Abstract
With the global energy crisis and environmental degradation getting more rigorous, an essential approach is required to attain introverted development through structural optimization, autonomous invention, and technological innovation system. It is an important way to include energy conservation, emission reductions, and the implementation of a low-carbon mode in the power industry, which is a highly polluting sector of the national economy. This article is based on the State Intellectual Property Office of China’s patent search and analysis database. We choose the number of green patents jointly submitted for innovative topics in the power industry from 2016 to 2020. The negative binomial regression is constructed from the standpoint of multidimensional closeness by employing Gephi visual analysis, Ucinet, and the Stata 15 regional model. Furthermore, we investigate the impact of geographical closeness, technological closeness, and institutional closeness, as well as their interaction, on the green innovation performance of inventive organizations in China’s power industry. According to the findings of the study, geographical and institutional closeness have an important influence in increasing the green innovation performance. The suggested model applies to the power sector, and technological closeness has an inverted U-shaped association with green innovation performance in the power business. Furthermore, the model output at inference time is just a collection of successive parameters that improve the interaction of the closeness of innovation subjects to the green innovation performance of the power industry, all of which are represented as complementary effects.
Highlights
With the ongoing review of Chinese mechanical creative development, China’s logical and mechanical progress has increased to 59.5%, and China has achieved the 17th position in the world
Scholars have done a lot of research on the relationship between social network structural characteristics and innovation performance. e research on social network structural characteristics mostly focuses on the relationship between single structural characteristics and innovation performance. e function of interconnection, the function of knowledge transfer, and the strength of the connection between innovation themes are all very critical factors. e main reasons are the lack of integrated viewpoints, the lack of measurement of many factors, and the impact of innovation performance
We have a stronger influence on green innovation performance of power industry innovation businesses compared with geographical closeness and institutional closeness
Summary
With the ongoing review of Chinese mechanical creative development, China’s logical and mechanical progress has increased to 59.5%, and China has achieved the 17th position in the world. E performance of green innovation is to combine the collaborative power of production, learning, and research of the innovation subject. It reduces the negative impact of power enterprises on the ecological environment through technology, management, and green innovation concept. It can comprehensively improve the resource utilization efficiency of power enterprises and realize the transformation of green development and industrialization. The results of the research can give a theoretical basis and policy reference for Chinese power sector innovation in the field of collaborative optimization.
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