{"title":"Ai的绿色悖论:短期痛苦与长期救赎——中国企业可持续发展的两面","authors":"Jing Fang , Jingshuo Li , Pengfei Bi","doi":"10.1016/j.frl.2025.108544","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the impact of artificial intelligence (AI) adoption on corporate sustainability using a panel of Chinese A-share listed firms from 2011 to 2023. Focusing on operational sustainability, environmental information disclosure, and carbon emissions performance, the results reveal a dual effect of AI that incurs short-term operational pressure of adoption costs and integration challenges, followed by substantial long-term gains in environmental transparency and emissions reduction. AI remarkably improves the quality and quantity of environmental disclosure while lowering carbon intensity. These findings demonstrate the tradeoff between short-term costs and long-term benefits, enriching the literature on digital transformation and sustainability. We provide actionable policy insights, emphasizing the influence of AI in advancing corporate environmental responsibility and supporting China’s carbon neutrality agenda.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"86 ","pages":"Article 108544"},"PeriodicalIF":6.9000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Green paradox of Ai: short-term pain and long-term redemption—The two faces of Chinese enterprises’ sustainable development\",\"authors\":\"Jing Fang , Jingshuo Li , Pengfei Bi\",\"doi\":\"10.1016/j.frl.2025.108544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examines the impact of artificial intelligence (AI) adoption on corporate sustainability using a panel of Chinese A-share listed firms from 2011 to 2023. Focusing on operational sustainability, environmental information disclosure, and carbon emissions performance, the results reveal a dual effect of AI that incurs short-term operational pressure of adoption costs and integration challenges, followed by substantial long-term gains in environmental transparency and emissions reduction. AI remarkably improves the quality and quantity of environmental disclosure while lowering carbon intensity. These findings demonstrate the tradeoff between short-term costs and long-term benefits, enriching the literature on digital transformation and sustainability. We provide actionable policy insights, emphasizing the influence of AI in advancing corporate environmental responsibility and supporting China’s carbon neutrality agenda.</div></div>\",\"PeriodicalId\":12167,\"journal\":{\"name\":\"Finance Research Letters\",\"volume\":\"86 \",\"pages\":\"Article 108544\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finance Research Letters\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1544612325017982\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1544612325017982","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Green paradox of Ai: short-term pain and long-term redemption—The two faces of Chinese enterprises’ sustainable development
This study examines the impact of artificial intelligence (AI) adoption on corporate sustainability using a panel of Chinese A-share listed firms from 2011 to 2023. Focusing on operational sustainability, environmental information disclosure, and carbon emissions performance, the results reveal a dual effect of AI that incurs short-term operational pressure of adoption costs and integration challenges, followed by substantial long-term gains in environmental transparency and emissions reduction. AI remarkably improves the quality and quantity of environmental disclosure while lowering carbon intensity. These findings demonstrate the tradeoff between short-term costs and long-term benefits, enriching the literature on digital transformation and sustainability. We provide actionable policy insights, emphasizing the influence of AI in advancing corporate environmental responsibility and supporting China’s carbon neutrality agenda.
期刊介绍:
Finance Research Letters welcomes submissions across all areas of finance, aiming for rapid publication of significant new findings. The journal particularly encourages papers that provide insight into the replicability of established results, examine the cross-national applicability of previous findings, challenge existing methodologies, or demonstrate methodological contingencies.
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