Channels of Corruption in Africa: An Analytical Review and Assessment of Trends in Economic and Financial Crimes

Hope, Kempe Ronald

doi:10.1007/978-3-031-32229-7_3

Corruption, Sustainable Development and Security Challenges in Africa

2023

DOI: 10.1007/978-3-031-32229-7_3

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Channels of Corruption in Africa: An Analytical Review and Assessment of Trends in Economic and Financial Crimes

Kempe Ronald Hope

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2024

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Cited by 2 publications

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Novel intelligent supervised neuro-structures for nonlinear financial crime differential systems

Syed,

Fang,

Kiani

et al. 2024

Mod. Phys. Lett. B

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Artificial intelligence (AI)-based applications contribute to monitoring financial transactions and detect fraudulent activity in real-time by analyzing transaction patterns, consumer behavior, and other statistics, making them essential for quickly addressing potential threats in the fight against financial crime dynamics. Leveraging financial crime systems with intelligent supervised neuro-structures exploiting nonlinear autoregressive exogenous networks integrating damped least square (NARX-DLS) optimization methods to achieve an appropriate degree of accuracy and adaptability for the estimation of complex nonlinear financial crime differential systems (NFCDSs). The representative NFCDS for financial crime indicators is expressed as susceptible individuals, financial criminals, individuals under prosecution, imprisoned individuals, and honest individuals. The Adams numerical solver accomplishes the acquisition of synthetic data for the layer structure NARX-DLS algorithm execution to solve NFCDSs for various financial crime parameters, such as recruitment rate, influence rate, conversion rate to honest people, financial criminal prosecution rate per capita, discharge and acquittal rate from prosecutions, percentage of discharge rate from prosecution, transition rate to prison, and freedom rate. A sturdy overlap between the solutions of NARX-DLSs and the reference numerical results of NFCDSs implies that the error value is close to a desirable value of zero. The effectiveness of the NARX-DLSs is evidenced by including a variety of assessment metrics that carefully examine the model’s correctness and efficacy, including mean square error-based convergence arches, adaptive regulating parameters, error distribution, and input-error/cross-correlation analyses.

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Novel intelligent supervised neuro-structures for nonlinear financial crime differential systems

Syed,

Fang,

Kiani

et al. 2024

Mod. Phys. Lett. B

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Investigating capital flight in South Asian countries: The dual influence of terrorism and corruption

Khan,

Abbass,

Qun

et al. 2024

PLoS ONE

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This specific research initiative aims to intricately examine the intricate dynamics connecting terrorism, corruption, and capital flight within the context of South Asian economies, encompassing countries including Bangladesh, India, Pakistan, and Sri Lanka. The principal objectives of this study entail a comprehensive investigation into the synergistic impacts of terrorism and corruption on the prevalence of capital flight. To realize these objectives, the study employs longitudinal data from 1990 to 2019, adopting the portfolio choice framework as its theoretical underpinning. In terms of methodology, the empirical inquiry uses the Generalized Method of Moments (GMM) estimation technique. The empirical findings derived from this analysis distinctly establish a statistically noteworthy and positive correlation between terrorism, corruption, and the occurrence of capital flight across multiple South Asian nations. In light of these discerning outcomes, it is strongly recommended that the governments of South Asian countries prioritize and actively pursue the fortification of their institutional governance mechanisms. This strategic approach is deemed crucial in efficaciously counteracting the escalation of capital flight. Specifically, a targeted focus on augmenting institutional governance practices, fostering transparency, fortifying anti-corruption measures, and intensifying counterterrorism efforts could collectively contribute to reducing capital flight tendencies. By undertaking these recommendations, South Asian governments can foster an environment of enhanced economic stability, attractiveness for investment, and sustainable growth, thereby deterring the adverse impact of capital flight while concurrently combatting the underlying challenges posed by terrorism and corruption.

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Channels of Corruption in Africa: An Analytical Review and Assessment of Trends in Economic and Financial Crimes

Cited by 2 publications

References 42 publications

Novel intelligent supervised neuro-structures for nonlinear financial crime differential systems

Novel intelligent supervised neuro-structures for nonlinear financial crime differential systems

Investigating capital flight in South Asian countries: The dual influence of terrorism and corruption

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