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Multi-criteria analysis of policies for implementing clean energy vehicles in China

机译：中国实施清洁能源汽车政策的多标准分析

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摘要

To resolve socioeconomic and environmental issues caused by vehicular emissions, the Chinese government has developed a series of policies for promoting clean energy vehicles (CEVs), which can be powered by electricity, gas, ethanol or methanol. Effective implementation of these policies requires a comprehensive evaluation of CEVs. Decision-makers need to take into account multiple criteria such as energy performance, energy cost, vehicular emission, market acceptance and energy security. This paper proposes a decision support model, which applies multi-criteria analysis to prioritize CEVs existing and to be launched on the Chinese market. Government officials, academic researchers and industrial executives are interviewed to select and rank criteria for optimizing decision-making using the Analytic Hierarchy Process and the VIKOR optimization techniques. Thirty-five experts have been interviewed for prioritizing four categories of CEVs including electric, gas, methanol and ethanol vehicles from both the national and provincial perspectives. Results demonstrate that electric vehicles represent the highest ranking, followed by gas, methanol and ethanol vehicles. The proposed model has been validated using statistical data and existing government policies. The proposed multi-criteria analysis can be used for advising decision-makers in the area of clean energy vehicles.
机译：为了解决由车辆排放引起的社会经济和环境问题，中国政府制定了一系列政策来促进清洁能源汽车的发展，这些清洁能源汽车可以用电，气，乙醇或甲醇驱动。有效执行这些政策需要对CEV进行全面评估。决策者需要考虑多个标准，例如能源绩效，能源成本，车辆排放，市场接受度和能源安全。本文提出了一种决策支持模型，该模型运用多准则分析对现有的和即将在中国市场推出的CEV进行优先排序。采访了政府官员，学术研究人员和行业主管，以选择和排序使用层次分析法和VIKOR优化技术优化决策的标准。采访了35位专家，他们从国家和省的角度对CEV的四类优先级进行了排序，包括电动，天然气，甲醇和乙醇汽车。结果表明，电动汽车排名最高，其次是汽油，甲醇和乙醇汽车。所提出的模型已使用统计数据和现有政府政策进行了验证。所提出的多标准分析可用于为清洁能源汽车领域的决策者提供建议。

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