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作者:

Wang, Yuanyuan (Wang, Yuanyuan.) | Chi, Yuanying (Chi, Yuanying.) | Xu, Jin-Hua (Xu, Jin-Hua.) | Yuan, Yongke (Yuan, Yongke.)

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SSCI EI Scopus SCIE

摘要:

There are close links and interactions among consumers' attitudes, the construction of charging infrastructure, and the diffusion of new energy vehicles (NEVs). This study focuses on consumers' sentient attitudes toward charging infrastructure and the effect of consumer attitudes toward the construction of charging piles and NEV sales using natural language processing technology and the panel vector autoregressive method. Consumers' sentient attitudes (i.e., positive, negative, and neutral) were inferred by analyzing consumer comments on charging infrastructure obtained from the internet. The key reasons for consumers' negative attitudes were further investigated, and the diversity in their attitudes was explored at the city level. The results show a growing concern for consumers about charging infrastructure since 2013. The overall satisfaction of consumers has constantly improved. The top pain points that cause consumers' negative attitudes are inconvenient charging, charging dilemmas, inability to install private charging piles, etc. Consumers' negative attitudes have a significantly positive impact on the charging piles' construction. It also has a significantly negative impact on the sales of NEVs, but the effects are themselves short-term. Usually, the impact of negative attitudes is stronger than that of positive attitudes.

关键词:

Natural language processing technology Sentiment analysis New energy vehicles Charging infrastructure Panel vector autoregression

作者机构:

  • [ 1 ] [Wang, Yuanyuan]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Chi, Yuanying]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Yuan, Yongke]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Wang, Yuanyuan]Chinese Acad Sci, Ctr Energy & Environm Policy Res, Inst Sci, Beijing 100190, Peoples R China
  • [ 5 ] [Xu, Jin-Hua]Chinese Acad Sci, Ctr Energy & Environm Policy Res, Inst Sci, Beijing 100190, Peoples R China
  • [ 6 ] [Wang, Yuanyuan]Chinese Acad Sci, Ctr Energy & Environm Policy Res, Inst Dev, Beijing 100190, Peoples R China
  • [ 7 ] [Xu, Jin-Hua]Chinese Acad Sci, Ctr Energy & Environm Policy Res, Inst Dev, Beijing 100190, Peoples R China

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来源 :

ENERGY POLICY

ISSN: 0301-4215

年份: 2022

卷: 165

9 . 0

JCR@2022

9 . 0 0 0

JCR@2022

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:27

JCR分区:1

中科院分区:2

被引次数:

WoS核心集被引频次: 43

SCOPUS被引频次: 49

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

近30日浏览量: 8

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