Seun Adebanjo - Academia.edu (original) (raw)

Papers by Seun Adebanjo

International Journal of Data Science, Dec 18, 2023

Utilizing data visualization facilitates the analysis and comprehension of common data provided b... more Utilizing data visualization facilitates the analysis and comprehension of common data provided by the media, individuals, governments, and other sectors. Python is a well-known programming language that excels at scientific data visualization. This thesis utilizes a variety of Python modules, including Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Bokeh, to illustrate female genital mutilation. The purpose of this thesis is to illustrate female genital mutilation and explain its performance pattern using a complex, interactive diagram that integrates multiple types of Python libraries. In comparison to other libraries, Plotly is the simplest, yet it performs at the highest level. NumPy and Matplotlib are combined to produce Hexbins charts. NumPy provides an N-dimensional plot, and Matplotlib allows for the plot's colours to be customized. Despite its limited customization options, the Seaborn library is suitable for both data visualization and statistical modelling. Due to this deficiency, the Seaborn library is frequently combined with Matplotlib to generate superior visualizations. As a result, this thesis will be recommended to both specialists and novices as worthwhile reading. In addition, it will assist the government in drafting legislation to end female genital mutilation. They will comprehend the significance of combining multiple Python modules to generate intricate interactive diagrams for data visualization in the field of data science. This information will be posted online to contribute to the corpus of knowledge. This is an open access article under the CC-BY-SA license.

Journal of environmental science and economics, Mar 12, 2024

The developed world, which includes the United States of America (US), constantly works to reduce... more The developed world, which includes the United States of America (US), constantly works to reduce carbon dioxide emissions for the benefit of its people's health while advancing technical innovation to achieve impressive economic development. This motivates this study to use artificial neural network (ANN) and the Environmental Kuznets Curve (EKC) technique to explore the relationship between technological innovation, economic development, and CO2 emissions in the US in order to add to the body of knowledge already in existence. For this study, secondary data from 1990 to 2023 was gathered from the World Bank and globaleconomy.com. The results show that, whereas the artificial neural network shows that economic development contributes more to C02 emissions, the Environmental Kuznets Curve shows that higher levels of technical innovation and economic development lower C02 emissions. Hence, in order to maintain C02 emissions at the lowest possible level and improve the nation's atmospheric conditions, the US government should guarantee sustainable policies that will promote economic development and technological innovation.

Taxation, the primary component of fiscal policy, definitely influences economic production becau... more Taxation, the primary component of fiscal policy, definitely influences economic production because, in industrialized nations, the government uses the money from taxpayers to build fundamental infrastructure like reliable electricity, well-maintained roads, and water supplies. Therefore, the aim of this study is to investigate the developmental effect of taxes on the economic performance of developed economies around the world. Panel VAR application revealed a short-term correlation between taxation and the economic performance of industrialized countries. While the fitted FMOLS reveals a significant positive impact of taxation and foreign direct investment (FDI) on the long-term economic performance of developed nations, suggesting that higher levels of taxation and FDI return contribute to greater economic performance in the world's developed economies, the Hausman test specifies a random-effect regression model that confirms the significant positive impact of taxation and GNI on economic performance. As a result, the governments of industrialized nations should keep putting in place a sustainable tax system that is alluring enough to raise tax payments and promote the continuation of FDI and GNI growth, which would improve economic performance both now and in the future.

Journal of Mathematical Problems, Equations and Statistics

International Journal of Financial Management and Economics

Following the recent worldwide crisis brought on by the prolonged COVID-19 pandemic and the ongoi... more Following the recent worldwide crisis brought on by the prolonged COVID-19 pandemic and the ongoing war in Ukraine, food insecurity has emerged as the topic of conversation that is being addressed the most. This study's main goal is to disentangle the relationship between household socioeconomic indicators and other variables that may have an impact on food insecurity during the COVID-19 pandemic in Nigeria. Furthermore, Quantile regression was applied and the result shows that some socioeconomic factors such as the rural and education level have a negative significant contribution to food insecurity while a household with accounts from financial institutions has a positive significant contribution to food insecurity in Nigeria. The Quantile regression results, however, also demonstrate that the percentage of working adults engaged in agriculture has a negative significant contribution to food insecurity, whereas the percentage of working adults engaged in wage work has a positive significant contribution to food insecurity, suggesting that the higher the percentage of working adults engaged in wage work, the less food insecurity there will be. Consequently, the government need to strengthen the importance of food security by investing holistically in agriculture as well as providing adequate security to farmers to attract more people to agriculture which in turn will contribute to higher food availability, fight poverty and hunger as well as combating the food insecurity among the household in Nigeria.

Statistical training and consultation, Nigeria.

African Journal of Mathematics and Statistics Studies

The Naira's value has continued fluctuating in comparison with other currencies due to its de... more The Naira's value has continued fluctuating in comparison with other currencies due to its depreciation. Because of this fluctuation, returns are difficult to forecast. The core objective of this study is to find a unified probability distribution for modelling the exchange rate in Nigeria and this will contribute immensely to the existing body of knowledge. The continuous nonnegative exchange rate data from 1970 to 2021 was used for this research paper. Previous studies have demonstrated different probability distributions from others in the real sense. Therefore, the selection of appropriate probability distributions is of great importance. This study adopted ten continuous probability distributions. The graph of the probability density function and Chi-square goodness of fit statistics show that the probability distributions fit the exchange rate data. Meanwhile, the log-likelihood value and the AIC show that Fatigue Life (3P) distribution is best done compared with fitted pr...

