• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province
【24h】

Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province

机译：基于中国江苏省熵权云模型的新能源汽车产业风险评估研究

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The development of the new energy vehicle industry is necessary for its advantages of saving energy and reducing greenhouse-gas emissions. However, the industry is currently facing risks with regard to, for example, technology, market, and the policy. Most existing studies of industry risk focused on analyzing and evaluating risk factors and summarizing and interpreting risk phenomena. In this study, systematic classification and quantitative analysis for the risk of the new energy vehicle industry were investigated, in which the entropy weight method and cloud model were combined to evaluate and quantify the industry risk. The formation mechanism of the industry risk from endogenous and exogenous perspectives was analyzed to screen out risk-evaluation factors. Combining the expert-investigation and fuzzy-statistics methods, a risk-evaluation index system with six primary indicators and twenty-four secondary indicators was constructed. On the basis of the entropy weight-cloud model, the risk of the new energy automobile industry of Jiangsu province in July 2019 was evaluated. Results indicated that the impact of exogenous risk on the industry was greater than that of endogenous risk, and industry risk was higher than medium risk, which was close to a higher medium level. A series of suggestions are given for preventing industry risk, such as improving the industry’s own ability to resist risk and building the industry’s soft environment.
机译：新能源汽车行业的发展是节省能源和减少温室气体排放的优势。但是，该行业目前面临着例如技术，市场和政策的风险。大多数现有的行业风险研究专注于分析和评估风险因素，总结和解释风险现象。在本研究中，研究了新能源车辆行业风险的系统分类和定量分析，其中组合熵权法和云模型来评估和量化行业风险。分析了内源性和外源性视角的行业风险的形成机制，以筛选风险评估因素。结合专家调查和模糊统计方法，建设了一种风险评价指标体系，具有六个主要指标和二十四个二次指标。在熵权云模型的基础上，评估了2019年7月江苏省新能源汽车产业的风险。结果表明，外源风险对行业的影响大于内源性风险，行业风险高于中等风险，接近较高的中等水平。为预防行业风险提供了一系列建议，例如提高行业自身的抵抗风险和建设行业软环境的能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号