太阳成8722(中国)有限公司-GREEN NO.1

标题：Sectoral energy-environmental efficiency and its influencing factors in China: Based on S-U-SBM model and panel regression model

作者： Xiao, CM (Xiao, Chengming); Wang, Z (Wang, Zhen); Shi, WF (Shi, Weifang); Deng, LC (Deng, Liangchun); Wei, LY (Wei, Liyuan); Wang, YW (Wang, Yanwen); Peng, S (Peng, Sha)

来源出版物： JOURNAL OF CLEANER PRODUCTION卷：182页码: 545-552 DOI： 10.1016/j.jclepro.2018.02.033 出版年： MAY 1 2018

摘要：Energy use is often accompanied with air emissions including SOx, NOx, CO2, etc. It is essential to consider both the energy and environmental performance of various sectors to ensure better policy making. This study considered air pollution by calculating energy-environmental efficiency (EEE) at the sectoral level. A few studies have previously applied the slack-based measure (SBM) model to multi sector EEE assessments. Despite the advantages of SBM model, potential improvements have rarely been proposed. Therefore, a super-efficiency SBM model with undesirable outputs (S-U-SBM) was used to evaluate the EEE of 31 sectors in China. The policy implications of improving EEE, in microcosmic (potential improvement) and macroscopic (influencing factors) terms, were considered. The results indicated that for all sectors there was an overall trend of increasing EEE from 1995 to 2009, except for Rent and Other Business Activities, and Health and Social Work. The average annual potential for energy saving and emission-reducing measures in all sectors was 1.396 x 10(17) J and 7.0780 x 10(7) tons, respectively. Chemicals and Chemical Materials had the highest potential to save energy and reduce emissions. A panel regression indicated that the relationship between EEE and gross output was U-shaped for all industry, but had an inverted-U shape for heavy industry. Sectoral size, technology, and the proportion of energy demand satisfied by coal significantly influenced EEE.

入藏号：WOS:000428826300050

文献类型：Article

语种：English

作者关键词：Energy-environmental efficiency; Undesirable outputs; Super-SBM model; Panel regression

扩展关键词： DATA ENVELOPMENT ANALYSIS; SLACKS-BASED MEASURE; UNDESIRABLE OUTPUTS; INDUSTRIAL SECTORS; SUPER-SBM; EMISSIONS; PRODUCTIVITY; ECONOMIES; UNITS

通讯作者地址：Wang, Z (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址：sinoo@whu.edu.cn地址：

[Xiao, Chengming; Wang, Zhen; Wei, Liyuan; Wang, Yanwen; Peng, Sha] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Shi, Weifang] Huazhong Agr Univ, Coll Resource & Environm, Wuhan 430070, Hubei, Peoples R China.

[Deng, Liangchun] Ctr Environm Progress, Wuhan 430079, Hubei, Peoples R China.

影响因子：5.715