TOE架构下企业碳排放的影响路径及组态研究——基于SVM-fsQCA组合模型分析  

The Impact Paths and Configurations of Corporate Carbon Emissions under the TOE Framework:An Analysis Based on a Combined SVM-fsQCA Model

作　　者：肖汉杰 陈诚[1] 武亮 桑秀丽 XIAO Hanjie;CHEN Cheng;WU Liang;SANG Xiuli(School of Economics and Management,Huzhou University,Huzhou 313000,Zhejiang,China;State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization,Kunming University of Science and Technology,Kunming 650093,China;Yunnan Institute of Industrial Development,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]湖州师范学院经济管理学院,浙江湖州313000 [2]昆明理工大学复杂有色金属资源清洁利用国家重点实验室,云南昆明650093 [3]昆明理工大学云南产业研究院,云南昆明650500

出　　处：《昆明理工大学学报(自然科学版)》2025年第2期203-214,共12页Journal of Kunming University of Science and Technology(Natural Science)

基　　金：浙江省软科学重点项目(2024C25001);浙江省哲学社会科学规划课题(23NDJC303YB);浙江省软科学研究项目(2023C35044).

摘　　要：企业是实现“双碳”目标的关键主体,探究影响企业碳排放的组态路径旨在明晰影响企业碳排放的内在机制,探索多条路径及其内在联系,为不同企业的减排管理提供政策优化建议和实践启示.基于2021年沪深主板A股2809家上市公司的微观数据,在TOE分析框架的基础上选用绿色金融、环境规制、环境信息披露、融资约束、绿色技术创新等因素作为前因条件,并采用支持向量机(SVM)对前因条件进行识别,再结合必要分析条件(NCA)和模糊集定性比较分析(fsQCA),探究前因条件组合与企业碳排放间的复杂因果关系.单一路径不能实现企业低碳排放;企业低碳排放存在两条路径,分别为以环境信息披露为核心条件的组织信息驱动型和以绿色金融和环境规制为核心条件的环境融合驱动型;企业非低碳排放存在三条路径,分别为组织因素综合约束型、组织融资—环境因素综合约束型、技术—环境因素综合约束型.企业低碳排放的实现具有多样性和复杂性,单一因素难以发挥决定性作用,企业在低碳转型过程中应根据自身特点,选择适合的路径组合,以实现降碳目标.Corporate entities are the key to achieving the“dual carbon”targets.Investigating the configurational paths that influence corporate carbon emissions aims to elucidate the underlying mechanisms affecting these emissions,explore multiple paths and their interconnections,and offer policy optimization recommendations and practical insights for emission reduction management across different corporations.This paper utilizes micro data from 2809 listed companies on the Shanghai and Shenzhen main boards in 2021,and within the TOE analytical framework,selects green finance,environmental regulation,environmental information disclosure,financing constraints,and green technological innovation as antecedent conditions.It employs Support Vector Machine(SVM)for the identification of these antecedent conditions and then integrates Necessary Condition Analysis(NCA)and Fuzzy-set Qualitative Comparative Analysis(fsQCA)to explore the complex causal relationships between the combinations of antecedent conditions and corporate carbon emissions.A single path is insufficient for achieving low carbon emissions in corporations;there are two paths for low carbon emissions,namely the organizational information-driven type with environmental information disclosure as the core condition,and the environmental integration-driven type with green finance and environmental regulation as the core conditions.For non-low carbon emissions,there are three paths:the comprehensive organizational constraint type,the organizational financing-environmental factor comprehensive constraint type,and the technology-environmental factor comprehensive constraint type.The realization of low carbon emissions in corporations is diverse and complex,with no single factor being decisive.Corporations should select suitable path combinations based on their unique characteristics during the low-carbon transition process to achieve carbon reduction objectives.

关 键 词：绿色金融 企业碳排放 模糊集定性比较分析(fsQCA) 必要条件分析(NCA) 支持向量机(SVM) 

分 类 号：X322[环境科学与工程—环境工程] F832.51[经济管理—金融学]