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Sustainability 2017, 9(4), 620;

Sustainability Assessment of Refining Enterprises Using a DEA-Based Model

School of Business Administration, China University of Petroleum (Beijing), Beijing 102249, China
Energy Systems Research Center, The University of Texas at Arlington, Arlington, TX 76019, USA
Department of Agricultural, Food and Resource Economics, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
China National Nuclear Corporation, 1 Nansanxiang, Sanlihe, Xicheng District, P.O.Box 2101-2, Beijing 100822, China
CNPC Economics and Technology Research Institute, Beijing 100724, China
Author to whom correspondence should be addressed.
Academic Editor: Tomonobu Senjyu
Received: 26 February 2017 / Revised: 25 March 2017 / Accepted: 13 April 2017 / Published: 16 April 2017
(This article belongs to the Section Energy Sustainability)
Full-Text   |   PDF [637 KB, uploaded 16 April 2017]   |  


As one of the basic industries supporting the national economy development and energy demand, the refining industry is expected to provide combustion energy, reduce pollution emission, and improve utilization efficiency. With more stringent requirement for environmental protection, refining enterprises have to insist on the sustainable development to achieve industrial optimization. Evaluation of the sustainability of enterprises can help them understand their situation more objectively and guide them to establish modes for sustainable development. In this study, the evaluation system is firstly built from perspectives of economic, ecological, and social sustainability, including six second-grade indexes and seventeen third-grade indexes, which can accurately reflect the entire sustainability contents of refining enterprises. Then, a DEA-based model is constructed, which selects seven input indexes (e.g., the asset–liability ratio and comprehensive energy consumption per unit of output) and nine output indexes (e.g., return on assets, asset turnover, and science and technology investment strength). The DEA-based model can not only objectively evaluate the sustainability level, but also find out the restriction factors for further optimization. Third, to demonstrate the validity of the model, 15 enterprises are selected for case studies, among which only four are identified as having strong sustainability. For the other 11 enterprises, projection analyses are implemented, and the DMU values of three enterprises characterized by low efficiency are adjusted to find out the restriction factors, which reflect the model’s efficiency and its potentially wide application in the future. Finally, specific suggestions are proposed for the enhancement of sustainability of refining enterprises. View Full-Text
Keywords: refining enterprise; sustainability assessment; data envelopment analysis; policy recommendations refining enterprise; sustainability assessment; data envelopment analysis; policy recommendations

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Li, H.; Dong, K.; Sun, R.; Yu, J.; Xu, J. Sustainability Assessment of Refining Enterprises Using a DEA-Based Model. Sustainability 2017, 9, 620.

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