Applying the three-stage SBM-DEA model to evaluate energy efficiency and impact factors in RCEP countries

被引:82
|
作者
Zhang, Caiqing [1 ]
Chen, Panyu [1 ]
机构
[1] North China Elect Power Univ, Dept Econ Management, Baoding 071000, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy efficiency; Three-stage SBM-DEA model; External environmental factors; RCEP; RENEWABLE ENERGY; FINANCIAL DEVELOPMENT; CHINA; CONSUMPTION; ENVIRONMENT; EMISSIONS; INTENSITY; INDUSTRY; IMPROVE; REGIONS;
D O I
10.1016/j.energy.2021.122917
中图分类号
O414.1 [热力学];
学科分类号
摘要
Improving regional energy efficiency is the key to solving global energy problems. Regional Compre-hensive Economic Partnership (RCEP), as the world's largest free trade zone, energy cooperation is an integral part of the agreement. This paper uses the three-stage SBM-DEA model to analyze the energy efficiency and influencing factors of 13 RCEP countries from 2000 to 2015. The results show that, first, the overall energy efficiency of RCEP is poor at 0.384, with China and Japan having relatively high energy efficiency and Brunei and Cambodia having the worst energy efficiency. The average energy efficiency of developed countries is greater than that of developing countries. Second, optimizing the industrial structure and energy consumption structure can improve energy efficiency. Merchandise trade and government efficiency also have a positive impact on energy efficiency. The development of the tourism industry has unexpectedly reduced energy efficiency. Third, external environmental factors affect energy efficiency differently in each country. Except for China, Japan, and Korea, external environmental factors can lead to overestimating energy efficiency in other countries in RCEP. Finally, some suggestions are put forward to improve the RCEP's energy efficiency. The research results are helpful to understand the changing trend and influencing factors of RCEP's energy efficiency and can provide a reference for in-ternational energy cooperation, which is of great practical significance. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] EFFICIENCY MEASURES OF THE INTERNET COMPANY IN CHINA USING A THREE-STAGE DEA MODEL
    Liu, Jian
    Li, Wei
    [J]. PAKISTAN JOURNAL OF STATISTICS, 2014, 30 (05): : 567 - 588
  • [42] Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China
    Feng Dong
    Ruyin Long
    Zhengfu Bian
    Xihui Xu
    Bolin Yu
    Ying Wang
    [J]. Natural Hazards, 2017, 87 : 1453 - 1468
  • [43] Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China
    Dong, Feng
    Long, Ruyin
    Bian, Zhengfu
    Xu, Xihui
    Yu, Bolin
    Wang, Ying
    [J]. NATURAL HAZARDS, 2017, 87 (03) : 1453 - 1468
  • [44] Research on total factor energy efficiency in western China based on the three-stage DEA-Tobit model
    Zhang, Lingshu
    Cui, Jina
    [J]. PLOS ONE, 2024, 19 (04):
  • [45] The Technological Innovation Efficiency of China's Renewable Energy Enterprises: An Estimation Based on a Three-Stage DEA Model
    Chen, Yuanyuan
    Song, JungHyun
    [J]. SUSTAINABILITY, 2023, 15 (08)
  • [46] Research on Efficiency of logistics industry in Guangdong province based on DEA three-stage model
    Zhong Zuchang
    [J]. 2011 INTERNATIONAL CONFERENCE ON APPLIED SOCIAL SCIENCE (ICASS 2011), VOL V, 2011, : 1 - 7
  • [47] The relative efficiency of Iranian’s rural traffic police: a three-stage DEA model
    Habibollah Rahimi
    Hamid Soori
    Seyed Saeed Hashemi Nazari
    Seyed Abbas Motevalian
    Adel Azar
    Eskandar Momeni
    Mehdi Javartani
    [J]. BMC Public Health, 17
  • [48] MEASURING THE GREEN EFFICIENCY OF OCEAN ECONOMY IN CHINA: AN IMPROVED THREE-STAGE DEA MODEL
    Ding, Lili
    Zheng, Haihong
    Kang, Wanglin
    [J]. ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2017, 20 (01): : 5 - 22
  • [49] Analysis of the Efficiency of Provincial Electricity Substitution in China Based on a Three-Stage DEA Model
    Niu, Dongxiao
    Gao, Tian
    Ji, Zhengsen
    Liu, Yujing
    Wu, Gengqi
    [J]. ENERGIES, 2021, 14 (20)
  • [50] The Eco-Efficiency Evaluation on Petrochemical Industry Based on Three-Stage DEA Model
    Yao, Feng-ge
    Zhang, Ping
    [J]. ADVANCED RESEARCH ON INFORMATION SCIENCE, AUTOMATION AND MATERIAL SYSTEM, PTS 1-6, 2011, 219-220 : 1459 - 1462