绿色金融发展水平对供应链碳减排的影响研究OA
Research on the Impact of Green Finance Development Level on Supply Chain Carbon Emission Reduction
面向"双碳"战略深化实施与绿色供应链协同发展的现实需求,研究绿色金融发展水平如何通过传导机制破解供应链碳减排困境具有重要意义.本文基于资源编排理论,利用 2010~2023 年A股上市公司数据,从跨组织资源再分配的"结构化、能力化、价值化"过程,揭示绿色金融发展水平对供应链碳减排的影响.研究发现,绿色金融发展水平显著提升供应链碳减排,且对上游企业的减排促进效应强于下游企业.机制检验表明,绿色金融发展水平通过缓解企业融资约束、推动数字化转型两条路径形成协同作用,存在"绿色金融发展水平-融资约束-数字化转型-供应链碳减排"的链式中介传导路径.异质性分析显示,国有企业、客户依赖度较高的企业能更有效地利用绿色金融资源实现供应链减排效应.研究揭示绿色金融发展在供应链层面的协同减排机理,为优化绿色金融发展、强化供应链低碳发展提供了理论支撑与实践路径.
Given the practical needs of advancing the"dual-carbon"strategy and green supply chain collaboration,stud-ying how green finance development addresses supply chain carbon reduction dilemmas through transmission mechanisms is signifi-cant.Based on resource orchestration theory,using 2010-2023 A-share listed company data,this paper explores green finance's essential impact on supply chain carbon reduction via the"structuring,capability-building,value-creation"process of inter-or-ganizational resource redistribution.Findings show green finance significantly boosts supply chain carbon reduction,with stronger effects on upstream than downstream enterprises.Mechanism tests reveal a chain mediation path:"green finance development-eased financing constraints-digital transformation-supply chain carbon reduction".Heterogeneity analysis indicates state-owned en-terprises and those with low customer dependence better utilize green financial resources for supply chain emission reduction.This study clarifies inter-organizational collaborative reduction mechanisms of green finance at the supply chain level,offering theoretical and practical support for optimizing green finance and strengthening low-carbon supply chains.
张晨;卢靖宇;赵沁娜
合肥工业大学管理学院,合肥 230009合肥工业大学数据科学与智慧社会治理教育部哲学社会科学实验室,合肥 230009合肥工业大学管理学院,合肥 230009
管理科学
绿色金融发展水平供应链碳减排融资约束数字化转型链式中介资源编排理论国有企业客户依赖度
development level of green financecarbon emission reduction in the supply chainfinancing constraintsdi-gital transformationchain mediationresource orchestration theorystate-owned enterprisescustomer dependency
《工业技术经济》 2026 (2)
22-32,11
国家自然科学基金面上项目"基于多源异构混频数据深度学习的碳金融资产定价理论与方法"(项目编号:71971071)国家自然科学基金面上项目"碳市场有效性目标驱动的多元异构碳金融产品结构优化理论与方法"(项目编号:72471068)国家社会科学基金规划项目"供应链压力视角下中小企业ESG实践的促进机制研究"(项目编号:24BGL030).
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