Energy and environmental efficiency of China's transportation sectors under the constraints of energy consumption and environmental pollutions

被引:93
|
作者
Zhu, Qingyuan [1 ,2 ]
Li, Xingchen [3 ]
Li, Feng [4 ]
Wu, Jie [5 ]
Zhou, Dequn [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210000, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, 29 Jiangjun Ave, Nanjing 211106, Peoples R China
[3] Nanjing Audit Univ, Sch Accounting, Nanjing 211815, Jiangsu, Peoples R China
[4] Southwestern Univ Finance & Econ, Sch Business Adm, Chengdu 611130, Peoples R China
[5] Univ Sci & Technol China, Sch Management, Hefei 230026, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Transportation sector; Sustainability; Data envelopment analysis; Game theory; Energy and environmental efficiency; DATA ENVELOPMENT ANALYSIS; DEA-BASED APPROACH; FIXED-SUM OUTPUTS; CO2; EMISSIONS; RESOURCE-ALLOCATION; FRONTIER; MODELS; PERFORMANCE;
D O I
10.1016/j.eneco.2020.104817
中图分类号
F [经济];
学科分类号
02 ;
摘要
The rapid growth of the economy in China has caused many problems for the country, particularly the energy shortage and environmental pollution. Thus, establishing a sustainable development of society has attracted considerable attention in recent years. In this paper, we evaluate the sustainability efficiency in terms of energy usage and environmental impact by using a new equilibrium efficient frontier data envelopment analysis (EEFDEA) approach. For the first time, DEA is used in the context of required fixed reductions in both total energy consumption and total environmental pollution, which is a realistic context that introduces a "zero-sum" aspect to the problem. As part of the analysis, the generalized equilibrium efficient frontier (EEF) is constructed based on minimum satisfaction degree maximization of all units, considering both minimum and maximum adjustment strategy, while most existing studies only minimized the weighted sum reduction. Finally, the sustainability efficiency of transportation sectors of China's 30 main regions is analyzed by using our proposed model. The results show that more effective measures should be taken for sustainable development. (C) 2020 Elsevier B.V. All rights reserved.
引用
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页数:9
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