Research on the influence of artificial intelligence on the new quality productive forces of the NEV industry

doi:10.19571/j.cnki.1000-2995.2025.12.004

Abstract

Abstract: In the context of the wide application of digital intelligence technology, it is of great significance to clarify the relationship between artificial intelligence and new quality productive forces and its action mechanism for economic transformation and upgrading, as well as high-quality development. Based on the panel data of listed companies in China′s new energy vehicle industry (NEV) from 2011 to 2022, this paper used the two-way fixed effect, threshold effect model and tool variable method to discuss the influence and action mechanism of artificial intelligence on the new quality productive forces of the new energy vehicle industry. The results showed that: (1) Artificial intelligence can not only directly promote the improvement of the industrial new quality productive forces, but also indirectly promote the development of industrial new quality productive forces by reducing the stickiness of R&D costs and transaction costs, improving the quality and efficiency of innovation; (2) The promotion effect of artificial intelligence on the industrial new quality productive forces has obvious heterogeneity characteristics and threshold effect. In the non-state-owned enterprises, eastern regions and after Tesla set up factories in China, as well as enterprises with short establishment time, moderate listing time and large number of employees, the promotion effect is more obvious; and (3) Analysis of the transmission effect within the industrial chain reveals that the downstream industry has a stronger transmission effect on the upstream industry. This research has revealed the emergence mechanism of artificial intelligence to promote new quality productive forces, and it will provide important inspiration for the better use of digital intelligence technology to empower new quality productive forces under the new development pattern.

Key words: artificial intelligence, new quality productive forces, innovation cost, innovation quality, innovation efficiency, threshold effect, industrial chain transmission effect

Liu Hongwei, Tan Min. Research on the influence of artificial intelligence on the new quality productive forces of the NEV industry[J]. Science Research Management, 2025, 46(12): 33-44.

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Research on the influence of artificial intelligence on the new quality productive forces of the NEV industry

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