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All Journal African Multidisciplinary Journal of Sciences and Artificial Intelligence Kwaghe International Journal of Sciences and Technology
Danjuma Idi
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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Modeling and Inference of Insurance Sector Development on Nigeria Economic Growth Danjuma Idi; Mathew Stephen
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v1i1.3534

Abstract

This empirical study investigated the impact of insurance sector development on economic growth in Nigeria, covering the period 1999-2022. Utilizing statistical techniques, including Augmented Dickey-Fuller (ADF) tests, regression modeling, Lagrange multiplier (LM) tests, and the Breusch-Pagan-Godfrey test for heteroskedasticity, the study revealed critical insights into the dynamic relationship between insurance sector and economic performance. The ADF test results indicated that the data series were stationary after differencing, confirming an integrated order of one (I(1)). The regression analysis revealed a statistically significant positive impact of total insurance investment (TII) on economic growth in Nigeria, with a coefficient estimate of 0.753 (p < 0.01). Conversely, no significant relationship was found between total claims paid by insurance companies and economic growth in Nigeria, with a coefficient estimate of 0.033 (p > 0.05).Diagnostic tests revealed no evidence of serial correlation in residuals at lag 1, indicating no systematic pattern, and no significant heteroskedasticity was detected, signifying no systematic variance in residuals with changes in independent variables. Based on these findings, the study recommends that policymakers prioritize implementing measures to enhance the regulatory environment and promote innovation within the insurance industry, among other policy implications.
A Single-Equation ECM Model of Government’s Investment in Human Capital and Income Inequality in Nigeria Mathew Stephen; Danjuma Idi
Kwaghe International Journal of Sciences and Technology Vol 1 No 1 (2024): Kwaghe International Journal of Sciences and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/kijst.v1i1.3572

Abstract

This study investigates the impact of government investment in human capital on income inequality in Nigeria using a Single-Equation Error Correction Model (ECM) approach from 1985 to 2023. The analysis involves pre-estimation checks for stationarity and lag order selection, ensuring the methodological robustness of the model. The results indicate stationarity of the variables post-differencing, affirming the reliability of the model. The Parsimonious ECM reveals that increased education expenditure significantly reduces income inequality coefficient of -0.099 (p < 5%), while higher agricultural spending coefficient of 0.078 (p < 5%) leads to a slight rise in inequality. Health expenditure shows no significant impact. The Error Correction Mechanism coefficient of -0.471 (p < 5%) highlights the importance of addressing deviations from long-term equilibrium to reduce income inequality. This study recommends amongst others the significance of targeted policies for education and sustainable agriculture to promote equitable income distribution and economic stability in Nigeria.
Co-Authors Mathew Stephen