Factor analysis on the industrial environmental efficiency and energy utilization efficiency of China by DEA method

被引:1
|
作者
Lei, Hong-jun [1 ]
Zhang, Qiao-li [1 ]
Li, Chang-jia [1 ]
Xi, Bei-dou
Xia, Xun-feng
机构
[1] North China Univ Water Conservancy & Elect Power, Taiyuan, Henan Province, Peoples R China
关键词
China's industrial pollutants; Data Envelopment Analysis (DEA) method; Energy utilization efficiency; Environmental efficiency; DATA ENVELOPMENT ANALYSIS; DECISION-MAKING UNITS; SYSTEM;
D O I
10.4028/www.scientific.net/AMM.209-211.1620
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Faced with two big stresses of energy shortage and environmental pollutants, China should improve its energy utilization efficiency. Based on the data of China Statistical Yearbook and China Environmental Statistics Yearbook, the pollutants discharge and energy utilization efficiency, including technical efficiency (TE), pure technical efficiency (PTE), scale efficiency (SE) and returns to scale (RTS) of China's industry and its sub-sectors were analyzed by constant returns to scale model (CRS) and variable returns to scale model (VRS) of non-parametric data envelopment analysis (DEA) method. Results showed that: (1) The RTS of China's total industrial environmental efficiency and energy utilization efficiency were all in "irs" state, indicating that it was beneficial to expand the entire industrial scale. (2) The TE of total industrial energy utilization efficiency was about 0.80, the minimum TE was 0.018 of production and distribution of gas sector. (3) The total industrial environmental efficiency was about 0.77, the two sectors with high pollutants discharges were mining of other ores and manufacture of paper and paper products, and TE were 0.065 and 0.067, respectively. Mostly industrial sub-sectors should improve their technologies and adjust its scales except for extraction of petroleum and natural gas, manufacture of tobacco, printing, reproduction of recording media and so on. (4) Mining of other ores, manufacture of tobacco, manufacture of communication equipment, computers and other electronic equipment, manufacture of measuring, instruments and machinery for cultural activity and office work and production and distribution of water were in high energy utilization efficiency while in low environmental efficiency and steady RTS. So these sectors should improve the technologies to achieve DEA effective. (5) Scale expanding, technology advancement, energy use pattern improvement and industry structure adjustment were suggested for energy-saving industry according to the TE, PTE, SE and RTS.
引用
下载
收藏
页码:1620 / 1626
页数:7
相关论文
共 50 条
  • [41] Environmental efficiency evaluation of Chinese industrial sector based on network DEA
    Zhao, Dongli
    Wang, Haiyan
    Shen, Liting
    ICIC Express Letters, Part B: Applications, 2015, 6 (02): : 511 - 516
  • [42] Industrial environmental efficiency assessment for China's western regions by using a SBM-based DEA
    Guo, Si-Dai
    Li, Hang
    Zhao, Rui
    Zhou, Xiao
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (26) : 27542 - 27550
  • [43] Industrial environmental efficiency assessment for China’s western regions by using a SBM-based DEA
    Si-Dai Guo
    Hang Li
    Rui Zhao
    Xiao Zhou
    Environmental Science and Pollution Research, 2019, 26 : 27542 - 27550
  • [44] The Analysis of the Operational Efficiency of China's Commercial Bank Using DEA Method
    Hui Xiaofeng
    Pang Shizang
    PROCEEDINGS OF THE 4TH (2012) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT, VOLS I AND II, 2012, : 551 - 556
  • [45] Environmental efficiency analysis of transportation system in China: A non-radial DEA approach
    Chang, Young-Tae
    Zhang, Ning
    Danao, Denise
    Zhang, Nan
    ENERGY POLICY, 2013, 58 : 277 - 283
  • [46] Analysis of the Operating Efficiency of China's Securities Companies based on DEA Method
    Huang, Wei
    Guan, Qiancheng
    Zhao, Hui
    PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ECONOMIC AND BUSINESS MANAGEMENT 2016, 2016, 16 : 161 - 166
  • [47] Environmental Efficiency Analysis of China Electric Power Industry Based on the DEA cross Model
    Liu, Jiajun
    Wang, Ying
    PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019), 2019, : 1771 - 1776
  • [48] Evaluation of China's electric energy efficiency under environmental constraints: A DEA cross efficiency model based on game relationship
    Chen, Wen
    Zhou, Kaile
    Yang, Shanlin
    JOURNAL OF CLEANER PRODUCTION, 2017, 164 : 38 - 44
  • [49] TFP Electricity Consumption Efficiency and Influencing Factor Analysis Based on DEA Method
    Shu, Tianjia
    Zhong, Xiaoqiang
    Zhang, Shuguang
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SMART GRID AND CLEAN ENERGY TECHNOLOGIES (ICSGCE 2011), 2011, 12
  • [50] The energy efficiency DEA method in value of economic continuity
    Wei, Xinqiang
    Zhang, Baosheng
    Tang, Xu
    INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES, 2013, 36 (2-4) : 169 - 180