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| Research on the Evaluation of the Impact of Industrial Policy on Business Model Innovation：Take Photovoltaic and Artificial Intelligence Listed Companies as Examples |
| Li Yongfa,Chen Shuyang,Luo Ti |
| (School of Business Administration, Anhui University of Finance and Economics, Bengbu 233000,China) |
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Abstract Industrial policy is an important tool for the government to guide industrial development and adjust the imbalance of the industrial structure, which affects the level of business model innovation. Based on the data of 82 Chinese photovoltaics and 52 artificial intelligence listed companies, the cs QCA method is adopted to explore the combination of industrial policy and other factors that lead to high-level or low-level business model innovation from the three dimensions of selection level, incentive level and engagement level the way. The research found that:the role of different attribute levels in industrial policies is different. The path of high-level and low-level business model innovation is not a simple symmetrical relationship, nor is a single condition that can play a decisive role, or it depends on the combination of different conditions.There are differences in the effects of various industrial policy attributes in different industries on business model innovation. Finally, by setting the evaluation criteria of business model innovation, it provides a feasible idea for optimizing the diagnosis of business model innovation path.
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Received: 22 March 2021
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