Corporate AI Safety Governance and Firm Productivity

Published: 9 November 2026| Version 3 | DOI: 10.17632/t5f2ft6jhd.3
Contributor:
Wanyi Chen

Description

The initial sample consists of Chinese A-share listed firms from 2019 to 2025. The starting year corresponds to the establishment of China’s National New Generation Artificial Intelligence Governance Expert Committee and the issuance of the Governance Principles for a New Generation of Artificial Intelligence, which made AI safety governance a core topic of national policy and marked the beginning of China’s systematic governance framework. We exclude firms designated as Special Treatment at any time during the sample period, firms in the financial industry , and observations with missing values for the relevant variables, including those for which one-year-ahead TFP cannot be estimated. All continuous variables are winsorized at the 1st and 99th percentiles to limit the influence of outliers. The final sample contains 18,509 firm-year observations for 4,375 firms. Patent texts are obtained from the Intellectual Property Rights Database (IPRDB). Annual reports and corporate social responsibility (CSR) reports are collected from CNINFO, the information disclosure platform designated by the China Securities Regulatory Commission . Official news texts and financial data are obtained from the China Stock Market and Accounting Research (CSMAR) database.

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Finance, Corporate Governance

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