Technology gap and China's regional energy efficiency: A parametric metafrontier approach
Creators
- 1. Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, Xiamen University, Xiamen, Fujian 361005 (China)
- 2. New Huadu Business School, Minjiang University, Fuzhou, Fujian 350108 (China)
- 3. School of Energy Research, Xiamen University, Xiamen, Fujian 361005 (China)
Description
This paper analyzes the energy efficiency of China's 30 administrative regions during the period from 1997 to 2010. Most existing studies ignored the variation of production technologies among regions in China. Taking this factor into account, we introduce a parametric metafrontier approach based on the Shephard energy distance function. For further analysis, regions in China are divided into three groups using cluster analysis. We find that the regions in group 1 (mainly the regions in the east area of China) not only have the highest energy efficiency score, but also take the lead in terms of technology gap ratio. Meanwhile, due to their backward technology levels, the average energy efficiency score of the regions in group 3 (mainly the regions in the west area of China) is particularly low. Moreover, the pooled estimation, which ignores the technology gap among the groups, tends to underestimate the energy efficiency. - Highlights: • A new approach is used to account for heterogeneous technologies. • The pooled estimation is biased. • China still has large potentials for energy savings. • In the long run, reducing technology gap is the key to improve energy efficiency
Availability note (English)
Available from http://dx.doi.org/10.1016/j.eneco.2013.08.013Additional details
Identifiers
- DOI
- 10.1016/j.eneco.2013.08.013;
- PII
- S0140-9883(13)00186-2;
Publishing Information
- Journal Title
- Energy Economics
- Journal Volume
- 40
- Journal Page Range
- p. 529-536
- ISSN
- 0140-9883
- CODEN
- EECODR
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45112732
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- CHINA; ENERGY CONSERVATION; ENERGY EFFICIENCY; MATHEMATICAL MODELS
- Descriptors DEC
- ASIA; EFFICIENCY
Optional Information
- Copyright
- Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.