Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model
Xiaowei Song,
Yongpei Hao and
Xiaodong Zhu
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Xiaowei Song: State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
Yongpei Hao: School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
Xiaodong Zhu: State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
Sustainability, 2015, vol. 7, issue 7, 1-20
Abstract:
Many countries are attempting to reduce energy consumption and CO 2 emissions while increasing the productivity and ef?ciency of their industries. An undesirable-output-oriented data envelopment analysis (DEA) model with slacks-based measure (SBM) was used to evaluate the changes in the environmental efficiency of the transportation sector in 30 Chinese provinces (municipalities and autonomous regions) between 2003 and 2012. The potential for decreasing CO 2 emissions and energy saving was also assessed. Transportation was found to be inef?cient in most of the provinces and the average environmental efficiency was low (0.45). The overall average efficiency reached a maximum in 2005 and continually decreased until a minimum was reached in 2009; since then, it has increased. In general, transportation is more efficient in eastern than in central or western China. A sensitivity analysis was also carried out on the input and output indicators. Based on these ?ndings, some policies are proposed to improve the environmental ef?ciency of the transportation sector in China.
Keywords: environmental efficiency; transportation sector; undesirable output; SBM-DEA model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (20)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:7:y:2015:i:7:p:9187-9206:d:52592
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