Description
The objective of this Master’s final paper was to analyze the productivity in terms of vegetable production in the European Union 27 (EU-27) countries during the years between 2004 and 2012. The methodology adopted consisted in using FADN and Eurostat databases to compute a Total Factor Productivity (TFP) index in terms of time and space. The TFP index is a measure of marginal productivity. In time, it measures fluctuations in relation to the previous year, while in space, it measures fluctuations of each country in relation to the EU average. Subsequently, the analysis was carried out using the SPSS software through a Cluster analysis that allowed to group the different countries given their average TPFt and TPFs indexes. Lastly, STATA was used to run a truncated regression to understand which variables influence the TFP variations. Results showed that the countries with greater TFPt indexes and/or higher levels of development are Hungary, Latvia and Czech Republic, whilst for TFPs these countries are Italy, Spain and Lithuania. Using the K-means Cluster analysis it was possible to identify four groups of countries that distinguish themselves by their TFPs indexes. These are, by descending order, Group 1 (Greece, Spain, Italy and Lithuania), Group 2 (Belgium, Hungary, Poland and the United Kingdom), Group 3 (Bulgaria, Denmark, Germany, France, Latvia, Netherlands, Portugal and Sweden) and Group 4 (Czech Republic, Malta, Romania and Finland). According to the regression it was possible to conclude that for the TFPt index, the significant variables that explain its variation are the crisis, the percentage of SAU in greenhouses, the capital and the time, being the last the only one that affects positively the index. In what concerns the TFPs, the most significant variables are capital, family work ratio and time and they all affect negatively the index.| Period | 4 Dec 2015 |
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| Degree of Recognition | Master |