Published November 2013 | Version v1
Journal article

Technology gap and China's regional energy efficiency: A parametric metafrontier approach

  • 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.2013.08.013

Additional 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.