An examination of the causes of poverty on economic growth in Nigeria

Omoniyi, Benjamin

doi:10.4102/apsdpr.v6i1.175

Cited by 14 publications

(11 citation statements)

References 4 publications

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“…In terms of Head Count Ratio, the relationship between GDP and poverty was found to be deterministic because for each value of the independent variable (GDP growth rate) there is one and only one corresponding value of dependent variable (HCR). In Nigeria, Omoniyi (2018) examined the relationship between poverty and economic growth, the determinants of economic growth and poverty from 1980 to 2013 using an error correction model to analyse the time series data. The study revealed that economic growth has a negative and significat relationship with poverty.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing Poverty in South Africa: Time Series Analysis

Dagume

2021

IJEFI

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Poverty is an emerging issue that is being debated upon in both developed and developing countries, including South Africa. This research investigates the factors that affect poverty in South Africa, as well as the theoretical connections between poverty and the country's key macroeconomic variables using annual time series data for 1996-2019. The stationarity test found that some variables were not stationary at the level but were after first differencing; the cointegration test demonstrated that the variables under investigation have a long-term relationship. The VECM findings revealed that the ratio of agriculture to GDP has a negative short-run relationship with poverty rates, while domestic credit to the private sector, foreign direct investment, growth rate, and gross enrollment ratio have a negative short-run relationship with poverty rate, but statistically significant. Domestic credit to the private sector, foreign direct investment, growth rate, and gross enrollment ratio all have a negative long-run relationship with poverty rate, while agriculture to GDP and military spending have a positive but statistically insignificant long-run relationship with poverty rate. To encourage more private sector investment in economic development and poverty alleviation, the South African government must create an open business climate with attractive regulatory incentives.

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Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing Poverty in South Africa: Time Series Analysis

Dagume

2021

IJEFI

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“…However, this conduct has a cause and effect relationship with many other socioeconomic indicators, such as poverty, in its monetary and multidimensional aspects. That is why many authors such as Gupta et al (2002), Chetwynd et al (2003), Ndikumana (2006), andOmoniyi (2018), among others, have focused on this issue.…”

Section: Corruption Poverty and Causalitymentioning

confidence: 99%

Causality between corruption and poverty: An analysis for South American countries

et al. 2022

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This work aimed to analyze the causality between corruption and poverty in Brazil and a group of seven other South American countries, from 2002 to 2018, using the methodology applied by Dumitrescu and Hurlin (2012) for heterogeneous panels. The variables for corruption employed are the Corruption Perception Index (CPI)and the Control of Corruption (CC) index and, as measures of poverty, the indexes proposed by Foster, Greer, and Thorbecke (1984), considering the poverty and extreme poverty lines. Results suggest one-directional CC causality for all measures of the poverty line, as well as for the P2 indicator of extreme poverty.

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“…As National Bureau of Statistics (2010) puts it, the proportion of Nigerians living in poverty is increasing every year despite the fact that Nigerian economy is paradoxically growing. On the other hand, poverty is an obstacle or limitation to economic growth in Nigeria (Omoniyi, 2018).…”

Section: The Poverty Debacle In Nigeriamentioning

confidence: 99%

Sectoral Allocation of Foreign Aids and Poverty Alleviation in Nigeria, 2010-2020

Obiora¹,

Nwanolue²,

Okeke³

2021

IJCH

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The study was necessitated by the high rate of poverty in Nigeria regardless of the foreign aids inflow into the country from 2010 to 2020. Whereas the country received foreign aids which could have resulted in poverty alleviation within the period of this study, she antithetically witnessed increase in poverty rate to the extent that the World Bank in May 2018 reported that Nigeria had emerged poverty capital of the world. According to the National Bureau of Statistics’ report, over 82.9 million persons, representing about 40.1 percent of the total population, were considered poor by national standards as at 2019. The poverty challenge inspite of the foreign aids inflow into Nigeria therefore necessitated the question on how sectoral allocation of foreign aids contributed to poverty alleviation in Nigeria from 2010 to 2020. Anchored on the Big Push Theory, the study adopted ex-post facto research design and documentary method for data collection. Qualitative descriptive method was used for data analysis. Among other things, the study found out that sectoral allocation of foreign aid resources did not contribute to poverty alleviation in Nigeria from 2010 to 2020 as those sectors critical for poverty alleviation did not receive massive investments. On the contrary, the foreign aids were split among numerous (consumption) sub-heads which rendered the aids incapable of contributing to poverty alleviation in the country. In view of the findings, the study therefore recommended the need to channel future foreign aids inflow into projects with high capital returns or the productive sectors of the economy in order to achieve a positive outcome on poverty alleviation.

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An examination of the causes of poverty on economic growth in Nigeria

Cited by 14 publications

References 4 publications

Factors Influencing Poverty in South Africa: Time Series Analysis

Factors Influencing Poverty in South Africa: Time Series Analysis

Causality between corruption and poverty: An analysis for South American countries

Sectoral Allocation of Foreign Aids and Poverty Alleviation in Nigeria, 2010-2020

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