An estimation of technical and energy : an application to European industries

• Κύριος συγγραφέας: Κανελλάκη, Ευφροσύνη
• Άλλοι συγγραφείς: Κουνέτας, Κωνσταντίνος
• Μορφή: Thesis
• Γλώσσα: English
• Έκδοση: 2017
• Θέματα: Economic efficiency; European industries; Technological efficiency; Environmental efficiency; Pollutant emissions; Ευρωπαϊκές βιομηχανίες; Εκπομπή ρύπων; Οικονομική αποδοτικότητα; Τεχνολογική αποδοτικότητα; 338.06

Improved energy and environmental efficiency is a key concern of the European Union for the reduction of emissions, improving energy security and economic development. The aim of this thesis is the calculation at sectoral level three different performance measures. The first relates to the technical efficiency, the second environmental effectiveness and the third energy efficiency. In a second step, using statistical techniques will be a descriptive analysis of praying and then identified and presented possible links between such measures. The measurement of environmental efficiency and the identification of its determinants are important in order to evaluate existing environmental policies and design new policies. Since the end of the 1980s, a large and growing literature has developed on the application of frontier techniques - particularly Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) - to measuring environmental efficiency. Energy efficiency measures reduce the energy needed to produce the same quantity of goods and services or increase the output whilst keeping energy consumption constant. In addition to this direct contribution to improved competitiveness, energy efficiency measures provide indirect or ‘non-energy benefits’ that can increase the level of productivity. Both direct and indirect energy efficiency benefits therefore affect competitiveness. A commonly used measure in this context is the energy intensity of an economy which measures the energy consumption of an economy and its energy efficiency; it is the ratio between gross inland consumption of energy and gross domestic product. For this thesis will be used panel data. The research part, preceded by the theoretical foundation of the measures and the review of the existing literature.