The study investigated the challenges and prospects of commercial bank loan extended to farmers in Lagelu Local Government of Oyo state, Nigeria. The methods used include descriptive statistics, binomial logistic regression analysis with multinomial logit regression. The result of the binomial logistic regression revealed that the variables that determine farm output are age, household size, hired labour, marital status, number of loan applications, amount of loan collected, off-farm income and interest rate on loan. Also, the multinomial logit regression analysis revealed that the variables that determine cassava crop production are hired labour, number of loan application and amount of loan collected, amount of loan collect and off-farm income determine rice production in the study area, interest rate on loan was the only variable that determine potatoes production, household size, and farming experience are the only variables that determine the production of maize in the study area, while farm size determine the output of groundnut production in the study area. The study recommended that since loan is one of the avenues that farmers can increase their farming output which will product the growth of gross domestic product, government agency should instruct commercial banks to direct more loans to agricultural activities. Farmers should not give up in applying for loan because at the end of the day, they will be surely granted and interest rate on loans given to farmers by commercial banks should be lower in other to encourage them to borrow more. Contribution/ Originality: This study contributes in the existing literature by investigating the challenges and prospects of commercial bank loan extended to farmers in Nigeria. The study make used of two methodologies which are binomial logistic and multinomial logistic regression. The past study only look at how banks loan affect farm output but this was also done in this research but the study go further by looking at how banks loan affect cassava crop production, rice production, potatoes production, maize production and groundnut production which has not been done before in the study area.

In this study, the effects of Nigeria's manufacturing sector on economic growth between 1981 and 2018 are examined. In order to examine the relationship between the specified explanatory factors and the growth of the Nigerian economy, the study uses the OLS regression methodology. The findings indicate that the manufacturing sector's output has a positive and significant link with the increase of the gross domestic product, indicating that it has a favorable impact on that growth. The fact that this variable is significant suggests that Nigeria's manufacturing industry is currently one of the country's main economic drivers. Additionally, there is a strong and positive correlation between capital and GDP, which suggests that capital can help drive GDP growth. The link between labor and GDP growth is both favorable and significant, indicating that labor has a beneficial impact on GDP. The link between foreign direct investment and gross domestic product is strong and positive, indicating that FDI has a beneficial impact on GDP growth. The link between exchange rate and GDP is both positive and insignificant, which suggests that Nigeria's exchange rate management is subpar. The fact that the manufacturing sector of the Nigerian economy is currently one of the country's main driving forces may be responsible for the considerable and favorable impact of manufacturing production on economic growth.

In this investigation, the effects of trade liberalization on Nigerian economic growth between 1981 and 2018 were examined. To ascertain if the dependent variable and the explanatory variables are temporally volatile, descriptive statistics were used. The relationships between the variables over the long and short terms were also investigated using the Augmented Dickey Fuller (ADF) unit root test. A co-integration test was run to ascertain whether there was a long-run relationship between the variables in order to validate the unit root test result. As a result, only foreign direct investment and labor are statistically significant in predicting economic growth in Nigeria in the short run; FDI is statistically significant at a level of 10%, while labor is statistically significant at a level of 5%. Gross capital formation, trade, and exchange rates have statistically negligible effects on how quickly the economy grows. All of the model's variables are statistically significant in the long run for predicting economic growth. At the 5% level of significance, every variable is statistically significant. JEL code: F13, F14

The purpose of this study was to determine how the CBN's monetary policies affect Nigerian SMEs' ability to survive. To investigate the data properties, a number of tests were run, including the unit-root test, and descriptive statistics. The explanatory variables and the dependent variable were tested for the presence of time-varying volatility and leptokurtosis using descriptive statistics. The relationship between the variables over the long and short terms was further examined using the Augmented Dickey Fuller (ADF) unit root test. Co-integration testing was done to confirm the outcome of the unit root test and to determine whether there was a long-term relationship between the variables. The findings indicate that whereas lending interest rates are negatively correlated with SME growth, money supply, commercial bank loans and advances, and bank reserves are positively correlated with SME growth. The study came to the conclusion that monetary policy is crucial to the success of SMEs in Nigeria. The consequence is that for SMEs to survive in Nigeria, the interaction of these factors is crucial.

This study looked at the effects of trade liberation on reducing poverty in Nigeria. To investigate the data properties, a number of tests were run, including co-integration, the unit-root test, and descriptive statistics. The Auto-Regressive Distributed Lag (ARDL) method was used in this study to examine the variables' short-run and long-run effects. The outcome demonstrated that trade is statistically important in determining Nigeria's poverty rate over the long and short runs. However, a country's economic system's potential to gain from economic globalization also depended on its domestic macroeconomic policy, market structure, early economic state, institutional quality, and degree of political stability. According to the predicted outcome, trade will benefit the poor in the long run. On the basis of the study's findings, suggestions are given to promote trade and lower the rate of poverty in Nigeria. To save the domestic market, Nigeria may implement a restrictive trade liberalization strategy. In contrast, the government should encourage the import of technology to advance domestic industry and adopt a soft trade liberalization policy that is based on the elimination or reduction of barriers to international commerce in technology. JEL code: F13, F14