Artificial Intelligence Database
Description
This data took Listed Companies in China's Shanghai and Shenzhen A-share Markets as the research objects, and the sample period was from 2007 to 2022. the data were screened to some extent: ①ST and * ST enterprises were excluded; ②Excluding financial insurance and real estate enterprises; ③Information transmission, software and information technology service enterprises were excluded; ④Excluding enterprises in the scientific research and technical service industries; ⑤Weeded out companies with significant missing key data. Then all continuous variables were then subjected to 1% and 99% quantile tail-reduction. The enterprise-level financial data used in this paper were all from the CSMAR database, and the annual reports of listed companies were from the Sina financial website. Based on the data of Shanghai and Shenzhen A-share listed companies in China from 2007 to 2022, this paper found that artificial intelligence significantly promoted the improvement of enterprise resilience, and the conclusion remained valid after considering the endogeneity problem and various robustness tests; At the same time, artificial intelligence has also promoted the high-quality development of enterprises. From the perspective of internal mechanism, artificial intelligence improves the degree of enterprise specialization, expands the boundaries of enterprise innovation, and thus improves organizational resilience; Heterogeneity analysis found that for enterprises with a high degree of digital transformation and large enterprises, the role of artificial intelligence in improving enterprise resilience is relatively obvious. This study has important implications for using AI to enable enterprises to enhance resilience and achieve high-quality development.