A Game Strategy Study on Innovation Efficiency of China’s Listed Charging Pile Companies: Based on Generalized Fuzzy DEA Method

Shanwei Li, Jingjie Li (), Junli Ding, Mochen Sun and Chenying Cui
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Shanwei Li: School of Science, Tianjin University of Commerce, Tianjin 300134, China
Jingjie Li: School of Science, Tianjin University of Commerce, Tianjin 300134, China
Junli Ding: School of Science, Tianjin University of Commerce, Tianjin 300134, China
Mochen Sun: School of Science, Tianjin University of Commerce, Tianjin 300134, China
Chenying Cui: School of Science, Tianjin University of Commerce, Tianjin 300134, China

Sustainability, 2023, vol. 15, issue 3, 1-23

Abstract: As a necessary infrastructure for new energy vehicles (NEV), charging piles have become a hot topic of social concern. Studying the innovation efficiency of charging pile companies can help to solve the development dilemma of the charging pile industry. This paper uses the generalized fuzzy data envelopment analysis (DEA) method based on game theory to study 23 Chinese listed charging pile manufacturing companies’ innovation efficiency from 2019 to 2021. On this basis, 15 charging pile technological interrelatedness companies are joined to establish a new game environment and to discuss the possibility of charging pile product manufacturing companies shifting to a new business model led by value-added service provision. The results show that the innovation efficiency of each company is significantly improved in the cooperative state, while the opposite is true in the competitive state, so cooperation is the company’s priority choice. Charging pile product manufacturing companies are more inclined to cooperate with technologically interrelated companies. The business model dominated by value-added service provision is conducive to improving the level of industrial innovation. The competition will easily lead to the decline of their innovation efficiency. Hence, companies should carefully choose their competition strategy.

Keywords: charging pile; innovation efficiency; technological interrelatedness; game theory; generalized fuzzy data envelopment analysis; cooperation and competition (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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