Dynamics of inequality, poverty and sustainable development of Delta State, Nigeria

Deinne, Clement Ebizimor; Ajayi, Dickson Dare

doi:10.1007/s10708-019-10068-4

Cited by 10 publications

(11 citation statements)

References 11 publications

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“…For instance, there were higher odds of being insured among individuals with increasing education status in both countries. This, therefore, is a justification of closing the gap of health inequalities and creating frameworks in promoting health equity, and fostering stringent advocacy across all stakeholders in playing a major role in the social contributing factors of health [95][96][97][98][99][100][101]. Education empowers women to look after their own health by seeking appropriate healthcare when they have an ailment.…”

Section: Discussionmentioning

confidence: 99%

A Comparative Cross-Sectional Study of the Prevalence and Determinants of Health Insurance Coverage in Nigeria and South Africa: A Multi-Country Analysis of Demographic Health Surveys

Akokuwebe

Idemudia

2022

IJERPH

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Background: The core Universal Health Coverage (UHC) objectives are to ensure universal access to healthcare services by reducing all forms of inequalities. However, financial constraints are major barriers to accessing healthcare, especially in countries such as Nigeria and South Africa. The findings of this study may aid in informing and communicating health policy to increase financial access to healthcare and its utilization in South Africa and Nigeria. Nigeria-South Africa bilateral relations in terms of politics, economics and trade are demonstrated in the justification of the study setting selection. The objectives were to estimate the prevalence of health insurance coverage, and to explore the socio-demographic factors associated with health insurance in South Africa and Nigeria. Methods: This was a cross-sectional study using the 2018 Nigeria Demographic Health Survey and the 2016 South Africa Demographic Health Survey. The 2018 Nigeria Demographic Health Survey data on 55,132 individuals and the 2016 South Africa Demographic Health Survey on 12,142 individuals were used to investigate the prevalence of health insurance associated with socio-demographic factors. Percentages, frequencies, Chi-square and multivariate logistic regression were e mployed, with a significance level of p < 0.05. Results: About 2.8% of the Nigerian population and 13.3% of the South African population were insured (Nigeria: males—3.4%, females—2.7% vs. South Africa: males—13.9%, females—12.8%). The multivariate logistic regression analyses showed that higher education was significantly more likely to be associated with health insurance, independent of other socio-demographic factors in Nigeria (Model I: OR: 1.43; 95% CI: 0.34–1.54, p < 0.05; Model II: OR: 1.34; 95% CI: 0.28–1.42, p < 0.05) and in South Africa (Model I: OR: 1.33; 95% CI: 0.16–1.66, p < 0.05; Model II: OR: 1.76; 95% CI: 0.34–1.82, p < 0.05). Respondents with a higher wealth index and who were employed were independently associated with health insurance uptake in Nigeria and South Africa (p < 0.001). Females were more likely to be insured (p < 0.001) than males in both countries, and education had a significant impact on the likelihood of health insurance uptake in high wealth index households among both male and females in Nigeria and South Africa. Conclusion: Health insurance coverage was low in both countries and independently associated with socio-demographic factors such as education, wealth and employment. There is a need for continuous sensitization, educational health interventions and employment opportunities for citizens of both countries to participate in the uptake of wide health insurance coverage.

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Section: Discussionmentioning

confidence: 99%

A Comparative Cross-Sectional Study of the Prevalence and Determinants of Health Insurance Coverage in Nigeria and South Africa: A Multi-Country Analysis of Demographic Health Surveys

Akokuwebe

Idemudia

2022

IJERPH

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“…Moreover, together with India and China, Nigeria is expected to account for 37% of the projected 2.5 billion increase in global urban population between and 2050(United Nations, 2019. Urbanization in Nigeria is characterized by a high level of socioeconomic inequalities (Akerele et al, 2012;Deinne & Ajayi, 2021). A continuous unabated influx of people to urban centers with limited socioeconomic opportunities has led to a rise in unemployment, crimes, pollution, overcrowding, and acute housing problem with attendant pressure on limited and collapsing infrastructure (Aliyu & Amadu, 2017;Amao, 2012;Momoh et al, 2018;Oyeleye, 2013).…”

Section: Introductionmentioning

confidence: 99%

Urbanization and Child Health Outcomes in Nigeria

Jemiluyi

2021

JPSS

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Against the rising trend of urbanization in Nigeria and the accompanying dramatic changes in the urbanization process, this study explores the health advantage of urbanization in Nigeria. The study specifically examines the relationship between various child health outcomes. Secondary data on neonatal, infant, and under-5 mortalities were used to measure child health outcomes. By obtaining cointegration among the collected data, the study investigates the long-run relationships between the degree of urbanization and the various child health outcomes using the Fully Modified Ordinary Least Squares(FM-OLS) estimator. The results suggest the existence of positive relationships between urbanization and child health indicators. In particular, the results show that there exist child health advantages of urbanization, with urbanization having reducing impacts on the mortality indicators. Also, public health expenditure, literacy rate, and health aids are negatively correlated with measures of children mortality. In all the estimated models, the economic growth proxy by Gross Domestic Product (GDP) has an insignificant effect on all the measures of child health outcomes. The result implies the need to pay attention to the urbanization process for an effective health plan.

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“…The LQ method is static which only provides an overview at a certain time, so to overcome the weaknesses of this method, the Dynamic Location Quotient (DLQ) method is used with the following formulation (Deinne and Ajayi, 2021).…”

Section: ⁄ ⁄mentioning

confidence: 99%

Analysis of Revenue Inequality and Development of Leading Economic Sectors of District and City in Banten Province, Indonesia

Mulia¹,

Setiawan

Kalfin

2021

IJRCS

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The imbalance of inter-regional economic development is a common phenomenon that occurs in the process of economic development of a region. This interregional inequality was originally caused by differences in natural resource content and differences in demographic conditions in each region. As a result of these differences, the ability of an area to increase economic growth and encourage the development process also becomes different. Therefore, it is not surprising that in every region there is usually a relatively developed region and a relatively underdeveloped region. This study aims to analyze how big the level of income inequality that occurs between regencies/cities in Banten Province. Identifying the base sector in each district/city in Banten Province, and predicting the base sector in the future in each Regency/City of Banten Province. Data used in this study is secondary data in the form of time series data to see Developments and changes that occur over a period of time. Data analysis used in this research is Location Quotient (LQ), Dynamic Location Quotient (DLQ), Williamson and Thiel Index. The results of this study are inequality that occurred in Banten is measured by using Williamson Index included in the category of Medium Inequality. On the measurement of Thiel Entropy Index, inequality in Lebak Regency is the lowest and Kota Cilegon has the highest imbalance in Banten Province.

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Dynamics of inequality, poverty and sustainable development of Delta State, Nigeria

Cited by 10 publications

References 11 publications

A Comparative Cross-Sectional Study of the Prevalence and Determinants of Health Insurance Coverage in Nigeria and South Africa: A Multi-Country Analysis of Demographic Health Surveys

A Comparative Cross-Sectional Study of the Prevalence and Determinants of Health Insurance Coverage in Nigeria and South Africa: A Multi-Country Analysis of Demographic Health Surveys

Urbanization and Child Health Outcomes in Nigeria

Analysis of Revenue Inequality and Development of Leading Economic Sectors of District and City in Banten Province, Indonesia

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