Evaluation of Regional Productivity and Efficiency in Spain using Data Envelopment Analysis
Tutor / director / evaluatorOhsato, Ario
Document typeMaster thesis (pre-Bologna period)
Rights accessRestricted access - confidentiality agreement
In July 2007, after many years of strong and continuous economic growth, a worldwide crisis started and is still affecting all developed world and developing countries. The housing sector collapsed in the United States and extended the crisis to global financial markets in what is known as the "subprime mortgage crisis", the most important crisis since the Great Depression, according to experts. Nowadays, signs of economic recovery seem to be appearing in some countries, while in others (like Spain), economists can not still predict the end of this crisis. With this economic context, the global level of demand (within all economic sectors) has maintained or even has decreased during the last two years. In this situation, the only way for companies to survive is by improving their productivity. At a macroeconomic level, improving efficiency will make it more competitive in international markets, decreasing the negative impact of the crisis on the unemployment and the economic growth. In Spain, the economic crisis is having a worse impact than in other European Union (EU) countries, and the low levels of productivity are thought to be one of the most important reasons. The first step to improve overall productivity is to find out where the productivity level is lower inside Spain, and then it can be more easily improved. In this thesis, regional levels of economic efficiency will be evaluated, in order to find the weak regions in Spain, which have a bad influence on the overall productivity. To do so, Data Envelopment Analysis (DEA) will be used. DEA is an analytical tool which, given a set of Decision Making Units (DMU) with their set of inputs and outputs, evaluates their efficiency, by comparing their performances.
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