Item Details
Skip Navigation Links
   ActiveUsers:1288Hits:19668395Skip Navigation Links
Show My Basket
Contact Us
IDSA Web Site
Ask Us
Today's News
HelpExpand Help
Advanced search

In Basket
  Journal Article   Journal Article
 

ID185689
Title ProperConsumers’ attitudes and their effects on electric vehicle sales and charging infrastructure construction
Other Title Informationan empirical study in China
LanguageENG
AuthorWang, Yuanyuan
Summary / Abstract (Note)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.
`In' analytical NoteEnergy Policy Vol. 165; Jun 2022: p.112983
Journal SourceEnergy Policy 2022-06 165
Key WordsCharging Infrastructure ;  New Energy Vehicles ;  Sentiment Analysis ;  Natural Language Processing Technology ;  Panel Vector Autoregression