Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
AGRICULTURAL AND ECONOMIC CONVERGENCE IN THE EU INTEGRATION PROCESS: DO GEOGRAPHICAL RELATIONSHIPS MATTER? Sassi M.1 - Pecci F.2 1University of Pavia, Dipartimento di Ricerche Aziendali, Pavia, Italy 2University of Verona, Dipartimento di Economie, società ed Istituzioni, Verona Italy OBJECTIVE 1. Objective 2. Relevance of the topic 3. Methodology 4. Time period and data set Agricultural real convergence process Enlargement form EU-15 to UE-27 5. Results 6. Conclusions GWR approach Economic real convergence process 1. Objective RELEVANCE OF THE TOPIC 2. Relevance of the topic Political and financial importance 3. Methodology 4. Time period and data set 5. Results Convergence process Integration and income gap reduction 6. Conclusions Rural development and cohesion 1. Objective 2. Relevance of the topic METHODOLOGY (1/2) Standard OLS growth regression VS. GWR approach 3. Methodology 4. Time period and data set 5. Results Bias regression coefficient 6. Conclusions Invalid significant tests Locally different parameters Spatial spillovers METHODOLOGY (2/2) 1. Objective 2. Relevance of the topic 3. Methodology 4. Time period and data set 5. Results OLS Global parameter of convergence 1 yiT ln 0 1 ln( yi 0 ) i T yi 0 GWR Local parameters of convergence 6. Conclusions 1 ln T y iT y i0 0 i 1i ln( y i0 ) i Unknown parameters more than degrees of freedom Weighted regression Weight values inverse function of the distance Adaptive bandwidth bi-square function 1. Objective TIME PERIOD AND DATA SET 2. Relevance of the topic 1991-2007 3. Methodology 4. Time period and data set Agricultural gross value added N. of agricultural workers Total gross value added N. of total workers 5. Results 6. Conclusions Cambridge Econometrics’ annual time series RESULTS: AGRICULTUAL SECTOR 1. Objective 2. Relevance of the topic 3. Methodology EU-15 EU-27 Global coefficient of convergence –0.034 Global coefficient of convergence –0.016 4. Time period and data set 5. Results 6. Conclusions 1. Objective 2. Relevance of the topic RESULTS: AGRICULTURE AND ECONOMY EU-27: AGRICULTURE EU-27: ECONOMY 3. Methodology 4. Time period and data set 5. Results 6. Conclusions Global coefficient of convergence –0.016 Global coefficient of convergence –0.015 Spearman Rank Correlation Coefficient = -0.031 1. Objective CONCLUSIONS (1/3) 2. Relevance of the topic Agricultural sector 3. Methodology 4. Time period and data set 5. Results 6. Conclusions No unique convergence rate No correlation between the speed of convergence at the regional level Economy 1. Objective CONCLUSIONS (2/3) 2. Relevance of the topic Intensity of convergence process 3. Methodology 4. Time period and data set 5. Results Geographical proximity 6. Conclusions Direction of convergence process 1. Objective CONCLUSIONS (3/3) 2. Relevance of the topic Neoclassical theory? 3. Methodology 4. Time period and data set 5. Results 6. Conclusions Integration has not supported convergence A better understanding of the factors of growth