Yinghao Song , Long Mi , Zhaian Bian , Wei Tu , Juan He
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The policy systematically enhances firms’ ESG through multiple pathways, including digital transformation, green innovation, and corporate social responsibility information disclosure. This policy effect manifests as a “catching-up effect” of digital technological innovation for ESG laggards in regions with lower digital economic development levels and firms with weaker digital transformation foundations. Specifically, entities with initially weaker technological bases can more effectively use AI technology to narrow their ESG gap with leading counterparts and achieve leapfrog improvements in sustainable development performance through policy empowerment. This catching-up effect is driven by technological innovation and market participation. By expanding the technological innovation perspective in ESG research, this study provides a theoretical foundation for policymakers to optimize region-specific support strategies and for corporate managers to design digital ESG improvement pathways. It also offers new empirical evidence on how technological innovation can drive corporate sustainable development in the digital economy era.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100843"},"PeriodicalIF":15.5000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How does artificial intelligence impact corporate ESG performance? 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The policy systematically enhances firms’ ESG through multiple pathways, including digital transformation, green innovation, and corporate social responsibility information disclosure. This policy effect manifests as a “catching-up effect” of digital technological innovation for ESG laggards in regions with lower digital economic development levels and firms with weaker digital transformation foundations. Specifically, entities with initially weaker technological bases can more effectively use AI technology to narrow their ESG gap with leading counterparts and achieve leapfrog improvements in sustainable development performance through policy empowerment. This catching-up effect is driven by technological innovation and market participation. By expanding the technological innovation perspective in ESG research, this study provides a theoretical foundation for policymakers to optimize region-specific support strategies and for corporate managers to design digital ESG improvement pathways. 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How does artificial intelligence impact corporate ESG performance? The catching−up effect of digital technological innovation
Against the backdrop of the deep integration between the digital economy and corporate sustainable development, this study uses the national New Generation Artificial Intelligence Innovation and Development Pilot Zone (AI_IDPZ) policy as a quasi-natural experiment. Based on data from Chinese A-share listed companies from 2009 to 2023, this study employs a difference-in-differences model to empirically examine the impact of artificial intelligence (AI) on corporate environmental, social, and governance (ESG) performance and its underlying mechanisms while revealing the catching-up effect of digital technological innovation through heterogeneity analysis. Results show that the AI_IDPZ policy has a significantly positive impact on corporate ESG performance. The policy systematically enhances firms’ ESG through multiple pathways, including digital transformation, green innovation, and corporate social responsibility information disclosure. This policy effect manifests as a “catching-up effect” of digital technological innovation for ESG laggards in regions with lower digital economic development levels and firms with weaker digital transformation foundations. Specifically, entities with initially weaker technological bases can more effectively use AI technology to narrow their ESG gap with leading counterparts and achieve leapfrog improvements in sustainable development performance through policy empowerment. This catching-up effect is driven by technological innovation and market participation. By expanding the technological innovation perspective in ESG research, this study provides a theoretical foundation for policymakers to optimize region-specific support strategies and for corporate managers to design digital ESG improvement pathways. It also offers new empirical evidence on how technological innovation can drive corporate sustainable development in the digital economy era.
期刊介绍:
The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices.
JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience.
In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.