State and institutional capacity in combating money laundering and terrorism financing in armed conflict
Notice bibliographique
Résumé
Purpose The purpose of this paper is to explore the relationship and implications of institutional autonomy and capacity through the Central Bank of Syria in its ability to implement an effective anti-money laundering (AML) and counter-terrorism financing (CTF) framework during a period of intense armed conflict. Design/methodology/approach Due to the lack of reliable data currently available on Syria, this paper focuses on Syria’s AML/CTF legislation through passed laws and regulations; annual reports on the Central Bank of Syria and the AML and terrorism financing authority; the academic literature on money laundering, terrorist financing and institutional capacity. This paper will address the theoretical framework of Coleman and Skogstad’s characteristics that define the degree of autonomy and capacity of an institution. Though their characteristics are applied toward the Canadian state, for the purpose of this paper, they have been adopted in the absence of their use verbatim in the case of the Central Bank of Syria. Findings The Central Bank of Syria has experienced diminishing independence due to conflict-induced stress in Syria’s financial sector. This loss of autonomy is attributed to the prioritization of government-led emergency policies to secure and stabilize Syria's economy. Despite this loss, the Central Bank of Syria has maintained considerable and effective improvements in Syria’s AML/CTF framework, aligning it closer to that of international standards promoted by the Financial Action Task Force (FATF). Institutional gaps, however, still exist. These gaps imply that the Central Bank of Syria still lags in a number of areas that affect its capability in implementing a more effective AML/CTF framework. Research limitations/implications The conflict in Syria is still a very new topic that lacks a considerable amount of reliable data. As such, many research limitations were encountered despite the volume of information reviewed for this paper in both Arabic and English. Nevertheless, this paper provides a clearer understanding of how state capacity is reflected in its institutions through certain policies and approaches taken by a central monetary authority with implications and results in a country rattled by years of intense conflict. Practical implications Despite the research limitations and implications, this paper provides a clearer understanding of how state capacity is reflected in its institutions through certain policies and approaches taken by a central monetary authority with implications and results in a country rattled by years of intense conflict. This can be useful for institutional policymakers, as well as academics exploring the relationship between the state and its institutions in times of hardship. Originality/value Though there is AML/CTF literature on Middle Eastern countries such as Egypt, Jordan and Saudi Arabia, very little is written on Syria. There is also very little written on the broader subject of state and institutional capacity through the lens of an effective AML and CTF framework during a period of intense armed conflict. By looking at an ongoing conflict, this paper explores a subject with as much detail as needed to provide an illustration of the relationship and implications of institutional autonomy and capacity in relation to the state through an effective AML/CTF framework in a country with a struggling financial system.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,007 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».