{"title":"Exploring individuals' socioeconomic characteristics and digital infrastructure determinants of digital payment adoption in Ethiopia","authors":"Adino Andaregie , Gumataw Kifle Abebe , Prashant Gupta , Gardachew Worku , Hideyuki Matsumoto , Tessema Astatkie , Isao Takagi","doi":"10.1016/j.digbus.2024.100092","DOIUrl":null,"url":null,"abstract":"<div><div>The COVID-19 pandemic has spurred a surge in digital payments, with over 40 % of adults in low- and middle-income countries making their first merchant payments using cards, phones, or the internet since the pandemic began. This study examines the determinants of adopting digital payments during the COVID-19 pandemic in Ethiopia. To achieve this objective, the study utilized secondary data from the World Bank's most recent dataset, collected as part of the Global Findex Database 2021. A Covariance Based-Structural Equation Modeling (CB-SEM) was applied to analyze the data and explore the intricate pathways between variables. The mediation role of the use of technological tools on the relationship between socio-economic factors and digital payment adoption was also examined. Accordingly, mobile ownership, having an ATM/Debit card, and internet access were the technological tools significantly determining digital payment adoption. Age, education, income quantile, receiving wage payment, and engagement in formal financial transactions (as a proxy for financial inclusion) were among the socio-economic characteristics influencing digital payment adoption. Engagement in formal financial inclusion, mobile ownership, having an ATM/Debit card, and internet access were also influenced by individuals' socio-economic characteristics. Mobile ownership, having an ATM/Debit card, internet access, and engagement in formal financial transactions were significant mediating factors in the relationship between digital payment and socio-economic predictors.</div></div>","PeriodicalId":100376,"journal":{"name":"Digital Business","volume":"4 2","pages":"Article 100092"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Business","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666954424000206","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
The COVID-19 pandemic has spurred a surge in digital payments, with over 40 % of adults in low- and middle-income countries making their first merchant payments using cards, phones, or the internet since the pandemic began. This study examines the determinants of adopting digital payments during the COVID-19 pandemic in Ethiopia. To achieve this objective, the study utilized secondary data from the World Bank's most recent dataset, collected as part of the Global Findex Database 2021. A Covariance Based-Structural Equation Modeling (CB-SEM) was applied to analyze the data and explore the intricate pathways between variables. The mediation role of the use of technological tools on the relationship between socio-economic factors and digital payment adoption was also examined. Accordingly, mobile ownership, having an ATM/Debit card, and internet access were the technological tools significantly determining digital payment adoption. Age, education, income quantile, receiving wage payment, and engagement in formal financial transactions (as a proxy for financial inclusion) were among the socio-economic characteristics influencing digital payment adoption. Engagement in formal financial inclusion, mobile ownership, having an ATM/Debit card, and internet access were also influenced by individuals' socio-economic characteristics. Mobile ownership, having an ATM/Debit card, internet access, and engagement in formal financial transactions were significant mediating factors in the relationship between digital payment and socio-economic predictors.