Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 21, Issue -, Pages 324-330Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2012.12.061
Keywords
Carbon dioxide; Emission performance; Directional distance function; Stochastic frontier analysis
Funding
- National Natural Foundation of China [71203151, 41071348, 71041008]
- Postdoctoral Science Foundation of China [2012M510139]
- Social Science Foundation of Jiangsu Province [12GLC008]
- Higher School Philosophy & Social Sciences Foundation of Jiangsu Province Education Department [2012SJB630056]
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This paper looks at carbon dioxide (CO2) emissions from the point of view of production theory and proposes a new total factor CO2 emissions performance index. This is done using directional distance function followed by stochastic frontier analysis techniques in order to estimate the index. Based on this, it studies on CO2 emission performance, emission reduction potential and influences of regulatory policies in Chinese provinces. The main conclusions include the following: (1) CO2 emission performance in each province is high in southeastern coastal areas but low in central and western inland regions with differences increasing rapidly after 2001. (2) The relationship between CO2 emission performance and emission reduction potential can be divided into four types; high performance-high potential, high performance-low potential, low performance-high potential and low performance-low potential. (3) Regulations concerning emission reduction do not sacrifice efficiency but actually facilitate long-term CO2 emission performance. (C) 2013 Elsevier Ltd. All rights reserved.
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