Abstract
In recent years, various countries have put forward Banning Gasoline Vehicle Sales Policy (BGVSP), and the degree of public support for BGVSP is crucial to its design and implementation. Taking China as an example, this study built a policy support index using network crawler technology and natural language processing technology. Then, multi-spatial convergence cross-mapping technology was used to study the interaction between public support and air pollution, electric vehicle (EV) infrastructure, EV technology, and use cost. The results showed that air pollution has a significant impact on public support; public support has a significant impact on the construction of the EV infrastructure and the level of EV technological research, and the use cost of traditional gasoline vehicles has a significant impact on public support. This study investigated the correlations between public support and the factors influencing public support, and the results can be used as a reference for the design and implementation of BGVSP in newly industrialized countries.
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Funding
This work was supported by the National Natural Science Foundation of China (Grant No. 71974188), Major Program of National Philosophy and Social Science Foundation of China (Grant No. 21ZDA086), and Humanities and Social Sciences Special Research Fund of Ministry of Education in China (Research on Talents Training for Engineering Science and Technology, Grant No. 19JDGC011).
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Feng Dong conceived the idea of this paper. Kun Li, Yangfan Li, Yajie Liu, and Lu Zheng performed the model. Feng Dong and Kun Li wrote the paper.
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Dong, F., Li, K., Li, Y. et al. Factors influencing public support for banning gasoline vehicles in newly industrialized countries for the sake of environmental improvement: a case study of China. Environ Sci Pollut Res 29, 43942–43954 (2022). https://doi.org/10.1007/s11356-022-18884-x
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DOI: https://doi.org/10.1007/s11356-022-18884-x