Constructing a FinTech Adoption Index for BRICS+ Economies: Evidence from Principal Component Analysis
Using Principal Component Analysis (PCA), this study creates a composite FinTech Adoption Index for eleven BRICS+ economies between 2006 and 2024. The index captures key dimensions of financial and digital infrastructure through four indicators: Automated Teller Machines (ATMs) per 100,000 adults, mobile cellular subscriptions per 100 people, fixed broadband subscriptions per 100 people, and individuals using the internet as a percentage of the population. The World Development Indicators (WDI) database is the source of data for every indicator. The BRICS+ economies differ significantly from one another in terms of the development of digital and financial infrastructure, as shown by descriptive statistics. The correlation analysis indicates moderate-to-strong positive relationships among all four indicators, supporting their suitability for PCA. The findings demonstrate a distinct upward trend in FinTech adoption throughout the BRICS+ economies between 2006 and 2024, emphasising the growing contribution of financial infrastructure and digital connectivity to the advancement of financial technology.
Authors
- Aarav Jain
- Samarth Agarwal (ORCID: https://orcid.org/0009-0002-9936-5896)
- Chaitra Anthaiahgari
Publication Details
- Journal
- American Journal of Applied Statistics and Economics
- Published
- 2026-11-06
- DOI
- https://doi.org/10.54536/ajase.v5i2.8782
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 0.00