数字金融对制造业企业绿色创新效率的影响研究OA
Research on the Improvement of Green Innovation Efficiency in Manufacturing Enterprises by Digital Finance
制造业作为实体经济核心,其绿色创新效率对实现"双碳"目标与高质量发展至关重要.针对2013-2023 年沪深A 股市场中的制造业上市公司,整合了北京大学发布的数字普惠金融指数与公司微观数据,利用超效率SBM 方法对绿色创新效率进行了量化分析,采用固定效应模型探究了数字金融的影响及其作用机理.结果表明:数字金融的发展显著提升了制造业企业的绿色创新效率,缓解融资约束与推动数字化转型是其核心传导路径,且在大企业、技术密集型企业及东部地区企业中的提升效应更为突出.本研究从绿色创新效率视角揭示了数字金融服务实体经济运行的内在机理,为破解制造业企业绿色创新效率提升难题及优化中国数字金融发展政策设计提供科学依据.
As the core of the real economy,the manufacturing sector's green innovation efficiency is crucial for achieving the'dual carbon'goals and high-quality development.Focusing on manufacturing listed companies in the Shanghai and Shenzhen A-share markets from 2013 to 2023,this study integrates the Digital Inclusive Finance Index released by Peking University with firm-level data,uses the super-efficiency SBM method to quantify green in-novation efficiency,and employs a fixed effects model to explore the impact and mechanisms of digital finance.The results show that the development of digital finance significantly improves the green innovation efficiency of manufac-turing enterprises,with alleviating financing constraints and promoting digital transformation being its core transmis-sion paths.The enhancement effect is more pronounced in large enterprises,technology-intensive enterprises,and en-terprises in the eastern region.From the perspective of green innovation efficiency,this study reveals the intrinsic mechanism by which digital finance supports the operation of the real economy,providing a basis for improving green innovation efficiency in manufacturing enterprises,and optimizing China's digital finance policy design.
马子红;谢津雨;毛锦竣
云南大学经济学院,云南 昆明 650500云南大学经济学院,云南 昆明 650500云南大学经济学院,云南 昆明 650500
管理科学
数字金融制造业企业绿色创新融资约束
digital financemanufacturing industryenterprisegreen innovationfinancing constraint
《西南林业大学学报》 2026 (6)
1-8,8
云南省哲学社会科学规划重点项目"数字金融赋能云南省制造业企业创新的机制与路径研究"(YB2025007)、云南省教学能力提升项目"宏观经济学"(W8242702001)、云南省教育厅本科教改项目"新文科背景下云南省高校经济类本科复合型人才培养模式创新探究"(JG2024013)、云南省"兴滇英才支持计划"教学名师项目(C6212701019)资助.
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