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GROSS DOMESTIC PRODUCT (GDP) AND ITS GROWTH RATE ON SELECTED AFRICAN COUNTRIES: A PANEL REGRESSION APPROACH

¹RASAKI YINKA AKINBO and ²ABAYOMI AYODELE AKOMOLAFE

¹Department of Mathematics and Statistics, Federal Polytechnic, Ilaro, Ogun State

rasaki.akinbo@federalpolyilaro.edu.ng

²Department of Statistics,  Federal University of Technology, Akure, Nigeria.

akomolafeayotade@gmail.com

ABSTRACT: The economic growth of African countries is influenced by a range of factors, including labor, Foreign Direct Investment (FDI), exchange rate fluctuations, and inflation. This study focused on African countries and specifically on Nigeria, Côte d'Ivoire, and Senegal to explore how these variables affect GDP growth rates. The aim of this study is to investigate the impact of labor, FDI, exchange rate, and the selected countries using a panel regression approach. A panel regression analysis was conducted using data from the three selected West African countries between 1995 to 2024. The model includes labor, FDI, exchange rate, and inflation as independent variables, with country-specific effects accounted for through a random effects model. The results reveal that in Nigeria, labor significantly negatively impacts GDP growth, suggesting inefficiencies in the labor market. FDI and exchange rate fluctuations do not have significant effects. In Côte d'Ivoire, FDI significantly enhances GDP growth, while the exchange rate has a significant negative impact. In Senegal, none of the examined variables labor, FDI, exchange rate, or inflation shows a significant impact on GDP growth, indicating the presence of other influencing factors. The study highlights the varying effects of labor, FDI, exchange rate, and inflation on GDP growth across Nigeria, Côte d'Ivoire, and Senegal. The significant role of FDI in Côte d'Ivoire underscores the importance of foreign investment in economic growth, while the negative impact of labor in Nigeria points to labor market inefficiencies. These findings provide valuable insights for policymakers to tailor strategies that address specific economic challenges and leverage opportunities for growth in these countries.

[RASAKI YINKA AKINBO and ABAYOMI AYODELE AKOMOLAFE. GROSS DOMESTIC PRODUCT (GDP) AND ITS GROWTH RATE ON SELECTED AFRICAN COUNTRIES: A PANEL REGRESSION APPROACH. J Am Sci 2026;22(7):1-164]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience.org. 01. doi:10.7537/marsjas220726.01

Keywords: Labor; Foreign Direct Investment; Exchange Rate Fluctuations and Inflation

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Abstract: Processor allocation is responsible for selecting a set of processors in order to run parallel work on them, while job schedule is responsible for determination of executing works. Two strategies  are used for the allocation  of jobs to processors  connected  by mesh topologies: contiguous allocation and non-contiguous allocation.  Continuous allocation methods always try to allocate a free continuous sub-mesh with the same requested dimensional structure to the parallel input job. For this reason, it produces the internal fragmentation in the processors network. In non-contiguous allocation, a job request can be split into smaller parts that are allocated possibly non-adjacent  free sub-meshes rather than always waiting until a single sub mesh  of the requested  size  and  shape  is available. Lifting the contiguity  condition  is expected  to reduce processor fragmentation and increase Utilization. However, the distances traversed by messages can be long, and as a result the   communication overhead, especially contention, is increased. The extra communication overhead  depends  on  how  the  allocation  request  is  partitioned  and  assigned to free sub- meshes In large multi-computers, using an allocation algorithm in particular and an efficient scheduled algorithm is very crucial to have the maximum computing power. Mesh is a widely used architecture in parallel computing systems.  Research on efficient allocation of processors to incoming tasks on mesh architecture is very important in achieving the desired high performance. communication overhead is highly dependent on to the manner of free sub-meshes allocation and the manner of recording by the algorithm. In this Research, a fast and efficient noncontinuous allocation algorithm(FENA)  with the ability to maintain maximum continuity multiprocessors with mesh topology has been presented for a two-dimensional mesh network .The performance of this algorithm and continuous and noncontinuous allocation algorithms are determined and compared via simulator, Simulation results indicate the improved performance parameters in the FENA(fast and efficient  non-continuous allocation)algorithm.

[Rahmat Zolfaghari. Non continuous allocation Algorithm for Increasing the Utilization Processor in Multi-Computers Network. J Am Sci 2026;22(7):17-26]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience.org. 02. doi:10.7537/marsjas220726.02

Keywords:  Utilization; multi-computers network; allocation processor; fragmentation; continuous and noncontinuous allocation algorithms.

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The future of Kadana Dam

Gangadhar

H.No.5-30-4/1,Saibabanagar, Jeedimetla, Hyderabad, India-500055

Email:  gangadhar19582058@gmail.com

Abstract:  What will be the future water availability in Kadana Dam in the coming years and decades? Here is a critical point to bring to the notice of Indian governments, scientists, irrigation engineers, officers, farmers, and people to be aware of one thing.  That is to say, India will be hit by a series of heavy rain floods in the coming years. According to the Indian Monsoon Time Scale, India is currently rapidly entering the throes of an era of major heavy rains and floods. As a result, India will be plagued by heavy rains and floods until around 2070. These conditions are now rising and peaked around 2045 and then began to subside by 2070. However, this does not mean that floods occur in all years. There are more flood years and fewer drought years. This study suggests that the Kadana Dam is likely to fill up waters in the coming years, for a period of 50 years, up to approximately 2075. Floods may occur in some years, causing loss of life and property in the catchment and drainage areas. Therefore, the situation in the catchment and drainage areas of the Kadana Dam should be closely monitored, and  strategies should be prepared accordingly. This paper is composed of updated additional information and analysis with new data compared with current developments.

[Gangadhar. The future of Kadana Dam. J Am Sci 2026;22(7):27-99]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience.org. 03. doi:10.7537/marsjas220726.03

Keywords:  Ecological Forecasting Time Scales(1965-70), A New Model of Cosmology (1970-80), Basics of Geoscope (1980-87), Basics of Monsoon Time Scales (1987-91), Astro-Climatic Numerical Periodic Tables (1991-2000), Designs of Geoscope(2000-2015), Designs of Global Monsoon Time Scales (2015-still) 

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