Govtech against corruption: What are the integrity dividends of government digitalization?

IF 1.8 Q3 PUBLIC ADMINISTRATION Data & policy Pub Date : 2022-11-14 DOI:10.1017/dap.2022.31
C. Santiso
{"title":"Govtech against corruption: What are the integrity dividends of government digitalization?","authors":"C. Santiso","doi":"10.1017/dap.2022.31","DOIUrl":null,"url":null,"abstract":"Abstract Does digitalization reduce corruption? What are the integrity benefits of government digitalization? While the correlation between digitalization and corruption is well established, there is less actionable evidence on the integrity dividends of specific digitalization reforms on different types of corruption and the policy channels through which they operate. These linkages are especially relevant in high corruption risk environments. This article unbundles the integrity dividends of digital reforms undertaken by governments around the world, accelerated by the pandemic. It analyzes the rise of data-driven integrity analytics as promising tools in the anticorruption space deployed by tech-savvy integrity actors. It also assesses the broader integrity benefits of the digitalization of government services and the automation of bureaucratic processes, which contribute to reducing bribe solicitation risks by front-office bureaucrats. It analyzes in particular the impact of digitalization on social transfers. It argues that government digitalization can be an implicit yet effective anticorruption strategy, with subtler yet deeper effects, but there needs to be greater synergies between digital reforms and anticorruption strategies.","PeriodicalId":93427,"journal":{"name":"Data & policy","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data & policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/dap.2022.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
引用次数: 2

Abstract

Abstract Does digitalization reduce corruption? What are the integrity benefits of government digitalization? While the correlation between digitalization and corruption is well established, there is less actionable evidence on the integrity dividends of specific digitalization reforms on different types of corruption and the policy channels through which they operate. These linkages are especially relevant in high corruption risk environments. This article unbundles the integrity dividends of digital reforms undertaken by governments around the world, accelerated by the pandemic. It analyzes the rise of data-driven integrity analytics as promising tools in the anticorruption space deployed by tech-savvy integrity actors. It also assesses the broader integrity benefits of the digitalization of government services and the automation of bureaucratic processes, which contribute to reducing bribe solicitation risks by front-office bureaucrats. It analyzes in particular the impact of digitalization on social transfers. It argues that government digitalization can be an implicit yet effective anticorruption strategy, with subtler yet deeper effects, but there needs to be greater synergies between digital reforms and anticorruption strategies.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
政府科技反腐:政府数字化的廉洁红利是什么?
数字化能减少腐败吗?政府数字化的诚信效益是什么?虽然数字化与腐败之间的相关性已经确立,但关于具体数字化改革对不同类型腐败的廉洁红利及其运作的政策渠道的可操作性证据较少。这些联系在高腐败风险环境中尤为重要。本文揭示了全球各国政府进行的数字化改革带来的诚信红利,疫情加速了这一改革。它分析了数据驱动的完整性分析作为由精通技术的完整性参与者部署的反腐败领域的有前途的工具的兴起。它还评估了政府服务数字化和官僚程序自动化对更广泛的廉洁效益,这有助于降低前台官僚的索贿风险。它特别分析了数字化对社会转移支付的影响。报告认为,政府数字化可以成为一种隐性而有效的反腐败战略,具有微妙而深刻的影响,但数字化改革与反腐败战略之间需要更大的协同效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.10
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊最新文献
Identifying determinants of waste management access in Nouakchott, Mauritania: a logistic regression model Determinants for university students’ location data sharing with public institutions during COVID-19: The Italian case Bus Rapid Transit: End of trend in Latin America? Accelerating and enhancing the generation of socioeconomic data to inform forced displacement policy and response “That is why users do not understand the maps we make for them”: Cartographic gaps between experts and domestic workers and the Right to the City
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1