Socio-Demographic Determinants of Poverty in Nigeria and its Gender Differentials

Buba, Abdullahi; Abdu, Musa; Idi, Adamu; Jibir, Adamu

doi:10.19044/esj.2018.v14n14p236

Cited by 7 publications

(12 citation statements)

References 14 publications

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“…The conclusion of this study showed that an increase in the dependency rate in the household increased the occurrence of poverty. Buba, Abdu, Adamu, and Jibir (2018) determined the socio-economic and demographic factors of poverty in Nigeria. The outcomes of this research showed that the age of household's head, education, Members in the family, household income, level of employment and women as household head were reducing poverty.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy, Communication, Health, Irrigation and Security Infrastructure and its impact on Household Poverty in Pakistan: A Case Study of District Rajanpur, Punjab

Bashir

Nasim

Ahmad

et al. 2021

Pak. J. Humanit. Soc. Sci

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Infrastructure plays a pivotal role in economic development and for reduction of Households Poverty. The present study aims at investigating the effect of various kinds of infrastructure like Energy, Communication, Health, Irrigation, and Security on Households Poverty in one of the most under-developed districts of Pakistan namely Rajanpur. The survey was conducted for this purpose in the rural and urban areas and the researchers were successful to collect primary data from 300 households. The outcome of logistic regression suggests that Infrastructure in its various kinds i.e. Energy, Communication, Health, Irrigation, and Security are found as sources of lower Households Poverty. Moreover, Age, Education, Income, and value of assets tend to reduce Households poverty while Households poverty is increasing due to large family size and in urban areas of District Rajanpur. It is suggested that Government should give special attention to the provision of 5G internet technologies, access to clean drinking water, and disbursal of soft loans for the solar systems for the under-developed districts of Pakistan.

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Section: Literature Reviewmentioning

confidence: 99%

Energy, Communication, Health, Irrigation and Security Infrastructure and its impact on Household Poverty in Pakistan: A Case Study of District Rajanpur, Punjab

Bashir

Nasim

Ahmad

et al. 2021

Pak. J. Humanit. Soc. Sci

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“…This reflects burdens of supporting more dependents and effects of diseconomies of scale. Many studies also find that households headed by females (Mohammed and Ab-Rahim, 2021), unmarried individuals (Bersisa and Heshmat, 2021), less educated members, or unemployed members face higher odds of poverty (Reyes et al, 2004;Buba et al, 2018;Neway and Massresha, 2022). Lack of income earners and human capital constrain livelihood options (Mwaipopo, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Household Poverty: Identification Using Logistic Regression

Larbi Cherif,

Badreddine,

Sabri

2024

SEC

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The fight against poverty is considered one of the most critical tasks in achieving sustainable development goals. This study aims to identify the key determinants of household poverty in Algeria. The information base is data from the Sixth Cluster Survey (MICS 6) conducted by the National Statistics Office during 2018-2019 with a sample of 31,325 households in each province, which are divided into three groups (poorest, poor, non-poor) using a well-being index, which is based on the data about household assets and living conditions. Polynomial logistic regression was used to model the correlation between the poverty status of households and various demographic (household size, gender, age and education level of the head of the household), socio-economic (employment of the head of the household) and spatial (place of residence (urban/rural), region) characteristics. The results showed that a higher level of education of the head of the household significantly increased the probability of households moving from the “poorest” to the “poor” or “non-poor”. As the age of the household head increases, the likelihood that the household will be non-poor increases. The gender of the head of the household was not a statistically significant factor. The increase in the number of dependents as a factor of creating additional financial pressure and falling into poverty is essential only in a situation of a very drastic change in status – when moving from the status of “non-poor” to “the poorest”. In contrast, a slight change in well-being (a shift from “poor” to “poorest”) is not associated with an increase in the number of household members. Modeling showed that extreme poverty is more common in rural areas than in cities. Regional differences are also revealed, as the poverty level is higher in the southern regions than in the northern ones. The slight increase in household welfare (transition from the category of “poorest” to “poor”) in Algeria is not due to the economic activity of the head of the household. Still, it may be related to the nature of the analyzed data (only the fact of employment was considered without specifying the nature and type of activity). Instead, a significant change in welfare (moving from the category of “non-poor” to “poorest” households) directly depends on whether the head of the household is employed or unemployed. The results of the study are essential in the context of the development of a targeted policy to reduce the poverty risks of Algerian households: increasing the level of education and skills should be a priority, especially for young people and in disadvantaged regions, targeted programs for the development of rural areas and mechanisms for the fair distribution of public investments between provinces are needed to overcome regional disproportions.

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“…higher the proportion of graduates from broken homes the greater the likelihood of having manpower shortfalls that will be employed in various critical sectors of the economy which in turn will lead to the non-realization of developmental goals of northern Nigeria in particular and the country in general (Buba et al, 2018;Ferguson et al, 2007;Jibir et al, 2022). Hence, if the problem of a broken home is left unabated it has the potential of leading to unbalanced growth and development in Nigeria.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

“…This is crucial because the region has the lowest school enrolment and is lagging in terms of literacy rate in contrast with the southern region of the country (UNICEF, 2017) and it constitutes one of the perceived factors discriminating against girl child education. The findings from the study may have significant implications on labor market participation as business enterprises' productivity is a function of skilled and semi-skilled labor (Jibir, Abdu, & Buba, 2022) increase labor income is believed to be among the factors that are capable of reducing the alarming rate of chronic poverty and inequality in disadvantage areas like the northern region (Buba, Abdu, Adamu, & Jibir, 2018;Ferguson, Bovaird, & Mueller, 2007;Mihai, Ţiţan, & Manea, 2015;Suryadarma & Suryahadi, 2010) and can pave way for brighter living standard and overall economic stability.…”

Section: Introductionmentioning

confidence: 97%

Broken home, sexual harassment, and educational outcome: Evidence from higher institutions in Nigeria

Buba

Idi

Salisu

et al. 2023

gjss

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We examine the effects of broken-home and sexual harassment on the educational performance of undergraduate students of some selected universities in northern Nigeria. Data for the study was collected using an online survey form (google form) which was distributed to the targeted participants through email, WhatsApp, and Facebook respectively. Relevant information on variables of interest for the study was collected from 6 tertiary institutions consisting of one Federal and one State University each from the 3 geopolitical zones of northern Nigeria. Overall, 178 undergraduate students who are in the final year of their program voluntarily participated in the survey and the data was analysed using ordered logistic regression analysis. We find a negative effect between broken home and educational performance whereas, though there exists a negative effect between sexual harassment and educational performance but it is found to be not statistically different from zero. We control for parental socioeconomic status and the demographic characteristics of the students. Based on empirical findings from the study we conclude that broken home has serious negative effects on students’ academic performance. Evidence from the study have both short-run and long-run implications on the Nigerian economy; the long-run implications also have two negative broad dimensions in form of labor market participation and gross reward for labor which may impede growth and development in the long run. Hence, the need for strategic interventions by relevant stakeholders.

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Socio-Demographic Determinants of Poverty in Nigeria and its Gender Differentials

Cited by 7 publications

References 14 publications

Energy, Communication, Health, Irrigation and Security Infrastructure and its impact on Household Poverty in Pakistan: A Case Study of District Rajanpur, Punjab

Energy, Communication, Health, Irrigation and Security Infrastructure and its impact on Household Poverty in Pakistan: A Case Study of District Rajanpur, Punjab

Determinants of Household Poverty: Identification Using Logistic Regression

Broken home, sexual harassment, and educational outcome: Evidence from higher institutions in Nigeria

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