Italy;4. DG-AGRI EU Commission, Brussels, Belgium;1. School of Public Policy and Administration, Chongqing University, Chongqing, 400044, China;2. Zaozhuang Science and Technology Bureau, Zaozhuang, 277000, China;3. The Administrative Center for China’s Agenda 21, Beijing, 100036, China;1. Centre for Environmental and Climate Research, Lund University, Sweden;2. Department of Biology, Lund University, Sweden;3. Department of Economics, Swedish University of Agricultural Sciences, Sweden;4. Swedish Environmental Protection Agency, Sweden;5. Swedish Board of Agriculture, Sweden
Abstract:In the last decades rural communities face the problems of ageing of population, high share of elder farmers and imbalanced distribution of farmers across age classes. The Rural Development Plans (RDPs) of Common Agricultural Policy (CAP) in European Union (EU) are the policy instruments that affect agriculture and the people living in rural areas. The RDP measure “Setting up Young Farmers” aims to fight the demographic problems of these areas. This study is an attempt to highlight the role and the impacts of RDPs and especially of the “Setting up Young Farmers” measure in the prefecture of Thessaloniki in Greece. To this end, a multicriteria mathematical programming model was implemented. This methodology was chosen using the Knowledge Brokerage Approach in the context of the LIAISE project, which proposes a set of support modules that are linked to the impact assessment process with a final goal to support future policies and design. The results showed that the “Setting up young farmers” measure achieved its goals to transfer land to young, trained farmers, to offset the set-up costs faced by young people when establishing themselves in farming.
Keywords:Multicriteria mathematical programming  Knowledge Brokerage Approach  Impact assessment  Rural development
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