Review of the network environmental efficiencies of listed petroleum enterprises in China

In this study, we create a set of network DEA models that can be used to divide efficiency scores into two subunits, thus providing more accurate results. This approach can help open the “black box” of efficiency measurement and help determine the advantages and disadvantages of various subunits in each decision-making unit. This study uses the newly presented models to examine changes in production and environmental efficiency among 20 listed petroleum enterprises in China. These examinations are conducted on a stage by stage basis using the enterprises’ detailed production chains from the 2006–2011 period. Additionally, this study analyzes the input surpluses and output deficits from 2011. The results of using this approach (which looks to improve the input–output efficiency of enterprises) can be considered helpful in improving petroleum enterprises’ technology and management efficiency.

[1]  Jan Jaap Bouma,et al.  Environmental management accounting in Europe: current practice and future potential , 2000 .

[2]  Noan Walley,et al.  It's not easy being green , 1994 .

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

[4]  Yan Luo,et al.  Environmental performance analysis of Chinese industry from a slacks-based perspective , 2015, Ann. Oper. Res..

[5]  Cathy Macharis,et al.  A decision analysis framework for intermodal transport: Comparing fuel price increases and the internalisation of external costs , 2010 .

[6]  Kaoru Tone,et al.  Network DEA: A slacks-based measure approach , 2009, Eur. J. Oper. Res..

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

[8]  Elizabeth R. Smith,et al.  A directional distance function approach to regional environmental–economic assessments , 2010 .

[9]  Timo Kuosmanen,et al.  Measuring Eco‐efficiency of Production with Data Envelopment Analysis , 2005 .

[10]  L. Lohmann.  Toward a different debate in environmental accounting: The cases of carbon and cost–benefit , 2009 .

[11]  Giorgia Oggioni,et al.  Eco-efficiency of the world cement industry: A data envelopment analysis , 2011 .

[12]  John Mylonakis,et al.  The use of accounting information systems in the evaluation of environmental costs: a cost–benefit analysis model proposal , 2006 .

[13]  Milan Ščasný,et al.  Internalization of External Costs of Energy Generation in Central and Eastern European Countries , 2012 .

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

[15]  Ning Zhang,et al.  A note on the evolution of directional distance function and its development in energy and environmental studies 1997–2013 , 2014 .

[16]  Bo Wang,et al.  Environmental efficiency evaluation of industry in China based on a new fixed sum undesirable output data envelopment analysis , 2014 .

[17]  Kaoru Tone,et al.  A slacks-based measure of super-efficiency in data envelopment analysis , 2001, Eur. J. Oper. Res..

[18]  Hui Wang,et al.  Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach , 2012, Eur. J. Oper. Res..

[19]  Jie Wu,et al.  Environmental efficiency evaluation based on data envelopment analysis: A review , 2012 .

[20]  Lawrence M. Seiford,et al.  Data envelopment analysis (DEA) - Thirty years on , 2009, Eur. J. Oper. Res..

[21]  Giorgia Oggioni,et al.  Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function , 2012 .

[22]  Harald Dyckhoff,et al.  Measuring ecological efficiency with data envelopment analysis (DEA) , 2001, Eur. J. Oper. Res..

[23]  Yeonbae Kim,et al.  International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition , 2012 .

[24]  Chien-Ming Chen,et al.  A critique of non-parametric efficiency analysis in energy economics studies , 2013 .

[25]  F. Hernández-Sancho,et al.  Directional distance functions and environmental regulation , 2005 .

[26]  B. W. Ang,et al.  Decomposition of aggregate CO2 emissions: A production-theoretical approach , 2008 .

[27]  Ronald W. Jones,et al.  A Framework For Fragmentation , 2000 .

[28]  Rolf Färe,et al.  Productivity and Undesirable Outputs: A Directional Distance Function Approach , 1995 .

[29]  R. Repetto,et al.  Wasting Assets: Natural Resources in the National Income Accounts , 1989 .

[30]  Jeong-Dong Lee,et al.  Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account: a nonparametric directional distance function approach. , 2002, Journal of environmental management.

[31]  Lianyong Feng,et al.  Economic impacts and challenges of Chinas petroleum industry: An inputoutput analysis , 2011 .

[32]  Léopold Simar,et al.  A Computationally Efficient, Consistent Bootstrap for Inference with Non-parametric DEA Estimators , 2011 .