当前位置: X-MOL 学术Appl. Geogr. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A network understanding of FinTech (in)capabilities in the global South
Applied Geography ( IF 4.0 ) Pub Date : 2021-08-18 , DOI: 10.1016/j.apgeog.2021.102538
Emmanuel Frimpong Boamah 1 , Nadine Shaanta Murshid 2 , Mohammad G.N. Mozumder 3
Affiliation  

This article probes how uneven access to digital financial technologies maps onto and reinforces existing inequalities in the global South. Grounded in Sen's capability approach, it deploys a network science approach to examine emergent factors reinforcing techno-financial inequality or the uneven access to FinTech instruments, such as mobile money (MM) or m-banking services. Focusing on a case study in Dhaka, Bangladesh, our findings suggest that unequal access to MM services is driven by a lack of capability inputs (e.g., low income and savings) needed to access certain goods (e.g., mobile phones). This lack affects and is affected by personal conversion factors (e.g., functional and financial illiteracies), environmental conversion factors within the MM ecosystem (e.g., unreliable MM operators), and socio-cultural practices (e.g., gender norms) within which MM services are embedded. We argue that these factors must be understood and analyzed as a network of converging forces that constrain digital financial capabilities and wellbeing within the peripheries of the global South. This network understanding highlights the need to avoid one-size-fits-all policy interventions, including moving beyond techno-centric paradigms that privilege the proffering of technological fixes: dumping more FinTech instruments into global South markets. Rather, FinTech policy models must recognize and carefully address the intersection of micro and macro factors inhibiting FinTech access in the global South.



中文翻译:

对全球南方金融科技(in)能力的网络理解

本文探讨了数字金融技术的不均衡如何映射并强化了全球南方现有的不平等。它以 Sen 的能力方法为基础,采用网络科学方法来检查加剧技术金融不平等或获取金融科技工具(例如移动货币 (MM) 或移动银行服务)的不均衡的新兴因素。以孟加拉国达卡的案例研究为重点,我们的研究结果表明,获取 MM 服务的不平等是由于缺乏获取某些商品(例如,移动电话)所需的能力投入(例如,低收入和储蓄)所致。这种缺乏影响个人转换因素(例如,功能和金融文盲)、MM 生态系统内的环境转换因素(例如,不可靠的 MM 运营商)和社会文化实践(例如,性别规范),其中嵌入了 MM 服务。我们认为,必须将这些因素理解和分析为一个汇聚力量的网络,这些力量限制了全球南方周边地区的数字金融能力和福祉。这种网络理解强调需要避免一刀切的政策干预,包括超越以技术为中心的范式,优先提供技术修复:将更多金融科技工具倾销到全球南方市场。相反,金融科技政策模型必须认识到并仔细解决阻碍全球南方金融科技准入的微观和宏观因素的交叉点。我们认为,必须将这些因素理解和分析为一个汇聚力量的网络,这些力量限制了全球南方周边地区的数字金融能力和福祉。这种网络理解强调需要避免一刀切的政策干预,包括超越以技术为中心的范式,优先提供技术修复:将更多金融科技工具倾销到全球南方市场。相反,金融科技政策模型必须认识到并仔细解决阻碍全球南方金融科技准入的微观和宏观因素的交叉点。我们认为,必须将这些因素理解和分析为一个汇聚力量的网络,这些力量限制了全球南方周边地区的数字金融能力和福祉。这种网络理解强调需要避免一刀切的政策干预,包括超越以技术为中心的范式,优先提供技术修复:将更多金融科技工具倾销到全球南方市场。相反,金融科技政策模型必须认识到并仔细解决阻碍全球南方金融科技准入的微观和宏观因素的交叉点。包括超越以技术为中心的范式,优先提供技术修复:向全球南方市场倾销更多金融科技工具。相反,金融科技政策模型必须认识到并仔细解决阻碍全球南方金融科技准入的微观和宏观因素的交叉点。包括超越以技术为中心的范式,优先提供技术修复:向全球南方市场倾销更多金融科技工具。相反,金融科技政策模型必须认识到并仔细解决阻碍全球南方金融科技准入的微观和宏观因素的交叉点。

更新日期:2021-08-19
down
wechat
bug