{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T09:05:17Z","timestamp":1775725517427,"version":"3.50.1"},"reference-count":89,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T00:00:00Z","timestamp":1689033600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>With the emergence of the digital economy, digital technologies\u2014such as artificial intelligence (AI)\u2014have provided new possibilities for the green development of enterprises. Green total factor productivity is a key indicator of green sustainable development. While traditional total factor productivity does not consider the constraints of natural resources and the environment, green total factor productivity remedies this deficiency by incorporating environmental protection indicators, such as pollutant emissions, into the accounting system. To further clarify the relationship between AI technology and corporate green total factor productivity, this study uses a two-way fixed effects model to examine the impact of AI technology on the corporate green total factor productivity of A-share listed companies in China from 2013 to 2020 while examining how corporate slack resources affect the relationship between the two. The results show that the AI application positively contributes to the green total factor productivity of enterprises. Meanwhile, firms\u2019 absorbed, unabsorbed, and potential slack resources all positively moderate the positive impact of AI technology on firms\u2019 green total factor productivity. This study offers a theoretical basis for a comprehensive understanding of digital technology and enterprises\u2019 green development. It also contributes practical insights for the government to formulate relevant policies and for enterprises to use digital technology to attain green and sustainable development.<\/jats:p>","DOI":"10.3390\/systems11070356","type":"journal-article","created":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T01:01:41Z","timestamp":1689123701000},"page":"356","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Artificial Intelligence and Green Total Factor Productivity: The Moderating Effect of Slack Resources"],"prefix":"10.3390","volume":"11","author":[{"given":"Ying","family":"Ying","sequence":"first","affiliation":[{"name":"College of Business, Gachon University, Seongnam 13120, Republic of Korea"}]},{"given":"Xiaoyan","family":"Cui","sequence":"additional","affiliation":[{"name":"College of Foreign Languages, Qingdao Institute of Technology, Jiaozhou 266300, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4835-8664","authenticated-orcid":false,"given":"Shanyue","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Business, Gachon University, Seongnam 13120, Republic of Korea"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"11025","DOI":"10.1007\/s11356-022-22697-3","article-title":"Inclusive Green Growth for Sustainable Development of Cities in China: Spatiotemporal Differences and Influencing Factors","volume":"30","author":"Fan","year":"2023","journal-title":"Environ. 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