Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public-private partnership cooperation

被引:44
|
作者
Huang, Xingjun [1 ]
Lin, Yun [2 ]
Lim, Ming K. [1 ,3 ]
Zhou, Fuli [4 ]
Ding, Rui [5 ]
Zhang, Zusheng [1 ]
机构
[1] Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing, Peoples R China
[2] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing, Peoples R China
[3] Coventry Univ, Ctr Business Soc, Coventry, W Midlands, England
[4] Zhengzhou Univ Light Ind, Sch Econ & Management, Zhengzhou, Peoples R China
[5] Wuhan Univ, Econ & Management Sch, Wuhan 430072, Peoples R China
基金
中国国家社会科学基金;
关键词
Charging infrastructure; Real estate; Public-private partnership cooperation; Evolutionary dynamics; Incentive mechanisms; China; ADOPTION; PROJECTS; CHINA; POLICY; RISK; PPP; SELECTION; INDUSTRY; USAGE;
D O I
10.1016/j.energy.2021.122281
中图分类号
O414.1 [热力学];
学科分类号
摘要
Low profit margins have become a significant barrier to investment in and the operation of electric vehicle-charging infrastructure, leading to an urgent need for new business models. Notwithstanding, nonmandatory policies and unclear responsibilities create a social dilemma in which it is difficult to promote charging facilities in urban residential areas. This study examines the feasibility of overcoming this dilemma by examining possible incentive mechanisms involving government, charging infrastructure operators, real estate agencies, and electric vehicle users. Leveraging evolutionary game theory, this study designs a theoretical model based on strategic interactions among different agents in promoting charging facilities in urban residential areas. Our results indicate that (1) the optimal scenario in one in which all participants work closely together to popularize charging facilities, and this scenario has theoretical possibilities in the real world; (2) government subsidies are necessary but not sufficient for promoting charging facilities in urban residential areas; (3) electric vehicle user participation in promotion is critical; and (4) the operation model in this study is more economically efficient than prevalent industrial operation models, and the role of real estate agencies cannot be ignored. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
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