AI-Boosted ESG: Transforming Enterprise ESG Performance Through Artificial Intelligence
Description
This dataset is a collection of data and code used in the article AI-Boosted ESG: Transforming Enterprise ESG Performance Through Artificial Intelligence. The hypotheses of this paper include: 1. AI can promote ESG performance; 2.AI can improve ESG performance by improving green technology innovation, labor employment quality and analyst attention, as well as reducing management expense rate; 3. The enhancement effect of AI on ESG performance is more obvious in large-scale enterprises, manufacturing enterprises and enterprises in the eastern region. This dataset includes the three relevant tests above, as well as the relevant procedure codes for several robustness tests, including changing the AI word frequency statistics, using the multi-time-point difference-in-differences model, changing the model type to Tobit model, lagging one stage, and shortening the sample period. The data provided is collated to a certain extent. If you need specific original data or some other related material, you can contact corresponding author Jiayi Yu to ask for it at yu_jiayi20@126.com.
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This paper studies the impact of AI application level of China's listed companies on their ESG performance from 2011 to 2023. Artificial intelligence related data from CNINFO. Other data are collected from CSMAR. All the data and codes are processed using Stata 18.0.