Measuring and Modelling Electric Vehicle Adoption of Indian Consumers

被引:0
|
作者
Furqan A. Bhat
Meghna Verma
Ashish Verma
机构
[1] Indian Institute of Science,Department of Civil Engineering
[2] Ramaiah Institute of Management,undefined
关键词
Electric vehicles (EV); Confirmatory factor analysis (CFA); Structural equation model (SEM); Latent variables; Adoption intention; Perception; Environmental enthusiasm; Technology enthusiasm;
D O I
暂无
中图分类号
学科分类号
摘要
Advancements in energy-efficient sustainable mobility technologies like electric vehicles are considered as one of the essential responses to minimizing the greenhouse gas emissions from the transportation sector. In spite of financial and non-financial incentives being provided to both consumers and manufacturers in India, the acceptance and adoption of electric vehicles remains very low. Based on the extended unified theory of acceptance and use of technology (UTAUT) model, this study uses structural equation modelling to analyze the effects of eight factors viz. environmental enthusiasm, technological enthusiasm, anxiety (or perceived risk), social image, social influence, perceived benefits, performance expectancy and facilitating conditions on the consumers’ intention to adopt electric vehicles. The study is analytically examined based on the data obtained from 675 students in Bengaluru, India. Results indicate that environmental enthusiasm, technological enthusiasm, social image, social influence, perceived benefits, and performance expectancy are positively related to adoption intention whereas facilitating conditions and anxiety have negative influence on a consumer’s intention to adopt an electric vehicle. This study adds to the limited literature on this subject in the context of developing economies. In practice, the results from this study can be useful to planners and policy makers to improve the adoption rate of electric vehicles.
引用
收藏
相关论文
共 50 条
  • [41] Electric vehicle adoption decisions in a fleet environment
    Kuppusamy, Saravanan
    Magazine, Michael J.
    Rao, Uday
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 262 (01) : 123 - 135
  • [42] Which variables influence electric vehicle adoption?
    Naseri, Hamed
    Waygood, E. O. D.
    Patterson, Zachary
    Wang, Bobin
    TRANSPORTATION, 2024,
  • [43] Inhibitors of Battery Electric Vehicle Adoption in Morocco
    Nasreddin, Dalal
    El Hafdaoui, Hamza
    Jelti, Faissal
    Boumelha, Aya
    Khallaayoun, Ahmed
    WORLD ELECTRIC VEHICLE JOURNAL, 2024, 15 (01):
  • [44] Subsidy implementation patterns and electric vehicle adoption
    Hu, Xiaoming
    Zhang, Xiang
    Jiang, Mengfei
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 373
  • [45] Direct network effects in electric vehicle adoption
    Zhang, Xiang
    Hu, Xiaoming
    Qi, Liang
    Jin, Taosheng
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 209
  • [46] The effect of policy incentives on electric vehicle adoption
    Langbroek, Joram H. M.
    Franklin, Joel P.
    Susilo, Yusak O.
    ENERGY POLICY, 2016, 94 : 94 - 103
  • [47] Modelling the enablers for adoption of electric vehicles in India
    Anshu Gupta
    Ananya Garg
    International Journal of System Assurance Engineering and Management, 2024, 15 : 635 - 645
  • [48] Modelling the enablers for adoption of electric vehicles in India
    Gupta, Anshu
    Garg, Ananya
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2024, 15 (02) : 635 - 645
  • [49] Modelling the adoption of electronic vehicle diagnostic technology for vehicle repairs: A structural equation modelling approach
    Turkson, Richard Fiifi
    Atombo, Charles
    Akple, Maxwell Selase
    Tibu, Henry Mawusi
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 191
  • [50] Quantifying Consumers' Willingness to Pay for Electric Vehicle Charging
    Plenter, Florian
    von Hoffen, Moritz
    Chasin, Friedrich
    Benthaus, Stefan
    Matzner, Martin
    Paukstadt, Ute
    Becker, Joerg
    2018 20TH IEEE INTERNATIONAL CONFERENCE ON BUSINESS INFORMATICS (IEEE CBI 2018), VOL 1, 2018, : 196 - 203