业务
政府(语言学)
数字政府
产业组织
开发(拓扑)
营销
知识管理
过程管理
数字化转型
公共关系
数字经济
数字数据
电子政务
大数据
钥匙(锁)
公司治理
面板数据
商业模式
数据收集
公共经济学
计算机科学
公共政策
电信
参与者-网络理论
互联网
作者
Zhenkun Zhang,Jing Hui Cao,Qi He,Tianquan Jin
标识
DOI:10.1080/13662716.2026.2630354
摘要
Digital Government Development (DGD), a key aspect of modern governance, uses digital technologies and data to promote high-quality economic growth. Based on China’s 2018 big data management reform as a quasi-natural experiment, this study applies a difference-in-differences approach to investigate how DGD affects corporate digital innovation through data network effects. Results indicate that the reform increases the expected number of digital invention patents for a median firm in pilot cities from about 4 to approximately 4.46. DGD, as an external platform node, appears to drive innovation by mandating data network access, reducing R&D manipulation, mitigating information asymmetry, and accelerating digital transformation, aligning with a potential mediation pathway. The effect is stronger in state-owned enterprises, high-tech firms, growing firms, and regions with stricter data privacy protections. Further analysis shows that DGD-driven innovation boosts total factor productivity. By adopting a data network perspective, this study contributes theoretically and practically to understanding governmental transformation in the digital economy.
科研通智能强力驱动
Strongly Powered by AbleSci AI