在消费者集群中进行有针对性的信息干预,促进电动汽车的普及--印度旁遮普邦的案例研究

IF 2.4 Q3 TRANSPORTATION
Hafsoah Ahmad, T.M. Rahul
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引用次数: 0

摘要

印度现有电动汽车采用政策的成功率较低,这凸显了制定有针对性的政策来促进电动汽车采用的必要性。本研究采用单臂信息干预方法,分析在发展中国家的消费者集群中提供信息对电动汽车(EV)采用的影响。利用高斯混合模型聚类,根据三个心理潜变量将样本分为四个部分。具有较高环保价值观的群组在干预前具有较高的积极购买意向,这表明旨在向具有环保意识的消费者推广电动汽车的政策具有较高的成功几率。干预措施在每个群组中都显示出明显的理想变化。结果表明,在生态友好度较低的消费者群组中,此类活动会取得更大的成功。针对每个群组提出了适当的措施。干预前购买意向较高的消费者群组的特征可作为企业和政府制定新的或更新现有电动汽车政策的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Targeted information intervention among consumer clusters for electric vehicle penetration – A case study of Punjab, India

Low success rates of existing EV adoption policies in India highlight the need for targeted policies to boost EV adoption. The current study employs a single-arm information intervention to analyse the impact of information provision on electric vehicle (EV) adoption among consumer clusters in a developing country context. Using Gaussian Mixed Modelling clustering, the sample was grouped into four segments based on three psychological latent variables. Clusters with greater pro-environmental values had higher pre-intervention positive purchase intention, signifying that policies aimed at promoting EVs among environmentally conscious consumers have higher chances of success. The intervention showed significant desirable changes in every cluster. Results indicate that such campaigns would achieve higher success in consumer clusters with low eco-friendliness. Appropriate measures for each cluster are suggested. The characteristics of consumer clusters with higher pre-intervention purchase intention could serve as guidelines for businesses and governments while formulating new and updating their existing EV policies.

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CiteScore
5.00
自引率
12.00%
发文量
222
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