The infuence ofAI application on carbon emission intensity of industrial enterprises inChina
DOI：
https://doi.org/10.63944/nh11wx42关键词：
AI application; Reduction of carbon emission; Word vector model摘要
As a critical aspect of the industry 4.0 era, the application of artifcial intelligence (AI) is signifcant to environmental governance. It serves as a crucial driving force in assisting enterprises in the transition toward low-carbon practices.This paper examinesChina’sA-share industrial enterprises from 2011 to 2022, constructs and trains a word vector model to extractAI-related terms, and the impact of AI applications on the carbon emission intensity of these enterprises is investigated.The fndings reveal that enhancing the level ofAI application can efectively decrease carbon emission intensity. Specifcally, a 1% increase inAI application leads to a reduction of 0.0395% in carbon emission intensity. Further analysis indicates that enterprises can diminish their carbon emission intensity by the optimization of supply chain and green technology innovation. Heterogeneity analysis suggests that utilizingAI is benefcial for reducing the carbon emission intensity of manufacturing, high- tech, and high-pollution enterprises.The results of this study enrich the micro-level research on the relationship betweenAI and carbon emission intensity, ofering valuable insights for enterprises aiming to achieve sustainable development.
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