A research on the evolution of cooperative innovation network of new energy industry based on multi-dimensional proximities

SU Yi; GUO Jia-Xing; WANG Wen-Jing

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Science Research Management ›› 2021, Vol. 42 ›› Issue (8) : 67-74.

A research on the evolution of cooperative innovation network of new energy industry based on multi-dimensional proximities

Su Yi^1,2, Guo Jiaxing¹， Wang Wenjing¹

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Abstract

The development of new energy industry is not only an important part of cultivating strategic emerging industries, but also an effective way to promote high-quality economic development and enhance China′s core competitiveness. However, the research on the Cooperative Innovation Network of China′s new energy industry from the perspective of multi-dimensional proximities needs to be strengthened. Therefore, based on the multi-dimensional perspective of proximity, through the social network analysis method, this paper deeply analyzes the evolution dynamics of China′s new Energy Industry Cooperative Innovation Network, explores its evolution law, and puts forward the corresponding countermeasures, it is expected to promote the development of new energy industry in China.
By manually searching the patent database of the State Intellectual Property Office, a sample of the patent data of the top 100 New Energy Enterprises from 1999 to 2018 was collected, with the help of UCINET6.0 software, the cooperative innovation network of each stage is visualized, and the related parameters of the Cooperative Innovation Network Atlas of new energy industry are analyzed. The performance of cooperative innovation is selected as the dependent variable, geographical proximity, technological proximity, organizational proximity and social proximity as the independent variables, and scale similarity and R&D experience similarity as the control variables, and carry on the standardization processing to these variable data. On this basis, the 1999-2018 period is divided into four stages, every five years for a stage, to establish a research model, using QAP multiple regression analysis, this paper explores the effects of geographical proximity, technological proximity, social proximity and organizational proximity on the evolution of cooperative innovation networks in new energy industries at different stages.
The results show that the influence of geographical proximity on the evolution of new energy industry cooperative innovation network is decreasing, and organizational proximity always plays a positive role in the evolution of new energy industry cooperative innovation network, the influence of technology proximity on the evolution of the innovation network is decreasing, and the social proximity is an important factor to promote the evolution of the Innovation Network, and its significance is always high.
In order to speed up the construction of a clean, low-carbon, safe and efficient modern new energy network in China and promote the sound development of the new energy industry, based on the results of the empirical study, this paper puts forward corresponding countermeasures and suggestions: firstly, to build an inter-regional new energy industry cooperation platform. Secondly, we will implement the technology-leading strategy, develop distinctive technological features, and establish a mechanism for regional mutual learning of new energy technologies and a mechanism for joint tackling complex technologies.
The contributions of this study are as follows: firstly, from the perspective of networking, a cooperative innovation network model of China′s new energy industry is constructed, this paper explores the law of cooperation and development of new energy industry in China, so as to find out the effective countermeasures to promote the cooperation and innovation of new energy industry. Secondly, through the multiple regression analysis of QAP, this paper investigates the influence degree of multi-dimensional proximities on the evolution of new energy industry cooperative innovation network, and puts forward the countermeasures to promote the good development of new energy industry.

Key words

multidimensional proximity / new energy industry / innovation network evolution / QAP analysis

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Su Yi, Guo Jiaxing, Wang Wenjing. A research on the evolution of cooperative innovation network of new energy industry based on multi-dimensional proximities[J]. Science Research Management. 2021, 42(8): 67-74

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