新质生产力如何赋能企业高质量发展OA
How New Quality Productive Forces empower high-quality corporate development:Causal evidence from double machine learning
新质生产力是突破传统增长瓶颈、实现高质量发展的重要路径.选取2013-2022年沪深A股上市公司数据,构建新质生产力评价指标体系,测度其发展水平,从经济效率和社会效益视角评估企业高质量发展状况.同时,分析构建新质生产力对企业高质量发展的作用机理,并采用双重机器学习法进行实证检验.结果表明:新质生产力能显著提升企业全要素生产率和可持续发展水平;从细分维度看,新质生产力对环境绩效与社会发展具有正向影响,但对企业治理存在一定的抑制作用;机制分析发现,新质生产力可通过提升创新效率、增强产品市场竞争力、缓解融资约束来促进企业高质量发展;该作用存在区域与行业异质性,对中西部地区、国有企业、非高新技术企业及非制造业的促进作用更为显著.研究结论可为提升企业高质量发展提供理论依据和决策参考.
New quality productive forces constitute an important pathway for breaking traditional growth bottlenecks and achieving high-quality corporate development.Using a sample of A-share listed firms in Shanghai and Shenzhen from 2013 to 2022,this study constructs a comprehensive index system to measure the level of new quality productive forces and evaluates corporate high-quality development from the perspectives of economic efficiency and social benefits.Based on a theoretical analysis of the underlying mechanisms,the causal impact of new quality productive forces on corporate high-quality development is empirically examined using the double machine learning(DML)approach. The results indicate that new quality productive forces significantly enhance firms' total factor productivity and sustainable development performance.From a multidimensional perspective,new quality productive forces exert positive effects on environmental and social development,while having a negative impact on corporate governance.Mechanism analysis shows that new quality productive forces promote high-quality corporate development by improving innovation efficiency,strengthening product market competitiveness,and alleviating financing constraints. Further heterogeneity analysis reveals that the promoting effects are more pronounced for firms located in central and western regions,state-owned enterprises,non-high-tech firms,and non-manufacturing firms.Overall,this study provides causal evidence on the role of new quality productive forces in fostering high-quality corporate development and offers theoretical insights and policy implications for firm-level high-quality growth.
车四方;陈巧
重庆工商大学 经济学院,重庆 400067||重庆工商大学 数学与统计学院,重庆 400067重庆工商大学 数学与统计学院,重庆 400067
社会科学
新质生产力企业高质量发展双重机器学习
new quality productive forceshigh-quality corporate developmentdouble machine learning
《重庆理工大学学报》 2026 (4)
162-176,15
国家社会科学基金青年项目"基于机器学习的多维相对贫困精准识别、测度与预警机制研究"(21CTJ007)
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