Τεχνικές πολυκριτήριας ανάλυσης & Περιβάλλουσας Ανάλυσης Δεδομένων για τον εξορθολογισμό των αγροτικών επιδοτήσεων
KeywordsΠολυκριτήρια ανάλυση αποφάσεων ; Κοινή αγροτική πολιτική ; Περιβάλλουσα Ανάλυση Δεδομένων ; Αγροτική οικονομία ; Ευστάθεια ; Αξιολόγηση στις αγροτικές εκμεταλλεύσεις ; Multicriteria decision making ; Common agricultural policy ; Data envelopment analysis ; Agriculture ; Robustness ; Evaluation of agricultural units
The Common Agricultural Policy (CAP) is the unified Agricultural Policy of the European Union (EU) member states, whereby the income support is provided and the market as well as the rural development is regulated. The CAP suffered several reforms to the income support, which is nowadays provided in the form of area direct payment (1rst Pillar). In this thesis, a method is proposed as an evaluation tool to determine the financial aid, through which the productivity is enhanced. The purpose is to distribute more objectively and effectively the funds to the beneficiaries-producers, in accordance to the rules of the CAP. The lack of evaluation leads to dereliction of agricultural holdings, and the so-called "sofa-farmers" are often financially supported. The methodology, as a synergy of two methods, for assessing the agricultural units follows the principles of Analytic-Synthetic approach and consists of three phases. Initially, once the appropriate criteria capable of evaluating the agricultural holdings are selected, the first multicriteria method is applied; the model UTASTAR with input and output criteria. The Decision Maker (DM) provides the preference information, with the ranking evaluation on the representative sample, and he provides the estimated financial aid. In this context, post-optimality and stability analyses are applied to obtain the first estimation of the direct payment, with the implementation of the piecewise linear regression line based on the estimated financial aid. In the second phase, the prediction model is applied, which is a linear regression, leading to the second estimation of the direct payment. Substantially, through this model the criteria are correlated with the estimated payment. In the third and last phase of the methodology, two indicators are proposed to assess the application of the methodology; namely the transformed DEA model and the entropy model. The final direct payment is the revised linear combination of the two estimations, while the indicators assess cumulative the results of the methodology. This thesis also includes two case studies of the agricultural sector, both from the last two CAPs' reforms, the scheme of industrial tomato and the one for juicing citrus. The methodology is applied to evaluate the agricultural units and to assess their direct payment. The results are presented and thoroughly discussed. The rationalization of subsidies will clearly lead to enhanced productivity and competitiveness of the beneficiaries. The thesis concludes with a summary of key points and future work.