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Analyzing the Effectiveness of Policy Instruments on New Energy Vehicle Industry using Consistent Fuzzy Preference Relations

机译:使用一致的模糊偏好关系分析新能源汽车行业政策工具的有效性

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New energy vehicles (NEVs) have important implications for traffic pollution management and energy consumption. A series of industrial incentive policies have been introduced to promote the development of the NEV industry. However, the actual effects of the policies do not come up to expectations. Aiming to analyze the relationship between the policy instruments and the market acceptance of NEVs, a consistent fuzzy preference relations model is proposed to evaluate the efficiency of policies on the NEV industry. The model introduces an assessment criteria system with three criterions (industry development, technology research and development (R&D), and NEV popularization). The quantitative weights of evaluation criteria are calculated by the fuzzy preference relation. The weights indicate the significance of the factors in the development of NEVs, especially when NEVs have not been widely accepted. With the proposed model, a case study in China shows that the policy of technology R&D is the most crucial for the NEV industry in China. The policy of NEV industry development, on the other hand, is equally important. The results are hoped to give a better understanding of the relationship between government policy instruments and NEV development, the measures for enhancing the policy efficiency of NEV development.
机译:新能源汽车(NEV)对交通污染管理和能源消耗具有重要意义。出台了一系列产业激励政策,以促进新能源汽车产业的发展。但是,这些政策的实际效果没有达到预期。为了分析政策工具与新能源汽车市场接受度之间的关系,提出了一个一致的模糊偏好关系模型,以评价新能源汽车行业政策的有效性。该模型引入了具有三个标准(工业发展,技术研发(R&D)和新能源汽车普及)的评估标准体系。通过模糊偏好关系来计算评估标准的定量权重。权重表明因素在新能源汽车发展中的重要性,特别是当新能源汽车尚未被广泛接受时。通过提出的模型,在中国进行的案例研究表明,技术研发政策对于中国的新能源汽车产业至关重要。另一方面,新能源汽车产业发展政策同样重要。希望结果能更好地理解政府政策工具与新能源汽车发展之间的关系,以及提高新能源汽车发展政策效率的措施。

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