Regional energy efficiency evaluation in China : A super efficiency slack-based measure model with undesirable outputs

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

5 Scopus Citations
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Author(s)

  • Ting Yang
  • Wen Chen
  • Kaile Zhou
  • Minglun Ren

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)859-866
Journal / PublicationJournal of Cleaner Production
Volume198
Early online date11 Jul 2018
StatePublished - 10 Oct 2018

Abstract

With the rapid development of global economy, the demand for energy has increased significantly. Therefore, energy efficiency improvement is essential for global energy and economic transformation. In the Chinese context, study on the energy efficiency of various provinces can contribute to better understand China's energy utilization status and provide policy implications for improving China's energy utilization efficiency. In this study, based on the super efficiency slack-based measure model with undesirable outputs, the energy efficiency of China's 30 provinces in 2013 and 2014 was investigated. Then, the energy efficiency of the eastern, central and western China was compared and further discussed. Finally, according to the results, the relevant policy implications were put forward. The results showed that China's overall energy efficiency had decreased while taking the undesirable outputs into consideration. In addition, eastern China had the highest energy efficiency and the energy efficiency of western China was relatively low. The energy efficiency gap among China's provinces was still large. Therefore, it was necessary to improve China's overall energy efficiency by developing targeted policies considering regional conditions.

Research Area(s)

  • Energy efficiency, Slack-based measure model, Super efficiency model, Undesirable outputs

Citation Format(s)

Regional energy efficiency evaluation in China : A super efficiency slack-based measure model with undesirable outputs. / Yang, Ting; Chen, Wen; Zhou, Kaile; Ren, Minglun.

In: Journal of Cleaner Production, Vol. 198, 10.10.2018, p. 859-866.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review