Technical and total factor energy efficiency of European regions: A two-stage approach
By Djula Borozan. Energy, 2018
126 citations recorded by the source corpus.
Abstract This paper considers energy as a basic resource which together with capital and labor contributes to output creation. It aims to explore whether European Union (EU) regions use these production factors in an efficient way as well as to assess the impact of various environmental variables on technical and energy efficiency. To that end, a two-stage analysis was conducted for the period 2005–2013. The first stage included an estimation of pure technical and total factor energy efficiency (TFEE) scores using the data envelopment analysis (DEA) methodology, while the second one included an exploration of the factors affecting efficiency scores obtained in the first stage by using random-effects panel Tobit regression. The results of DEA show that regional differences in technical and energy efficiency are considerable, whereby most of EU regions failed to utilize efficiently all of their resources. More developed EU regions are more technically and energy efficient. Moreover, most of EU regions experienced deterioration in TFEE in the recession years. The results of Tobit regression analysis, showing that there is a difference in the determinants of technical and energy efficiency, point out that human capital and innovation are particularly important for improving the region's efficiency or ecological performance.
Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/86d169502d5c7bf334b0504da1d1dd62fca65a30
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In Economics and Econometrics
- Dominik Wiedenhofer
- Daniel Hausknost
- M. Pichler
- Paul E. Brockway
- Barbara Plank
- G. Kalt
- T. Fishman
- Felix Creutzig
In Environmental Engineering
- H. Haberl
- F. Krausmann
- Dominik Wiedenhofer
- Andreas Mayer
- Daniel Hausknost
- A. Schaffartzik
- T. Fishman
- Felix Creutzig
In Management Science and Operations Research
Citations in the corpus
- A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: synthesizing the insights (2020, methodology): “Energy efficiency is usually defined as GDP per unit energy used (see Hu and Kao 2007, Marcotullio and Schultz 2007, Jakob et al 2012, Borozan 2018, Cunha et al 2018, Moreau et al 2019) or its inverse, energy intensity (see Ang and Liu 2006, Duro et al 2010, Liddle 2012, Mulder and de Groot 2012). S”