{"title":"买家数字化转型的环境溢出效应:来自中国的证据","authors":"Longda Li","doi":"10.1016/j.techfore.2024.123828","DOIUrl":null,"url":null,"abstract":"<div><div>With respect to the carbon reduction effects of digital transformation (DT), the literature focuses mainly on individual firms' performance, ignoring the environmental spillovers arising from supplier-buyer interactions from a supply chain perspective. By examining the positive impact of buyers' DT on suppliers' carbon emission reduction (CER), we validate the existence of buyers' DT environmental spillovers. This study collects and analyzes supply chain data of Chinese A-share listed firms during 2008–2021. We construct an ordinary least squares (OLS) model and perform a cluster-robust estimation with supplier-buyer pairs as clusters. Mechanism analysis identifies two environmental spillover mechanisms—the pushback and technology spillover effects. Moreover, we find a spatial decay pattern in the buyers' DT environmental spillovers. Heterogeneity analysis indicates that such spillovers are more pronounced when suppliers are identified as polluters or when the digitization gap is narrower. This study complements the green supply chain management (GSCM) literature and provides relevant suggestions for governments and manufacturing firms in emerging economies.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123828"},"PeriodicalIF":12.9000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The environmental spillovers of buyers' digital transformation: Evidence from China\",\"authors\":\"Longda Li\",\"doi\":\"10.1016/j.techfore.2024.123828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With respect to the carbon reduction effects of digital transformation (DT), the literature focuses mainly on individual firms' performance, ignoring the environmental spillovers arising from supplier-buyer interactions from a supply chain perspective. By examining the positive impact of buyers' DT on suppliers' carbon emission reduction (CER), we validate the existence of buyers' DT environmental spillovers. This study collects and analyzes supply chain data of Chinese A-share listed firms during 2008–2021. We construct an ordinary least squares (OLS) model and perform a cluster-robust estimation with supplier-buyer pairs as clusters. Mechanism analysis identifies two environmental spillover mechanisms—the pushback and technology spillover effects. Moreover, we find a spatial decay pattern in the buyers' DT environmental spillovers. Heterogeneity analysis indicates that such spillovers are more pronounced when suppliers are identified as polluters or when the digitization gap is narrower. This study complements the green supply chain management (GSCM) literature and provides relevant suggestions for governments and manufacturing firms in emerging economies.</div></div>\",\"PeriodicalId\":48454,\"journal\":{\"name\":\"Technological Forecasting and Social Change\",\"volume\":\"209 \",\"pages\":\"Article 123828\"},\"PeriodicalIF\":12.9000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technological Forecasting and Social Change\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0040162524006267\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162524006267","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
摘要
关于数字化转型(DT)的碳减排效应,文献主要关注单个企业的绩效,而忽视了从供应链角度看供应商与买方互动所产生的环境溢出效应。通过研究买方数字化转型对供应商碳减排(CER)的积极影响,我们验证了买方数字化转型环境溢出效应的存在。本研究收集并分析了 2008-2021 年中国 A 股上市公司的供应链数据。我们构建了一个普通最小二乘法(OLS)模型,并以供应商-买家对作为聚类进行了集群稳健估计。机制分析发现了两种环境溢出机制--倒逼效应和技术溢出效应。此外,我们还发现买方的 DT 环境溢出效应存在空间衰减模式。异质性分析表明,当供应商被认定为污染者或数字化差距较小时,这种溢出效应更为明显。本研究是对绿色供应链管理(GSCM)文献的补充,为新兴经济体的政府和制造企业提供了相关建议。
The environmental spillovers of buyers' digital transformation: Evidence from China
With respect to the carbon reduction effects of digital transformation (DT), the literature focuses mainly on individual firms' performance, ignoring the environmental spillovers arising from supplier-buyer interactions from a supply chain perspective. By examining the positive impact of buyers' DT on suppliers' carbon emission reduction (CER), we validate the existence of buyers' DT environmental spillovers. This study collects and analyzes supply chain data of Chinese A-share listed firms during 2008–2021. We construct an ordinary least squares (OLS) model and perform a cluster-robust estimation with supplier-buyer pairs as clusters. Mechanism analysis identifies two environmental spillover mechanisms—the pushback and technology spillover effects. Moreover, we find a spatial decay pattern in the buyers' DT environmental spillovers. Heterogeneity analysis indicates that such spillovers are more pronounced when suppliers are identified as polluters or when the digitization gap is narrower. This study complements the green supply chain management (GSCM) literature and provides relevant suggestions for governments and manufacturing firms in emerging economies.
期刊介绍:
Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors.
In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.