Combating the crimes of money laundering and terrorism financing in Nigeria: a legal approach for combating the menace
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Notice bibliographique
Résumé
Purpose This study aims to investigate the Federal Government’s failure to combat money laundering and terrorism financing and the various hurdles to enforce the Money Laundering (Prohibition) Act, 2012 (as amended), effectively, which prohibits illegal earnings criminally induced investments in and out of Nigeria. This has had an impact on the country’s economic potential and its image in the international community. Despite many anti-corruption laws criminalising money laundering and terrorism financing, it is rated among the nations with the highest poverty index despite its immense natural resources. Design/methodology/approach This study uses a conceptual legal method to help a doctrinal library-based investigation by using existing material. This study also makes use of main and secondary legislation, such as the Constitution, the Money Laundering (Prohibition) (Amended) Act 2012 and the Terrorism (Prevention) Act 2013 (as amended), as well as case law, international conventions, textbooks and peer-reviewed publications. A comparison of anti-money laundering legislation in Canada, the UK, Hong Kong, China and Nigeria was conducted, with lessons learned for Nigeria’s anti-money laundering and anti-terrorism financing laws. According to the findings, the Act is silent on the criminal use of legitimate earnings to fund terrorism and cultism. Findings There is no well-defined legal framework for asset recovery and confiscation. In Nigeria’s legal system, this evident void must be addressed immediately. To supplement existing efforts to prevent money laundering, the research develops a hybrid model that incorporates the inputs of government representatives and civil society organisations. This study suggests a complete revision of the Act to eliminate ambiguity and focus on the goals of global anti-money laundering and anti-terrorist funding restrictions. Research limitations/implications One of the limitations of this study is the paucity of literature and data on money laundering and terrorist financing in Nigeria due to the secrecy around the crimes, which do not give room for the collection of statistical data and due to the transactional nature of the crimes. This is not to submit that no attempts have been made in the past or recent times to quantify the global value of money laundering and its effects on Nigeria’s economy. Such attempts have been inconclusive and inaccurate. Practical implications The dearth of records on the magnitude of money laundering in Nigeria has limited generalising the research findings due to the limited access to some required information. However, this study is suitable for adoption in other sectors of the economy in dealing with clandestineness in money laundering and terrorism financing. Future researchers are commended to use the quantitative assessment method to appraise the effects of money laundering and terrorist financing laws and policies in Africa to supplement the current literature in the field. Originality/value The research develops a hybrid model that incorporates the inputs of government representatives and civil society organisations. This study suggests a complete revision of the Act to eliminate ambiguity and focus on the goals of global anti-money laundering and anti-terrorist funding restrictions.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle