Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data

Emily L. Aiken, Viraj Thakur, J. Blumenstock
{"title":"Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data","authors":"Emily L. Aiken, Viraj Thakur, J. Blumenstock","doi":"10.1145/3530190.3534796","DOIUrl":null,"url":null,"abstract":"Phone sharing is pervasive in many low- and middle-income countries, affecting how millions of people interact with technology and each other. Yet there is very little quantitative evidence available on the extent or nature of phone sharing in resource-constrained contexts. This paper provides a comprehensive quantitative analysis of demographic variation in phone sharing patterns in Togo, and documents how a large cash transfer program during the COVID-19 pandemic impacted sharing. We analyze mobile phone records from the entire Togolese mobile network to measure the movement of SIM cards between SIM card slots (often on different mobile devices). By matching phone sharing measures derived from SIM reshuffling to demographic data from a government-run cash transfer program covering hundreds of thousands of individuals, we find that phone sharing is most common among women, young people, and people in rural areas. We also leverage randomization in the cash transfer program to find that the delivery of cash aid via mobile money significantly increases phone sharing among beneficiaries. We discuss the limitations of measuring phone sharing with mobile network data and the implications of our results for future aid programs delivered via mobile money.","PeriodicalId":257424,"journal":{"name":"ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3530190.3534796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Phone sharing is pervasive in many low- and middle-income countries, affecting how millions of people interact with technology and each other. Yet there is very little quantitative evidence available on the extent or nature of phone sharing in resource-constrained contexts. This paper provides a comprehensive quantitative analysis of demographic variation in phone sharing patterns in Togo, and documents how a large cash transfer program during the COVID-19 pandemic impacted sharing. We analyze mobile phone records from the entire Togolese mobile network to measure the movement of SIM cards between SIM card slots (often on different mobile devices). By matching phone sharing measures derived from SIM reshuffling to demographic data from a government-run cash transfer program covering hundreds of thousands of individuals, we find that phone sharing is most common among women, young people, and people in rural areas. We also leverage randomization in the cash transfer program to find that the delivery of cash aid via mobile money significantly increases phone sharing among beneficiaries. We discuss the limitations of measuring phone sharing with mobile network data and the implications of our results for future aid programs delivered via mobile money.
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
多哥的手机共享和现金转移:来自手机数据的定量证据
手机共享在许多低收入和中等收入国家很普遍,影响着数百万人与技术以及彼此之间的互动。然而,在资源有限的情况下,关于手机共享的程度或性质的定量证据很少。本文对多哥手机共享模式的人口差异进行了全面定量分析,并记录了2019冠状病毒病大流行期间的大规模现金转移支付计划如何影响手机共享。我们分析了来自整个多哥移动网络的移动电话记录,以测量SIM卡槽之间SIM卡的移动(通常在不同的移动设备上)。通过将SIM卡重组所得的手机共享指标与政府运营的覆盖数十万人的现金转移支付项目的人口统计数据相匹配,我们发现,手机共享在女性、年轻人和农村地区的人群中最为普遍。我们还利用现金转移计划中的随机化,发现通过移动货币提供现金援助显著增加了受益人之间的电话共享。我们讨论了用移动网络数据衡量手机共享的局限性,以及我们的结果对未来通过移动货币提供的援助项目的影响。
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
自引率
0.00%
发文量
0
期刊最新文献
NOTE: Unavoidable Service to Unnoticeable Risks: A Study on How Healthcare Record Management Opens the Doors of Unnoticeable Vulnerabilities for Rohingya Refugees Making AI Explainable in the Global South: A Systematic Review Note: A Sociomaterial Perspective on Trace Data Collection: Strategies for Democratizing and Limiting Bias Complexity of Factor Analysis for Particulate Matter (PM) Data: A Measurement Based Case Study in Delhi-NCR Note: Urbanization and Literacy as factors in Politicians’ Social Media Use in a largely Rural State: Evidence from Uttar Pradesh, India
×
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