持久性(不连续性)
透视图(图形)
绿色创新
业务
绿色增长
大数据
环境经济学
经济
营销
产业组织
工程类
可持续发展
政治学
计算机科学
数据挖掘
人工智能
岩土工程
法学
作者
Ruizhi Liu,Miaole Hou,Ruifeng Jing,Anja Bauer,Mark Wu
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2024-11-03
卷期号:16 (21): 9570-9570
被引量:5
摘要
Enhancing the persistence of corporate green innovation is crucial for promoting sustainable societal development. As big data technologies and related policies advance, digitalization emerges as an effective enabler of green innovation in enterprises. This study, grounded in resource-based theory and corporate ecology theory, examines the impact of national-level big data pilot zone reforms on the persistence of corporate green innovation, utilizing data from China’s A-share-listed companies from 2011 to 2021. It also explores the moderating effect of green finance development. Empirical results indicate that (1) the implementation of national-level big data pilot zones positively influences the persistence of green innovation, with robustness and endogeneity tests confirming these findings. (2) The development of regional green finance positively moderates this relationship. (3) A mediation analysis reveals that national-level big data policies enhance innovation persistence by alleviating financing constraints, promoting talent aggregation, and facilitating industrial upgrading. (4) The heterogeneity analysis shows that the positive impact of these reforms is more pronounced in non-state-owned, non-heavy polluting firms, those receiving high subsidies, and in regions with stringent environmental regulations. This study offers a novel theoretical perspective on and empirical evidence for digital transformation from the angle of national policy, supporting societal green development and contributing to policy enhancement aimed at achieving sustainable growth.
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