政府(语言学)
风险投资
信息化
业务
投资(军事)
开放的政府
经济
营销
公共经济学
打开数据
政治学
财务
计算机科学
哲学
政治
法学
电信
语言学
作者
Yuqiong Lei,Jun Yang,Z. Liu
标识
DOI:10.1080/17516234.2023.2294620
摘要
Open government data (OGD) is a philosophy advocating for the public release of government-held data to citizens and stakeholders. While numerous countries are increasingly adopting this approach, empirical evidence regarding its impact on entrepreneurial activity remains limited. Our study utilizes a difference-in-differences (DID) approach to rigorously assess the causal effect of OGD on entrepreneurial activity and its underlying mechanisms. Additionally, we employ a machine learning technique, Causal Forest, to delve into the pivotal city characteristics that shape OGD's impact and to assess how these features moderate its effects. Our findings reveal a significantly positive effect of OGD on entrepreneurial activity, primarily driven by its capacity to enhance government efficiency, foster venture capital, and promote technical innovation. Furthermore, we identify sci-tech investment and informatization level as critical city characteristics that positively moderate the impact of OGD.
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