Journal
ENERGY POLICY
Volume 57, Issue -, Pages 7-13Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2012.02.062
Keywords
DEA; Undesirable output; Industry
Funding
- National Natural Science Funds of China [70821001, 70901069]
- Research Fund for the Doctoral Program of Higher Education of China for New Teachers [20093402120013]
- Research Fund for the Excellent Youth Scholars of Higher School of Anhui Province of China [2010SQRW001ZD]
- Social Science Research Fund for Higher School of Anhui Province of China [2010SK004]
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The industry in China has been developing extensively in the last few decades. Large investments in China's industry may cause congestion because congestion is a widely observed economic phenomenon in such a scenario. In order to know the performance and allocate resources well, it is necessary for the Chinese government to measure congestion of the industry. Many scholars have studied this topic by means of data envelopment analysis (DEA). However, previous studies only pay attention to the framework of desirable outputs. In fact, undesirable outputs often accompany desirable outputs in production. Thus, in this study, a new approach for measuring congestion with undesirable outputs is proposed and applied to analyzing congestion of the industry in 31 administrative regions of China. The results show that five regions have congestion in their industry in 2010. Besides, the regions located in the east of the country perform the best in ecological efficiency, followed by regions in central and west China. Based on these findings, this paper proposes some political schemes to improve regional industrial efficiency. (C) 2012 Elsevier Ltd. All rights reserved.
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