国家自主创新示范区对长江经济带绿色创新效率的影响OA
The Impact of National Independent Innovation Demonstration Zone on Green Innovation Efficiency in the Yangtze River Eco-nomic Belt:Quasi-natural Experiments Based on Double Ma-chine Learning
在全球可持续发展的背景下,绿色创新是降低能源消耗、提升生态系统韧性的关键路径.利用长江经济带94个城市的数据,基于国家自主创新示范区这一准自然试验,运用双重机器学习(DML)模型检验国家自主创新示范区对长江经济带绿色创新效率的政策效果.研究发现,国家自主创新示范区的设立对长江经济带绿色创新效率具有显著的正向促进作用.进一步分析表明,国家自主创新示范区对绿色创新基础较好以及非资源型城市的带动作用更强.机制检验发现,政府创新偏好和高技术产业集聚在国家自主创新示范区促进长江经济带绿色创新效率提升过程中发挥重要的中介作用.基于此,提出深化区域协同创新,精准因城施策,推动高技术产业向园区化、集群化发展等建议,为长江经济带经济绿色发展提供参考.
In the context of global sustainable development,green innovation is an important part of reduc-ing energy consumption and improving ecosystem resilience.With the steady promotion of the Yangtze River Economic Belt strategy,several National Independent Innovation Demonstration Zones have been established one after another within the region,aiming to empower the green transformation and upgrading of traditional in-dustries in an all-round way through the innovation cluster effects and providing a soft environment for the re-search and development of green innovation technology and the transformation of achievements.Therefore,ex-ploring the policy effects and underlying mechanisms of National Independent Innovation Demonstration Zones on the efficiency of green innovation in the Yangtze River Economic Belt is of profound strategic signifi-cance to promote the region's green development.This study collects data from 94 cities in the Yangtze River Economic Belt and selects the super-efficient SBM model to measure the green innovation efficiency in the re-gion.Taking the establishment of National Independent Innovation Demonstration Zones as a quasi-natural ex-periment,the Double Machine Learning(DML)model is applied to evaluate the policy effects of National Inde-pendent Innovation Demonstration Zones on green economic development in the Yangtze River Economic Belt,effectively mitigating the adverse impact of"the curse of dimensionality"on model estimation.The results in-dicate the following:①Green innovation efficiency in the Yangtze River Economic Belt exhibited an overall upward trend from 2007 to 2022,although regional disparities remain prominent.②The establishment of Na-tional Independent Innovation Demonstration Zones has a significantly positive effect on green innovation effi-ciency in the Yangtze River Economic Belt.③High-tech industrial agglomeration and government innovation preference serve as important mediating channels through which National Independent Innovation Demonstra-tion Zones enhance green innovation efficiency.④The positive impact of National Independent Innovation Demonstration Zones is more pronounced in cities with stronger green innovation foundations and in non-resource-based cities.Based on these findings,this study proposes the following policy recommendations:First,in terms of policy coordination and resource allocation,administrative barriers should be reduced,and flexible policy support should be provided to enhance breakthroughs in green technology R&D and the effi-ciency of cross-regional sharing.Second,with respect to urban characteristics and resource disparities,differ-entiated strategies should be implemented to compensate for the shortcomings of resource-based and infrastructure-weak cities and stimulate innovation vitality across different types of cities.Third,regarding government orientation and industrial layout,it is essential to optimize government performance evaluation sys-tems and foster industrial agglomeration spaces to strengthen pro-green policy preferences and promote the in-tensive development of high-tech industries tailored to local comparative advantages.
刘超;孙蕴哲;李晓钰
河北大学经济学院,河北 保定 071002||河北大学资源利用与环境保护研究中心,河北 保定 071002河北大学经济学院,河北 保定 071002河北大学经济学院,河北 保定 071002
管理科学
国家自主创新示范区长江经济带经济绿色发展绿色创新双重机器学习高技术产业集聚政府创新偏好准自然实验
National Independent Innovation Demonstration ZoneYangtze River Economic Beltgreen economic developmentgreen innovationdouble machine learninghigh-tech industry clusteringgovernment innovation preferencesquasi-natural experiment
《创新科技》 2026 (3)
31-43,13
国家社会科学基金重大项目"协同推进降碳、减污、扩绿、增长的体制机制研究"(23ZDA106).
评论