Intelligence, Industrial Transformation and Upgrading and Low-carbon Technology Innovation

Abstract

Abstract: Intelligence is a key path to promoting ecological construction and achieving high-quality economic development. This paper, based on panel data from 2013 to 2020 in China, systematically constructs an evaluation index system for regional intelligence. Then, using a dynamic threshold model, from the perspective of industrial transformation and upgrading, it explores the complex dynamic impact of intelligence on low-carbon technology innovation at different levels of industrial transformation and upgrading. The results indicate that the level of regional intelligence in China is relatively low, and regional heterogeneity is significant. Intelligence has a significant heterogeneous threshold effect on low-carbon technology innovation in industrial transformation and upgrading, and a lower degree of industrial transformation and upgrading is not conducive to assisting intelligence in driving low-carbon technology innovation. As the degree of industrial transformation and upgrading improves and breaks through critical points, it has effectively played the empowering role of intelligence to a certain extent, thereby promoting low-carbon technological innovation, which means there is a U-shaped relationship. This research has important theoretical and practical significance for clarifying the driving mechanism, plan formulation, and policy implementation of promoting regional low-carbon technology innovation in the digital economy era.

Key words: intelligence, low-carbon technology innovation, industrial transformation and upgrading, dynamic threshold model

Hou Jian, Kang Wei. Intelligence, Industrial Transformation and Upgrading and Low-carbon Technology Innovation[J]. Management Review, 2024, 36(9): 96-106.

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