E.J. Sowemimo

This study investigates the impact of non-oil exports on economic growth in Nigeria between 1995 and 2024. Using annual time series data and econometric techniques such as the Augmented Dickey-Fuller (ADF) unit root test, Johansen cointegration test, and the Error Correction Model (ECM), the study examines both short-run and long-run dynamics among key variables including non-oil exports (NOX), real gross domestic product (RGDP), foreign exchange earnings (FX), employment (EMP), inflation (INF), and exchange rate (EXR). The cointegration results confirm the existence of long-run relationships among the variables. Findings from the ECM indicate that non-oil exports have a positive but statistically insignificant effect on economic growth and employment, while they significantly enhance foreign exchange earnings. Exchange rate fluctuations exhibit a significant negative effect on RGDP but a positive effect on employment in the short run, whereas inflation remains insignificant across models. The results suggest that although non-oil exports contribute meaningfully to foreign exchange generation, their potential to stimulate broad-based economic growth and job creation has not been fully realized. The study recommends policies that promote export diversification, value addition, exchange rate stability, infrastructure development, and employment-oriented industrialization to strengthen the link between non-oil exports and sustainable economic growth in Nigeria

This research study was carried out to determine the impact of population growth on Nigerian Economy. The specific objectives of the study include investigating the relationship and effect of population growth on economic growth in Nigeria. This research study investigated the impact of population growth on the Nigerian economy using annual time series data for the period 1981 to 2024. The data was extracted from CBN statistical publications (2024), National Bureau of Statistics (2024). ADF technique in testing the unit root property of the series was utilized, the ARDL estimation technique was used to analyze the data. The research findings indicate the following: One year lag coefficient of Real Gross Domestic Product has a positive impact on the current value of Real Gross Domestic Product. Population growth has a positive impact on the current value of Real Gross Domestic Product. Poverty Head Count Ratio has a positive relationship with the current value of Real Gross Domestic Product. Unemployment rate has a positive relationship with the current value of Real Gross Domestic Product. Inflation rate has a positive impact on the current value of Real Gross Domestic Product. The prices of goods and services increases the value for goods and services also increase which eventually cause increase in the value of Real Gross Domestic Product