The study looked into the factors that influence rural families in the Akinyele Local Government's need for health care services. Two hundred (200) questionnaires were employed to collect certain important and pertinent data. Regression analysis, percentages, and frequency distribution statistics are some of the techniques employed. This frequency and the percentage allow us to understand how the respondents feel about the queries posed and answers provided. The regression analysis was utilized to determine the variables' sign and size as well as their significance. The regression analysis shows that price of healthcare service, the cost of drug, educational qualification and the distance to health centres are statistically significant in determining the demand for health care services among the people in Akinyele local government area while income, age and gender are statistically insignificant. As price of healthcare services, cost of drugs and distance to health centres are significant at 5% level of significance, education qualification is significant at 10% level of significance.

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

This study investigated the impact of government expenditure on standard of living in Nigeria from 1981–2018 by using a time series data from 1981 to 2018. Government expenditure on three sectors of the economy were used. These sectors include; the education sector, agricultural sector and the health sector. The result shows that government education expenditure and government agricultural expenditure are statistically significant at 10% level of significance while government health expenditure is statistically significant at 5% level of significance. This study concluded that government expenditure on education and health are crucial determinants of standard of living in Nigeria. More money needs to be allotted for the health and education sectors. Together, the idea of government spending and endogenous growth theory propose that public spending on things like health care, education, agricultural advances, and other technology promotes economic growth and reduces poverty in all economies.