中国智能汽车产业竞争力动态演进规律研究

发布时间：2018-05-30 13:33

本文选题：智能汽车 + 产业竞争力　；参考：《工业工程与管理》2017年05期

【摘要】：为探索中国智能汽车产业竞争力形成机理动态演进规律,科学引导、合理调控智能汽车产业的快速健康发展,首先构建了中国智能汽车产业竞争力评价指标体系,然后采用PLS法(Partial Least Square)建立了智能汽车产业竞争力评价模型,最后,借助相关资料和调研对2012~2015年间中国智能汽车产业各竞争要素重要程度的变化趋势进行了分析。研究发现,专业水平低、成本控制能力较弱、产业布局不够完善、基础配套设施落后等是中国智能汽车产业竞争力不强的主要原因,进而提出了提升中国智能汽车产业竞争力应加速技术进步和产品迭代、增强智能成本控制能力、完善产业布局和智库建设、推动兼管立法和车联网的发展、进行大规模基础设施建设等建议。
[Abstract]:In order to explore the dynamic evolution law of the competitive power of China's intelligent automobile industry, scientifically guide and regulate the rapid and healthy development of the intelligent automobile industry, the evaluation index system of the competitiveness of China's intelligent automobile industry is first constructed. Then, a competitive evaluation model of intelligent automobile industry is established by using PLS partial Least square.Finally, the trend of the importance of competitive factors in China's intelligent automobile industry during the period of 2012 to 2015 is analyzed with the help of relevant data and research. It is found that low professional level, weak cost control ability, imperfect industrial layout and backward basic facilities are the main reasons for the weak competitiveness of China's intelligent automobile industry. Furthermore, it is pointed out that in order to enhance the competitiveness of China's intelligent automobile industry, we should speed up technological progress and product iteration, enhance the ability of intelligent cost control, improve the industrial layout and the construction of think tanks, and promote the development of both legislation and networking. Carry out large-scale infrastructure construction and other proposals.
【作者单位】：上海大学管理学院;同济大学经济与管理学院;
【基金】：中国博士后科学基金资助面上项目(2016M601565) 上海市软科学研究计划项目(16692180802) 上海市软件科学研究计划项目(17692103800)
【分类号】：F426.471

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