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发表时间：2022-10-06

发表刊物：中国软科学

所属单位：经济管理学院

期号：4

页面范围：132-145

ISSN号：1002-9753

摘要：The scale of users and matched infrastructure constitute the network foundation of electric vehicles. Giving play to the network effect is very important for the electric vehicles market and the related industrial development. Based on the theoretical mechanism analysis of direct and indirect network effect influencing the consumers' electric vehicles purchasing preference,this paper chooses the discrete choice experiment method to research the main factors considered by consumers when buying electric vehicles. Through data collection and processing, this paper uses the mixed logit model to recognize the network effect of the electric vehicles industry. And according to the individual attributes, consumer habits,consumer awareness and the willingness of environmental protection, this paper divides the consumer sample into groups to investigate the heterogeneity of the network effect. The results show that the using proportion of surrounding relatives and friends and supporting infrastructure construction can enhance the consumers' willingness to buy electric cars, this is to say that the direct and indirect network effects are very significant. The purchasing preferences of different types of consumers are different,for consumers who have had a car and have higher household income, the role of the network effect is more apparent. And for the consumers who have more annual travel distance and monthly travel times, know more about the electric cars brand and preferential policies, and have stronger environmental protection willingness,the electric vehicles purchasing preferences are more easily affected by the network effect.

备注：新增回溯数据