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

被引：272
作者：
Meng, Fanyi [1 ,2 ]
Su, Bin [3 ]
Thomson, Elspeth [3 ]
Zhou, Dequn [1 ,2 ]
Zhou, P. [1 ,2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210008, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, Nanjing, Jiangsu, Peoples R China
[3] Natl Univ Singapore, Energy Studies Inst, Singapore, Singapore
来源：
APPLIED ENERGY | 2016年 / 183卷
基金：
中国国家自然科学基金;
关键词：
Data envelopment analysis; Energy efficiency; Carbon emission efficiency; China; DATA ENVELOPMENT ANALYSIS; SLACKS-BASED MEASURE; RANGE-ADJUSTED MEASURE; ENVIRONMENTAL PERFORMANCE; CO2; EMISSIONS; EMPIRICAL-ANALYSIS; DIOXIDE EMISSIONS; PRODUCTIVITY; SECTOR; CONVERGENCE;
D O I：
10.1016/j.apenergy.2016.08.158
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
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页码：1 / 21
页数：21
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