The impact of industrial structure efficiency on provincial industrial energy efficiency in China

被引:138
|
作者
Xiong, Siqin [1 ]
Ma, Xiaoming [1 ]
Ji, Junping [1 ,2 ]
机构
[1] Peking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
[2] Lawrence Berkeley Natl Lab, Energy Anal & Environm Impacts Div, Berkeley, CA 94720 USA
关键词
Industrial structure efficiency; Provincial industrial energy efficiency; Influencing factors; SBM model; Tobit regression; SLACKS-BASED MEASURE; ENVIRONMENTAL EFFICIENCY; CO2; EMISSIONS; EMPIRICAL-ANALYSIS; CARBON EMISSIONS; SBM MODEL; PERFORMANCE; PRODUCTIVITY; CONSUMPTION; INTENSITY;
D O I
10.1016/j.jclepro.2019.01.095
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Regional disparity in terms of industrial energy efficiency is noticeable in China due to the unbalanced economic progress in past decades. Analyzing the provincial industrial energy efficiency and its influencing factors is of great significance to formulate differentiated policies. To date, the influence of many social-economic factors on the industrial energy efficiency have been examined but the impact of the inter-industry structure has almost been ignored. In this paper, the slacks-based measure model incorporating undesirable output is applied to evaluate the industrial energy efficiency both at the provincial level and the sectoral level in China for the period 2010 to 2016. Then, industrial structure efficiency is introduced, which reflects the inter-industry structure and takes the sectoral-level energy efficiency into consideration. And the impact of the industrial structure efficiency on provincial industrial energy efficiency is tested by Tobit regression model. The results show that huge discrepancies of provincial industrial energy efficiency exist and the industrial structure efficiency is confirmed to be a determinative factor to the provincial industrial energy efficiency, with the coefficient of 0.525. Policy recommendations are provided for adjusting the provincial inter-industry structure and improving the industrial energy efficiency. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:952 / 962
页数:11
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