Abstract
隨著大數據的迅猛發展,學界越來越關注大數據能否以及如何提升政府的治理水準。目前的研究仍然處於初級階段,這篇文章主要回答了:大數據的應用如何影響腐敗治理。本文以H省開展的互聯網+監督大數據應用作為典型個案,深度訪談和田野調查發現大數據應用能夠有效地提升基層政府的反腐敗效果。大數據應用主要通過兩個機制影響腐敗治理:公開透明以及規則建設。首先,通過數據的收集與共用,大數據技術在公共部門的應用可以實現更有效的社會公開以及政府內部數據的分析與比對,進而更有效地發現腐敗線索。其次,大數據應用與腐敗行為懲處、基層權力監督機制相結合,強化政府的問責機制。通過上述兩個機制,大數據在政府部門的應用提升了政府的政策執行能力以及基層政府腐敗治理水準。
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. Copyright © 2020 暨南大學.
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. Copyright © 2020 暨南大學.
Original language | Chinese (Simplified) |
---|---|
Pages (from-to) | 78-94 |
Journal | 暨南學報 (哲學社會科學版) |
Volume | 2020 |
Issue number | 10 |
Publication status | Published - 2020 |
Citation
鄔彬和肖漢宇(2020):大數據應用與腐敗治理:基於“互聯網+監督”的深度個案研究,《暨南學報 (哲學社會科學版)》,2020(10),頁78-94。Keywords
- 大數據應用
- 政府透明
- 規則建設
- 政策執行能力
- 反腐敗
- Big data application
- Government transparency
- Rule building
- Policy implementation capacity
- Anti-corruption reform
- Alt. title: Big data application and anti-corruption reform: A case study of the Internet+ monitoring platform