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RISS 인기검색어
- 검색키워드
- 저자 : Osayomi Tolulope (검색결과 2 건)
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Osayomi Tolulope,Adeleke Richard,Taiwo Olalekan John,Gbadegesin Adeniyi S.,Fatayo Opeyemi Caleb,Akpoterai Lawrence Enejeta,Ayanda Joy Temitope,Moyin-Jesu Judah,Isioye Abdullahi 대한공간정보학회 2021 Spatial Information Research Vol.29 No.4
Nigeria is currently the worst COVID-19 affected country in West Africa in terms of morbidity and mortality amid ECOWAS’s recent proclamation of the country as the region’s COVID-19 Response Champion. It is against this background that this paper analysed the geographical distribution of confirmed COVID-19 cases and fatalities in West Africa, with a view to understanding why Nigeria is at the heart of the pandemic in the subcontinent. The research relied on COVID-19 data and other health, demographic, transport, economic indicators from published sources. Pearson correlation technique and simple linear regressions were useful in discerning associations between COVID-19 and explanatory factors in West Africa. In order of importance, Nigeria, Ghana and Senegal were the top three on the morbidity list while Nigeria, Mali and Niger had the largest number of fatalities as at June 11, 2020. Results show that the population size and air traffic had significant impact on both COVID-19 morbidity and mortality in West Africa. In addition, Nigeria’s large population size and high air traffic volume did not only increase its susceptibility to the viral infection but also accounted for its being an outlier in the sub-continent. The study recommends that a cautious and gradual reopening of the borders should be considered by member states of the sub-region while behavioural avoidance measures are being enforced till a vaccine is found.
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Exploring the spatial distribution of domestic debt in Nigeria
Richard Adeleke,Tolulope Osayomi 대한공간정보학회 2022 Spatial Information Research Vol.30 No.2
The rapid growth in domestic debt in Nigeria, coupled with the high level of debt servicing is a huge challenge given its negative impact on economic development. However, there is scanty evidence on the spatial disparities and the correlates of rising domestic debt in Nigeria. Moreover, are the high or low amounts of debt a function of the spatial variations in socio-economic, macroeconomic and political economy factors? Hence, this study examined the spatial distribution of domestic debt and determined to what extent socio-economic, macro-economic and political economy factors are associated with state-level variations in domestic debt. Spatial statistics of Global and Local Moran’s I were used to examine the patterns of domestic debt while ordinary least squares model and spatial error model were applied to determine the correlates. Results show that there was significant clustering of domestic debt while population density and corruption were the significant predictors of the spatial pattern. The study recommends the need to closely monitor states with large population size so as to void the debt trap and leverage the potentials of human capital. Also, corruption at all levels of government should be curtailed.
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