Electric vehicles (EVs) are considered as a driving force behind the automotive industry’s transformation based on eco-friendliness and high energy efficiency. Unlike expectations, the diffusion of EVs is proceeding at a slow pace in Korea. This study therefore aims to identify the factors influencing the slow market diffusion of EVs from a socio-technical perspective, by comparing the perceptions of the experts and the individuals. We constructed 15 factors in the five dimensions including costs, automobile characteristics, charging conditions, policy instruments, and perceptions for the analytic hierarchy process analysis. Surveys were performed with 58 EV experts and 87 individuals with driver’s licenses in Korea. The results identified and prioritized charging concerns as the highest barrier in both groups, and burden of costs as another critical barrier in the individual group. All factors in charging concerns, burden of initial costs, insufficient performance, and insufficient financial incentives were identified as major influential factors in both groups. While, lack of non-financial supports (for experts), and burden of battery costs and lack of social empathy (for individuals) were ranked as other upper factors. Statistical analysis of the analysis of variance results revealed that the burden of costs was more of a hurdle to the individuals than to the experts. These results suggest implications for policy-making and practice in promoting a widespread EV market.

中文翻译：

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确定影响韩国电动汽车市场扩散缓慢的因素

电动汽车 (EV) 被认为是汽车行业基于环保和高能效转型的推动力。与预期不同的是，电动汽车的普及在韩国进展缓慢。因此，本研究旨在通过比较专家和个人的看法，从社会技术角度确定影响电动汽车市场缓慢扩散的因素。我们构建了成本、汽车特性、充电条件、政策工具和感知五个维度的15个因素，用于层次分析过程分析。对 58 名电动汽车专家和 87 名在韩国拥有驾驶执照的人进行了调查。结果确定并优先考虑充电问题是两组中的最高障碍，成本负担是个体群体中的另一个关键障碍。收费问题、初始成本负担、绩效不足和财务激励不足等所有因素都被确定为两组的主要影响因素。同时，缺乏非财务支持（对于专家）、电池成本负担和缺乏社会同理心（对于个人）被列为其他较高因素。方差分析结果的统计分析表明，成本负担对个人来说比对专家来说更像是一个障碍。这些结果对促进广泛的电动汽车市场的政策制定和实践具有重要意义。财务激励不足被认为是这两个群体的主要影响因素。同时，缺乏非财务支持（对于专家）、电池成本负担和缺乏社会同理心（对于个人）被列为其他较高因素。方差分析结果的统计分析表明，成本负担对个人来说比对专家来说更像是一个障碍。这些结果对促进广泛的电动汽车市场的政策制定和实践具有重要意义。财务激励不足被认为是这两个群体的主要影响因素。同时，缺乏非财务支持（对于专家）、电池成本负担和缺乏社会同理心（对于个人）被列为其他较高因素。方差分析结果的统计分析表明，成本负担对个人来说比对专家来说更像是一个障碍。这些结果对促进广泛的电动汽车市场的政策制定和实践具有重要意义。方差分析结果的统计分析表明，成本负担对个人来说比对专家来说更像是一个障碍。这些结果对促进广泛的电动汽车市场的政策制定和实践具有重要意义。方差分析结果的统计分析表明，成本负担对个人来说比对专家来说更像是一个障碍。这些结果对促进广泛的电动汽车市场的政策制定和实践具有重要意义。