Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
https://doi.org/10.2139/ssrn.6...
Article . 2026 . Peer-reviewed
Data sources: Crossref
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

Digital Financial Colonialism?

Authors: Mhlanga, David;

Digital Financial Colonialism?

Abstract

Digital finance is widely promoted as a pathway to financial inclusion, economic empowerment, and development across the Global South. This paper challenges such narratives by arguing that fintech-led inclusion has generated a new form of structural dependency best described as Digital Financial Colonialism. Drawing on theories of data colonialism, surveillance capitalism, and critical political economy, the paper conceptualises how externally owned digital financial infrastructures enable data extraction, algorithmic governance, and the erosion of economic and data sovereignty. It develops a conceptual framework identifying three core mechanisms: data extraction and external value capture, algorithmic governance of credit and risk, and structural dependency arising from platform dominance. The analysis demonstrates that inclusion focused primarily on access, without ownership, data rights, and regulatory capacity, risks reproducing extractive relationships in digital form. The paper concludes that digital financial inclusion, if poorly governed, may deepen inequality and constrain policy autonomy, and calls for development strategies that prioritise data sovereignty, algorithmic accountability, and domestic institutional capacity.

Keywords

Data colonialism, Algorithmic governance, Political economy, Digital finance, Financial inclusion

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green