Socio-demographic characteristics of digital financial services users: Evidence from Serbia

Isidora Ljumović, Krsto Jakšić, Slaviša Trajković
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引用次数: 2

Abstract

Given the importance of digital financial services on financial inclusion, the authors examined the socio-demographic characteristics of users of digital financial services in the Republic of Serbia. The authors hypothesized that age, education, employment, and income are key socio-demographic characteristics that have influenced digital financial services. The Global Findex database of the World Bank was used to analyze the socio-demographic characteristics of digital financial service users in the Republic of Serbia, with a sample of 1000 inhabitants older than 15 years. To test differences between the analyzed characteristics, a t-test was applied using SPSSv25. The results show a difference among most of the analyzed characteristics. Socio-demographic characteristics, apart from gender and income, are statistically significant. The results show a statistically significant difference in the age of users of digital financial services and non-users of digital financial services. Also, users of digital financial services are highly educated and more often employed. Based on the results, it can be concluded that the average user of digital financial services is younger, more educated, more often employed and uses various banking services, such as credit and debit cards, savings and borrowing more often than non-users of these services.
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数字金融服务用户的社会人口特征:来自塞尔维亚的证据
鉴于数字金融服务对普惠金融的重要性,作者研究了塞尔维亚共和国数字金融服务用户的社会人口特征。作者假设年龄、教育、就业和收入是影响数字金融服务的关键社会人口特征。使用世界银行的全球金融指数数据库分析塞尔维亚共和国数字金融服务用户的社会人口特征,样本为1000名15岁以上的居民。为了检验所分析特征之间的差异,使用SPSSv25进行t检验。结果表明,所分析的大多数特征之间存在差异。除性别和收入外,社会人口特征在统计上也很显著。结果显示,数字金融服务用户和非数字金融服务用户的年龄存在统计学上的显著差异。此外,数字金融服务的用户受过高等教育,而且经常有工作。根据结果,可以得出结论,数字金融服务的平均用户更年轻,受教育程度更高,更经常就业,并且使用各种银行服务,如信用卡和借记卡,储蓄和借贷比非这些服务的用户更频繁。
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来源期刊
Ekonomika Vilniaus Universitetas
Ekonomika Vilniaus Universitetas Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.40
自引率
0.00%
发文量
15
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