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<p>China’s industrial boom has been accompanied by severe environmental pollution. While China is striving for green innovation to tackle pollution, the formulation of policies for boosting such innovation remains underexplored. Therefore, using data of Chinese A-share listed firms from 2009 to 2023, the research exploits the staggered rollout of local government public data open platforms as a quasi-experimental design to test how government public data transparency affects corporate green innovation. The finding suggests that public data openness can facilitate corporate green innovation. Mechanism testing reveals that the capital expansion and cost reduction mechanisms of data elements are pivotal to driving corporate green innovation: they cut transaction and agency costs, expand green investment scale and improve access to green credit for enterprises. Heterogeneity tests indicate a more pronounced green effect of data elements for enterprises with high carbon emissions, under strong intellectual property protection and high environmental regulatory pressure. Additionally, data elements can significantly raise enterprises’ ESG scores. This study sheds light on how governments utilize open data to drive firms to realize green transformation.</p>

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The impact of government data disclosure on corporate green innovation: a quasi-natural experiment of public data openness

  • 期刊论文

  • 发表日期：

    2026年3月21日

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  • Qichen Dong,
  • Junwei Jia,
  • Wenjing Zhao

摘要

China’s industrial boom has been accompanied by severe environmental pollution. While China is striving for green innovation to tackle pollution, the formulation of policies for boosting such innovation remains underexplored. Therefore, using data of Chinese A-share listed firms from 2009 to 2023, the research exploits the staggered rollout of local government public data open platforms as a quasi-experimental design to test how government public data transparency affects corporate green innovation. The finding suggests that public data openness can facilitate corporate green innovation. Mechanism testing reveals that the capital expansion and cost reduction mechanisms of data elements are pivotal to driving corporate green innovation: they cut transaction and agency costs, expand green investment scale and improve access to green credit for enterprises. Heterogeneity tests indicate a more pronounced green effect of data elements for enterprises with high carbon emissions, under strong intellectual property protection and high environmental regulatory pressure. Additionally, data elements can significantly raise enterprises’ ESG scores. This study sheds light on how governments utilize open data to drive firms to realize green transformation.