Temporal and Spatial Analysis of Integrated Energy and Environment Efficiency in China Based on a Green GDP Index

China is experiencing a high speed economic development which may exert great pressure on the environment and energy systems. To measure the environmental and energy performance during the economic development process, this paper selected 30 provinces, cities or autonomous regions as the decision making unit (DMU), and proposed a Green GDP index (GGI) in view of energy intensity and pollution intensity using the generalized Data Envelopment Analysis (DEA) method, and the developing trends of integrated energy and environment efficiency of DMUs from 2006 to 2010 are also demonstrated by the Malmquist index. Results show that the integrated energy and environment efficiency varies for each DMU. GGI were both 1 in Beijing and Shanghai. GGI values for the developed cities in Eastern China, such as Guangdong, Fujian, Zhejiang, Tianjin, Jiangsu, and Hainan, ranked high, while those in the Northeast and Middle China remained relatively low. Moreover, there is a positive relationship between the GGI and per capita GDP with a correlation coefficient of 0.75. Increases in GGI are also observed in the results, representing great achievements are acquired in energy conservation and emission reduction. However, the GGIs do not converge to the green frontier across the provinces.

[1]  Bin Chen,et al.  Ecological footprint accounting based on emergy—A case study of the Chinese society , 2006 .

[2]  Bin Chen,et al.  Resource analysis of the Chinese society 1980–2002 based on energy—Part 5: Resource structure and intensity , 2007 .

[3]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[4]  Bin Chen,et al.  Resource analysis of the Chinese society 1980–2002 based on exergy—Part 2: Renewable energy sources and forest , 2007 .

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

[6]  Bin Chen,et al.  Ecological footprint accounting for energy and resource in China , 2007 .

[7]  Ramakrishnan Ramanathan,et al.  A holistic approach to compare energy efficiencies of different transport modes , 2000 .

[8]  Peng Zhou,et al.  A survey of data envelopment analysis in energy and environmental studies , 2008, Eur. J. Oper. Res..

[9]  Daniel Tyteca,et al.  Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results , 1997 .

[10]  Tim Coelli,et al.  A multi-stage methodology for the solution of orientated DEA models , 1998, Oper. Res. Lett..

[11]  Lixiao Zhang,et al.  Comparison of typical mega cities in China using emergy synthesis , 2009 .

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

[13]  J. Bi,et al.  Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach , 2008 .

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

[15]  Jesús T. Pastor,et al.  Linear programming approaches to the measurement and analysis of productive efficiency , 1994 .

[16]  Toshiyuki Sueyoshi,et al.  Performance analysis of US coal-fired power plants by measuring three DEA efficiencies , 2010 .

[17]  B. W. Ang,et al.  Total factor carbon emission performance: A Malmquist index analysis , 2010 .

[18]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[19]  Lei Zhu,et al.  Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA , 2011 .

[20]  H. Burley,et al.  Productive Efficiency in U.S. Manufacturing: A Linear Programming Approach , 1980 .

[21]  Bin Chen,et al.  Ecological input-output modeling for embodied resources and emissions in Chinese economy 2005 , 2010 .

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

[23]  S. Rafiee,et al.  Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach , 2011 .

[24]  Bin Chen,et al.  Modified ecological footprint accounting and analysis based on embodied exergy—a case study of the Chinese society 1981–2001 , 2007 .