Abstract
It is of great significance to study the spatial network of the new energy vehicle (NEV) industry innovation efficiency and its factors to promote the rational allocation of innovative resources and the coordinated development of Chinese NEV industry. First, the Super Efficiency Data Envelope Analysis model is used to measure innovation efficiency in the NEV industry in Chinese provinces, and based on the results, the improved gravity model is applied to construct a spatial correlation network. Then, by applying social network analysis (SNA) to study NEV industry development node spatial correlations, we conclude that there is no overall hierarchical structure. The SNA are applied to examine spatial correlations with respect to NEV industry innovation efficiency in each province, and to analyze the role and position of each province in the spatial correlation network. Finally, the influencing factors of spatial correlation of the innovation efficiency of China’s NEV industry has been discussed. The result shows that the difference in spatial distance and R&D investment has a significant impact on the spatial correlation of the NEV industry.
Highlights
The increasing number of traditional cars has exacerbated environmental pollution and the energy crisis, and in order to address these issues, the new energy vehicle (NEV) have attracted people’s attention for their environmentally friendly performance [1,2]
The results showed that the average value of innovation efficiency in the NEV industry is generally low
In order to study the spatial correlation of innovation efficiency of the NEV industry, this article conducted the following research: First, the paper uses the super-efficiency data envelopment analysis (DEA) to measure the regional innovation efficiency of China’s NEV industry
Summary
Based on the SBM model and the network DEA model, Chen et al constructed an evaluation index system for the technological innovation efficiency of Chinese NEV companies They measured the technological innovation efficiency of China’s NEV enterprises from two aspects of technology research and development stage and achievement transformation stage [7]. This article studies the innovation efficiency of the NEV industry from the perspective of spatial correlation It can more objectively reflect the development characteristics of the NEV industry and provide policy recommendations for promoting the coordinated development of China’s NEV industry. 3. The article uses social network analysis methods to reveal the network structure characteristics and influencing factors of the innovation efficiency of the inter-provincial NEV industry, and provide policy recommendations for the NEV industry to achieve regional synergistic improvement
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