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All Journal ALSYS : Jurnal Keislaman dan Ilmu Pendidikan Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art ALSYSTECH Journal of Education Technology Mikailalsys Journal of Mathematics and Statistics Educational Researcher Journal African Multidisciplinary Journal of Sciences and Artificial Intelligence Open Access DRIVERset Kwaghe International Journal of Sciences and Technology Open Access DRIVERset
Idi, Danjuma
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A Statistical Analysis of Attitudinal Changes Towards Female Breadwinners in Wukari Local Government Area Mathew, Stephen; Idi, Danjuma; Dangana, Blessing
ALSYS Vol 4 No 5 (2024): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsys.v4i5.3581

Abstract

This study carried out a statistical analysis of attitudinal changes towards female breadwinners in Wukari Local Government Area, Taraba State, Nigeria. Using a survey research method, a sample of 400 were examined. Primary data were collected using structured questionnaire and analysed using frequency counts and simple percent. Hypothesis were tested using the chi-square statistic. The findings reveal that a significant proportion of respondents recognize the importance of defining roles and responsibilities within the family, acknowledging the potential impact of female breadwinners on traditional family structures. Additionally, a notable portion of respondents agree that female breadwinners face financial and other challenges. Also, the findings reveal a significant shift in gender roles, driven by economic opportunities, social dynamics, and cultural norms. Hypothesis testing further demonstrates a significant increase in female breadwinners in the area, attributed to economic, social, and cultural factors. The study concludes by emphasizing the need for understanding and recommends awareness programs, policy interventions, educational initiatives in Wukari LGA.
Modeling and Inference of Insurance Sector Development on Nigeria Economic Growth Idi, Danjuma; Stephen, Mathew
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.
Modeling and Inference of Insurance Sector Development on Nigeria Economic Growth Idi, Danjuma; Stephen, Mathew
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 Stephen, Mathew; Idi, Danjuma
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.
A Single-Equation ECM Model of Government’s Investment in Human Capital and Income Inequality in Nigeria Stephen, Mathew; Idi, Danjuma
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 Ahmed, Abdullahi Hussain Akobi, Clement BAMIGBALA, Olateju Alao Dangana, Blessing David, Ikwuoche John Karim, Oba Abdulkadir Mathew, Stephen Michael, Ibrahim Ogunmola, Adeniyi Oyewole Onowuzou, James Oruarooghene Stephem, Mathew Stephen, Mathew Yusuf, Shadrach