Journal
ENERGY
Volume 76, Issue -, Pages 884-890Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2014.08.089
Keywords
Latent class analysis; Stochastic frontier analysis; Energy efficiency; Technology heterogeneity
Categories
Funding
- Newhuadu Business School, Ministry of Education Foundation [10JZD0018]
- Basic Research Universities Special Foundation [2010221051]
- Ministry of Education Foundation [10JBG013]
- National Social Science Foundation [09ZD050]
- Yinxing Economic Research Fund
Ask authors/readers for more resources
The importance of technology heterogeneity in estimating economy-wide energy efficiency has been emphasized by recent literature. Some studies use the metafrontier analysis approach to estimate energy efficiency. However, for such studies, some reliable priori information is needed to divide the sample observations properly, which causes a difficulty in unbiased estimation of energy efficiency. Moreover, separately estimating group-specific frontiers might lose some common information across different groups. In order to overcome these weaknesses, this paper introduces a latent class stochastic frontier approach to measure energy efficiency under heterogeneous technologies. An application of the proposed model to Chinese energy economy is presented. Results show that the overall energy efficiency of China's provinces is not high, with an average score of 0.632 during the period from 1997 to 2010. (C) 2014 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available