China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation

Data envelopment analysis (DEA) has recently become a popular approach in measuring the energy and environment performance at the macro-economy level. A common limitation of several previous studies is that they ignored the undesirable outputs and did not consider the separation of inputs into energy resources and non-energy resources under the DEA framework. Thus, within a joint production framework of considering both desirable and undesirable outputs, as well as energy and non-energy inputs, this study analysis China's regional total-factor energy and environment efficiency. This paper utilizes improved DEA models to measure the energy and environment efficiency of 29 administrative regions of China during the period of 2000 to 2008. In addition, the DEA window analysis technique is applied to measure the efficiency in cross-sectional and time-varying data. The empirical results show that east area of China has the highest energy and environmental efficiency, while the efficiency of west area is worst. All three areas of China have similar trend on the variation of efficiency and in general the energy and environment efficiency of China slightly increased from 2000 to 2008. The regions of east area have a more balanced development than the regions of central area and west area according to energy and environment efficiency.

[1]  Jin-Li Hu,et al.  Total-factor water efficiency of regions in China , 2006 .

[2]  Yi-Ming Wei,et al.  Journal homepage: www.IJEE.IEEFoundation.org China's regional carbon emissions change over 1997-2007 , 2022 .

[3]  Jun Bi,et al.  Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs , 2010 .

[4]  B. W. Ang,et al.  Measuring environmental performance under different environmental DEA technologies , 2008 .

[5]  Lawrence M. Seiford,et al.  Continuous Optimization Modeling undesirable factors in efficiency evaluation , 2002 .

[6]  C. A. Knox Lovell,et al.  Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA , 2000, Eur. J. Oper. Res..

[7]  Yi-Ming Wei,et al.  China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis , 2013 .

[8]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[9]  Zhaohua Wang,et al.  An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China , 2012 .

[10]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[11]  Abraham Charnes,et al.  Preface to topics in data envelopment analysis , 1984, Ann. Oper. Res..

[12]  Zhao Xiaoli,et al.  China's total factor energy efficiency of provincial industrial sectors , 2014 .

[13]  Jin-Li Hu,et al.  Total-factor energy efficiency of regions in China , 2006 .

[14]  George Halkos,et al.  Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis , 2009 .

[15]  Russell Pittman,et al.  Multilateral Productivity Comparisons with Undesirable Outputs , 1983 .

[16]  Yi-Ming Wei,et al.  What induced China's energy intensity to fluctuate: 1997–2006? , 2007 .

[17]  Ke Wang,et al.  A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs? , 2012 .

[18]  Neng Shen,et al.  Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach , 2014 .

[19]  B. W. Ang,et al.  Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index , 2006 .

[20]  C.A.K. Lovell,et al.  Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach , 1989 .

[21]  Qunwei Wang,et al.  Efficiency measurement with carbon dioxide emissions: The case of China , 2012 .

[22]  B. W. Ang,et al.  Linear programming models for measuring economy-wide energy efficiency performance , 2008 .

[23]  Tser-yieth Chen,et al.  A comparative study of energy utilization efficiency between Taiwan and China , 2010 .

[24]  Spyros Niavis,et al.  A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries , 2014 .

[25]  Ye Zong-yu,et al.  Re-estimating the Capital Stock of China:1952～2008 , 2010 .

[26]  Peng Zhou,et al.  A non-radial DEA approach to measuring environmental performance , 2007, Eur. J. Oper. Res..

[27]  N. Zhou,et al.  Overview of current energy-efficiency policies in China , 2010 .

[28]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[29]  Jiahai Yuan,et al.  Total-factor energy efficiency in developing countries , 2011 .

[30]  Feng Yang,et al.  Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon’s entropy , 2010 .