Carbon Productivity Improvement for Manufacturing Based on AI

Nowadays, with the rapid development of Internet technology, artificial intelligence (AI) technology plays an increasingly important role in addressing global climate issues. How to use AI technology driving manufacturing industry carbon productivity improvement has become a more and more important issue. Taking 27 sub-sectors of manufacturing business in China as the research object, this paper uses the fsQCA method to explore the synergistic effects relationships among factors such as artificial intelligence technology which affect the carbon productivity of the manufacturing business, and finds that there are three upgrade paths to ameliorate the carbon productivity of the manufacturing business driven by AI technology, namely environment-inspired path, energy-driven path and technology-coordinated path. According to the conclusions of this paper, relevant policies and suggestions on artificial intelligence technology to improve manufacturing carbon productivity are put forward. The research findings of this paper are that, through theoretical analysis and empirical tests, the positive effect of AI technology on manufacturing carbon productivity is verified, and the path of AI technology driving manufacturing carbon productivity improvement is found, which provides a theoretical basis for using AI technology to improve manufacturing carbon productivity in the context of Internet plus.