{"title":"智能制造与企业绿色转型","authors":"Xiaotong Cai , Peiyan Lin , Rui Wang","doi":"10.1016/j.irfa.2024.103796","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid evolution of intelligent manufacturing technologies presents opportunities and challenges for corporate environmental sustainability. Although these advancements offer potentially improved efficiency and reduced environmental impact, their actual effect on firms' green transformation remains understudied, particularly in the Chinese market. Hence, this research fills this gap by focusing on the mediating roles of financing constraints and knowledge diversification. Utilizing a comprehensive dataset of 18,390 firm-year observations from Chinese A-share listed companies between 2007 and 2022, we employ fixed-effects regression models and mediation analyses to examine these relationships. Our findings reveal a notable positive impact of intelligent manufacturing on green transformation, partially mediated by reduced financing constraints and increased knowledge diversification. Furthermore, we uncover important heterogeneities across firm lifecycle stages and ownership structures, with mature firms and state-owned enterprises benefiting more from intelligent manufacturing in their green transformation efforts. These results contribute to the growing literature on sustainable Industry 4.0 and offer valuable insights for policymakers and corporate leaders seeking to leverage technological advancements for environmental sustainability.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"97 ","pages":"Article 103796"},"PeriodicalIF":7.5000,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent manufacturing and corporate green transformation\",\"authors\":\"Xiaotong Cai , Peiyan Lin , Rui Wang\",\"doi\":\"10.1016/j.irfa.2024.103796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rapid evolution of intelligent manufacturing technologies presents opportunities and challenges for corporate environmental sustainability. Although these advancements offer potentially improved efficiency and reduced environmental impact, their actual effect on firms' green transformation remains understudied, particularly in the Chinese market. Hence, this research fills this gap by focusing on the mediating roles of financing constraints and knowledge diversification. Utilizing a comprehensive dataset of 18,390 firm-year observations from Chinese A-share listed companies between 2007 and 2022, we employ fixed-effects regression models and mediation analyses to examine these relationships. Our findings reveal a notable positive impact of intelligent manufacturing on green transformation, partially mediated by reduced financing constraints and increased knowledge diversification. Furthermore, we uncover important heterogeneities across firm lifecycle stages and ownership structures, with mature firms and state-owned enterprises benefiting more from intelligent manufacturing in their green transformation efforts. These results contribute to the growing literature on sustainable Industry 4.0 and offer valuable insights for policymakers and corporate leaders seeking to leverage technological advancements for environmental sustainability.</div></div>\",\"PeriodicalId\":48226,\"journal\":{\"name\":\"International Review of Financial Analysis\",\"volume\":\"97 \",\"pages\":\"Article 103796\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Financial Analysis\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1057521924007282\",\"RegionNum\":1,\"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":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521924007282","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Intelligent manufacturing and corporate green transformation
The rapid evolution of intelligent manufacturing technologies presents opportunities and challenges for corporate environmental sustainability. Although these advancements offer potentially improved efficiency and reduced environmental impact, their actual effect on firms' green transformation remains understudied, particularly in the Chinese market. Hence, this research fills this gap by focusing on the mediating roles of financing constraints and knowledge diversification. Utilizing a comprehensive dataset of 18,390 firm-year observations from Chinese A-share listed companies between 2007 and 2022, we employ fixed-effects regression models and mediation analyses to examine these relationships. Our findings reveal a notable positive impact of intelligent manufacturing on green transformation, partially mediated by reduced financing constraints and increased knowledge diversification. Furthermore, we uncover important heterogeneities across firm lifecycle stages and ownership structures, with mature firms and state-owned enterprises benefiting more from intelligent manufacturing in their green transformation efforts. These results contribute to the growing literature on sustainable Industry 4.0 and offer valuable insights for policymakers and corporate leaders seeking to leverage technological advancements for environmental sustainability.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.