随着大数据的迅猛发展,学界越来越关注大数据能否以及如何提升政府的治理水平。目前的研究仍然处于初级阶段,这篇文章主要回答了:大数据的应用如何影响腐败治理。本文以H省开展的互联网+监督大数据应用作为典型个案,深度访谈和田野调查发现大数据应用能够有效地提升基层政府的反腐败效果。大数据应用主要通过两个机制影响腐败治理:公开透明以及规则建设。首先,通过数据的收集与共享,大数据技术在公共部门的应用可以实现更有效的社会公开以及政府内部数据的分析与比对,进而更有效地发现腐败线索。其次,大数据应用与腐败行为惩处、基层权力监督机制相结合,强化政府的问责机制。通过上述两个机制,大数据在政府部门的应用提升了政府的政策执行能力以及基层政府腐败治理水平。

With the rapid development of the big data, studies have increasingly focused on the impact of the big data on governance in the public sector. Nevertheless, the research is still in infancy. This study aims to answer how big data applications change anti-corruption reforms. Taking a typical case of big data application in a province as an example and employing in-depth interviews and fieldwork as empirical evidence, this research reveals that big data application can effectively reduce corruption at the grassroots level. Moreover, this research identifies two important mechanisms through which the application of big data could reduce corruption, namely government transparency and rule building. Firstly, through big data collection and sharing, big data application can effectively enhance transparency to society and improve the information sharing, analysis and comparison among government departments, thereby increasing the possibility to detect corruption. Secondly, the integration of big data technology into the anti-corruption enforcement and power supervision at the grassroots level strengthens accountability mechanisms. As a result, big data application in public sector has enhanced policy implementation capacity and anti-corruption enforcement at the grassroots level.