国家大数据综合实验区政策对制造企业绿色创新水平的影响OACHSSCD

Under the strategic background of promoting green transformation in the manufacturing in-dustry and achieving the"dual carbon"goals,leveraging digital industrial policies to stimulate corpo-rate green innovation has become an important issue.This study selects panel data of A-share listed manufacturing companies in Shanghai and Shenzhen from 2010 to 2024,and takes the establishment of the National Big Data Comprehensive Pilot Zone(hereinafter referred to as the"Big Data Pilot Zone")in 2016 as a quasi-natural experiment,and uses a difference-in-differences(DID)model to examine the impact of the Big Data Pilot Zone policy on the green innovation level of manufacturing enterprises and its underlying mechanisms.The results show that the Big Data Pilot Zone policy significantly im-proves the green innovation level of manufacturing enterprises,and this conclusion remains valid after a series of robustness tests.Mechanism analysis reveals that the policy works through two channels:gov-ernment environmental subsidies and digitalization level improvement.Moderating effect analysis finds that media attention and regional economic development level have significant positive moderating effects on policy outcomes.Heterogeneity analysis indicates that the policy effect is more pronounced in state-owned enterprises,large-scale enterprises,and firms with high financing constraints.In summary,the Big Data Pilot Zone policy serves as an effective tool for driving green innovation in manufacturing enterprises,with its effects realized through resource empowerment and digital transformation mecha-nisms,and moderated by both internal and external contextual factors.This study provides micro-level evidence and policy insights for optimizing digital industrial policy design and promoting the integration of digital and green technologies.