The study examined the impact of firm size on firm's performance in Nigeria: A comparative study of selected firms in the building industry in Nigeria using annual data from 2004 to 2017. The technique used in the research work was panel analysis. Based on the financial measurement of performance using both return on assets (ROA) and return on equity (ROE), two out of the four variables used as an indicators of size were statistically significant in determine return on assets which are total sales and age of firm since incorporated and total sale has positive effect on return on assets while age of firm since incorporated has a negative effect on return on assets. Furthermore, it was observed that only leverage that was significant in determine return on equity. Based on productivity measurement of performance of the selected firms in the building industry in Nigeria using both output per labour and output per capital, also two out of the four variables used as an indicators of size were statistically significant in determine output per labour which are total sales and age of firm since incorporated and both have positive effect output per labour and total number of employee and leverage has a negative significant impact on output per labour. Also, only age of firm since incorporated as a measure of size that was significant in determine output per capital out of the four measurement of size and liquidity ratio has a positive significant effect on output per capital. Contribution/ Originality: This study is one of very few studies which have investigated the impact of firm size on firm's performance in Nigeria from economics measurement of firm's performance. Performance indicators like return on asset (ROA) and return on equity (ROE) used by the past studies are accounting measurement but this study included economics measurement which are output per labour and output per capital to make this research work different from the existing literature. Also, total sales and total assets was used as proxies for measuring size but this study included two other variables which are number of employee and age of firm since incorporated.
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.
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