Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Why money laundering is nurtured in Ethiopia?

Domain:

peace and security
Creator:
Mes
Publisher:
Eme
Host:
Purpose The purpose of this paper is to examine the divers and facilitators of money laundering in Ethiopia. Specifically, it looks at the risk factors that existed in the country’s economic and political system, which provide an appealing environment for money laundering to grow. Design/methodology/approach This qualitative study relies on primary data generated from interviewees drawn from the National Bank of Ethiopia, Ethiopian Financial Intelligence Center, Ethiopian Customs Commission, selected financial institutions and certain non-financial businesses and professions and law enforcement agencies, as well as secondary data from government reports, media press, statutes and other online and offline sources. Findings This study finds that the risk factors for the growth of money laundering in Ethiopia are highly reliant on the country’s economic and political system. Accordingly, the nature of Ethiopia’s economy, which is cash-intensive, loosely regulated economic growth and the raise associated criminality, the development of underground banking activities, scarcity of foreign currency reserves and the existence of societal demand for illicit goods and services are all risk factors for the growth of money laundering. The raise of an elite cartel model type of systematic corruption, limited institutional capacity to prevent and suppress money laundering and the absence of a national identity card system are also identified as risk factors for the rife of money laundering in Ethiopia. Moreover, the geopolitical location of the country, its porous borders, limited cross-border cooperation and information sharing add further fuel to the vulnerability of the country to money laundering and associated predicate offense. Originality/value To the best of the author’s knowledge, this paper provides a first-of-its-kind analytical perspective on the risk factors for the raise of money laundering in Ethiopia.

Visit

doi.org

Languages

Amharic

Licenses

https://www.emerald.com/insight/site-policies

Similar

ANTI-MONEY LAUNDERING AND COMBATING THE FINANCING OF TERRORISM: IS THE ACCOUNTING SYSTEM EFFECTIVEDetecting Money Laundering in Rwandan Mobile Money: A Machine Learning FrameworkCryptocurrency-Linked Money Laundering in Kenya: Emerging Trends, Forensic Challenges, and Implications for Law Enforcement Cryptocurrency-Linked Money Laundering in KenyaThe taxing business of money laundering: South AfricaCorruption, money laundering and Nigeria’s crisis of developmentLEVERAGING MACHINE LEARNING FOR PROACTIVE MONEY LAUNDERING DETECTION IN NIGERIA

ANTI-MONEY LAUNDERING AND COMBATING THE FINANCING OF TERRORISM: IS THE ACCOUNTING SYSTEM EFFECTIVE

The study achieved its objective of evaluating the contribution of accounting practices to AML/CFT c

Detecting Money Laundering in Rwandan Mobile Money: A Machine Learning Framework

Mobile money has widened financial access across Sub-Saharan Africa and enlarged the surface for mon

Cryptocurrency-Linked Money Laundering in Kenya: Emerging Trends, Forensic Challenges, and Implications for Law Enforcement Cryptocurrency-Linked Money Laundering in Kenya

Cryptocurrency-Linked Money Laundering in Kenya: Emerging Trends, Forensic Challenges, and Implicati

The taxing business of money laundering: South Africa

Purpose The OECD recently identified tax crime as one of the top three sources of money laundering.

Corruption, money laundering and Nigeria’s crisis of development

Purpose The purpose of this paper is to demonstrate the congruence between Nigeria’s unremitting r

LEVERAGING MACHINE LEARNING FOR PROACTIVE MONEY LAUNDERING DETECTION IN NIGERIA

This paper examined the effectiveness of machine learning (ML) Models for the ongoing war against mo