Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey

Fanyi Meng, Bin Su, Elspeth Thomson, Dequn Zhou and P. Zhou
Authors registered in the RePEc Author Service: Peng Zhou

Applied Energy, 2016, vol. 183, issue C, 21 pages

Abstract: The use of data envelopment analysis (DEA) in China’s regional energy efficiency and carbon emission efficiency (EE&CE) assessment has received increasing attention in recent years. This paper conducted a comprehensive survey of empirical studies published in 2006–2015 on China’s regional EE&CE assessment using DEA-type models. The main features used in previous studies were identified, and then the methodological framework for deriving the EE&CE indicators as well as six widely used DEA models were introduced. These DEA models were compared and applied to measure China’s regional EE&CE in 30 provinces/regions between 1995 and 2012. The empirical study indicates that China’s regional EE&CE remained stable in the 9th Five Year Plan (1996–2000), then decreased in the 10th Five Year Plan (2000–2005), and increased a bit in the 11th Five Year Plan (2006–2010). The east region of China had the highest EE&CE while the central area had the lowest. By way of conclusion, some useful points relating to model selection are summarized from both methodological and empirical aspects.

Keywords: Data envelopment analysis; Energy efficiency; Carbon emission efficiency; China (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (97)

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DOI: 10.1016/j.apenergy.2016.08.158

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