How AI Pilot Zones Drive Enterprises\' Low-Carbon Transition

• 1、Ningbo University,Ningbo 315000

Abstract：Promoting the deep integration of artificial intelligence and enterprise low-carbon economic development is the key path to cultivate new quality productivity and achieve the goal of " double carbon. " This paper takes the establishment of artificial intelligence test area as a quasi-natural experiment, and uses the multi-time point difference model to study the non-financial A-share listed companies in China from 2015 to 2024. The study found that the artificial intelligence pilot area policy can improve the level of low-carbon economic development of enterprises, and the conclusion is still valid after a series of robustness tests. Mechanism analysis shows that artificial intelligence indirectly affects the development of low-carbon economy through two paths : one is to improve the level of innovation output of enterprises, and the other is to reduce the level of supply chain financing. At the same time, the quality of environmental information disclosure has a negative moderating effect on the low-carbon economic empowerment effect of artificial intelligence, while market concentration has a positive moderating effect. This study not only enriches the literature system in the field of artificial intelligence and low-carbon economic development, but also provides empirical basis and decision-making reference for the government to formulate policies that enable low-carbon development and coordinate public health, as well as for enterprises to accurately implement low-carbon strategies to achieve a win-win situation between environment and health benefits.

Keywords： Artificial intelligence low-carbon economy experimental area environment innovation