Can the application of artificial intelligence in industry cut China’s industrial carbon intensity?

As an emerging technology, industrial intelligence focus on the integration of artificial intelligence and production, which creates a new access to achieve the goal of carbon emissions reduction. Using data on provincial panel data from 2006 to 2019 in China, we empirically analyze the impact and s...

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Bibliographic Details
Published in:Environmental science and pollution research international 2023-07, Vol.30 (33), p.79571-79586
Main Authors: Tao, Sijia, Wang, Yanqiu, Zhai, Yingnan
Format: Article
Language:English
Subjects:
Aquatic Pollution
Artificial Intelligence
Atmospheric Protection/Air Quality Control/Air Pollution
Carbon
Carbon Dioxide - analysis
China
Clean technology
Earth and Environmental Science
Economic Development
Ecotoxicology
Emissions
Emissions control
Empirical analysis
Environment
Environmental Chemistry
Environmental Health
Environmental science
Green development
Impact analysis
Industry
New technology
Review Article
Waste Water Technology
Water Management
Water Pollution Control
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Summary:As an emerging technology, industrial intelligence focus on the integration of artificial intelligence and production, which creates a new access to achieve the goal of carbon emissions reduction. Using data on provincial panel data from 2006 to 2019 in China, we empirically analyze the impact and spatial effects of industrial intelligence on industrial carbon intensity from multiple dimensions. Results show an inverse proportionality between industrial intelligence and industrial carbon intensity, and the mechanism is to promote green technology innovation. Our results remain robust after accounting for endogenous issues. Viewed from spatial effect, industrial intelligence can inhibit not only the industrial carbon intensity of the region but also the surrounding areas. More strikingly, the impact of industrial intelligence in the eastern region is more obvious than that in the central and western regions. This paper effectively complements the research on the influencing factors of industrial carbon intensity and provides a reliable empirical basis for industrial intelligence to reduce industrial carbon intensity, as well as a policy reference for the green development of the industrial sector.
ISSN:1614-7499
0944-1344
1614-7499
DOI:10.1007/s11356-023-27964-5