An empirical study on electric vehicle adoption in India: A step towards a greener environment

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy Pub Date : 2024-07-23 DOI:10.1016/j.tranpol.2024.07.018

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Abstract

The Indian automobile industry is witnessing a paradigm shift from fossil fuel to green energy. The current study employs an extended version of the theory of planned behaviour (TPB) to investigate the impact of attitudes, green nudges and perceived behavioural control on the behavioural intention (BI) for adoption of electric vehicles (EVs) by Indian consumers. Environmental concern is also added to the model to find its impact on actual buying behaviour (AB). Conclusive research is carried out, and data is collected through a structured questionnaire. 342 respondents were analysed using a two-step investigation approach: Partial least square-structural equation modelling (PLS-SEM), followed by an artificial neural network (ANN). Subsequently, two models are formed to determine the predictors of BI and AB. The findings suggest that all three factors positively impact BI and AB. Attitude plays the most significant role in BI (the most important predictor of AB). The study's findings also suggest that the extended TPB model is effective for forecasting customers' adoption intentions towards EVs. Moreover, this research adds to the existing literature on the intention and reluctance of consumers to embrace green technology. The results of this study will have significant implications not only for a greater understanding of customer behaviour regarding the adoption of EVs, but also for exploring their market expansion, product offerings, consumer BI and framing policies.

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关于印度电动汽车采用情况的实证研究：迈向绿色环境的一步

印度汽车行业正在经历从化石燃料向绿色能源的模式转变。本研究采用了扩展版的计划行为理论（TPB），以调查印度消费者采用电动汽车（EV）的态度、绿色暗示和感知行为控制对行为意向（BI）的影响。该模型还加入了对环境的关注，以发现其对实际购买行为（AB）的影响。通过结构化问卷收集数据，进行了结论性研究。采用两步调查法对 342 名受访者进行了分析：部分最小平方结构方程建模 (PLS-SEM)，然后是人工神经网络 (ANN)。随后，建立了两个模型来确定 BI 和 AB 的预测因素。研究结果表明，所有三个因素都对 BI 和 AB 有积极影响。态度对 BI 的影响最大（是 AB 的最重要预测因素）。研究结果还表明，扩展的 TPB 模型可有效预测客户对电动汽车的采用意向。此外，本研究还补充了现有文献中关于消费者接受绿色技术的意向和不情愿的内容。本研究的结果不仅对更好地理解消费者采用电动汽车的行为具有重要意义，而且对探索电动汽车的市场拓展、产品供应、消费者 BI 和框架政策也具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transport Policy Multiple-

CiteScore

12.10

自引率

10.30%

发文量

282

期刊介绍： Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.