Journal of Environmental Science and Economics

This research focuses on Natural Resource Depletion in Sub-Saharan Africa, as well as ways to ove... more This research focuses on Natural Resource Depletion in Sub-Saharan Africa, as well as ways to overcome it, with a particular focus on the role of transparency in Sub-Saharan Africa (SSA). The transparency initiative is a global initiative aimed at eradicating corruption, ensuring accountability, and assisting participating countries in developing quality budgets that will ensure a good standard of living for their citizens now and in the future. Hausman test was applied and a fixed panel regression model was specified which reveals that there is a significant relationship between GDP per capita, inflation, the EITI dummy, and the transparency indicator is established using a panel regression model. The results show that the model fits the data well and can be used to forecast future economic growth in SSA countries that participate in the EITI scheme. The fixed-effect model also shows that the Transparency indicators such as voice and accountability, and corruption have a positive s...

Natural gas consumption is a significant issue in European countries due to the Russia-Ukraine wa... more Natural gas consumption is a significant issue in European countries due to the Russia-Ukraine war crisis. Natural gas is very important both for household and commercial purposes. The primary objective of this study is to investigate the relationship between natural gas consumption and its determinants. Panel data collected from Eurostat and World Bank publications, consisting of five European countries spanning from 2009 to 2022, were used for this study. Panel data analysis, like the panel unit root test, shows that the panel data variables are integrated into order 1. This indicates that the estimators are sufficient since the variables in the panel are stationary. Johansen Fisher's panel cointegration test shows that there is a long-run association between natural gas consumption and its determinants. The Hausman test specified a panel random effect regression model to run the analysis of this paper, and the model indicates that there is a significant relationship between natural gas consumption and its determinants. The Panel regression model further reveals natural gas prices have a negative significant impact on natural gas consumption, which suggests that the consumption of natural gas reduces with an increase in its price. This is the current situation in European countries now following the effect of the Russian-Ukraine war. Besides, correlation analysis was applied and shows a negative and significant relationship between natural gas consumption and natural gas demand. Following the outcome of this research paper, it will be very important for the United Nations and the European Union to swiftly apply a drastic and lasting solution approach to the current Russian-Ukraine war in order to prevent further untold damages that the war could cause to the economy of European Countries.

International Journal of Statistics and Applied Mathematics

The focus of this project work is on modeling the relationship between confirmed COVID-19 cases, ... more The focus of this project work is on modeling the relationship between confirmed COVID-19 cases, consumer price index (CPI) and economic growth in Nigeria. Economic growth can be accurately captured by the country's gross domestic product per capita. It is notable that the pandemic has weakened the global economy, among other emerging economies. Nigeria has experienced serious retardation in her economic growth since the emergence of coronavirus disease in February, 2020 and we can see that the total gross domestic product per capita of 2229.85in2019dropto2229.85 in 2019 drop to 2229.85in2019dropto2148.91 at the end of 2020 due to COVID-19 impact and consequently prompt the Nigeria Government to take a lock down measure so as to contain the spread of the virus. Numerous studies have been conducted regarding this disease and this work goes further to fit a multiple regression to better describe the relationship between cases of the disease and Nigeria's economic growth. The regression model shows a significant linear relationship between cases of COVID-19, consumer price index, and gross domestic product per capita which suggests that the model is valid and suitable for predicting future growth in Nigeria. The multiple Rsquare of 0.712 is evidence that a about 71.2% of the variation in per capita GDP can be explained by the CPI and confirmed cases. The correlation analysis between confirmed cases of COVID-19 and the country's GDP per capita indicate a negative correlation between them which suggests that the higher the country's monthly confirmed cases of COVID-19, the lower will be its economic growth. The fitted model is robust, valid, reliable, and works well as the underlying assumptions about normality, multicollinearity, and homoscedasticity are satisfied.

Apparently, throughout human history, pollution and the economy appear to have been inextricably ... more Apparently, throughout human history, pollution and the economy appear to have been inextricably linked. However, the relationship between environmental harm and economic development is complex, and disciplinary biases have splintered our understanding of it. This study applies Johansen cointegration which indicate that there exists a long-term relationship between air pollutants and economic growth. Multiple regression model indicates that there is a significant relationship between air pollution variables and the economic growth. The vector autoregressive model (Var) indicates a short run relationship between the variables. Then, Vector error correction model was fitted and the Environmental Kuznets Curve (EKC) is supported. More so, the EKC shows that economic growth has both positive and negative significant impact on air pollution. Meanwhile, Granger causality test shows that economic growth has causal effect on air pollution. This indicates that Jordan has reduced CO2 emissions along with other pollutants and thereby contributed to environmental improvement in the country.

Journal of environmental science and economics , 2022

International Journal of statistics and applied mathematics , 2022