The aim of this study is to examine the relationship between fiscal policy and economic growth in which past studies have not fully explored in Nigeria. Data was collected from the Central Bank of Nigeria Statistical Bulletin from 1990 to 2017 and the study employed the Autoregressive Distributed Lag (ARDL) model and Error Correction Model (ECM) to address its objective. Consequently, the major findings that originated from the work could be submitted as follows. The result of ECM term confirmed that about 39% of the total disequilibrium in the previous year would be corrected in the current year. Therefore, it will take about two (2) years for the system to adjust back to its long run equilibrium path. Meanwhile, the estimated result shows that economic growth and government revenue have a significant positive relationship in Nigeria in the short run but the relationship becomes negative in the long run. However, recurrent expenditure has a significant negative relationship with economic growth in the short run but the relationship becomes insignificant in the long run. However, inflation rate has a significant positive relationship with economic growth in both short run and long run. Due to the findings that originated in this study, this paper makes the following recommendations for the policy makers in Nigeria that if the economic growth is the target of the policy makers, manipulating fiscal policy variables such as government revenue, capital expenditure and inflation rate appropriately will increase economic growth in the short run and the long run.
This study is examined the relationship between official development assistance and poverty alleviation in Nigeria which majority of studies in the past have failed to explore. Consequently, the study utilized an error correction model to address its objective. The major findings in this study are as follows. There is a significant negative relationship between official development assistance and household consumption per capita in Nigeria. This implies that official development assistance has no capacity to alleviate the current worrisome level of poverty in this country. However, FDI contributes to poverty alleviation in Nigeria though not significant. Furthermore, 11% of the error caused by shock was corrected annually in the model. The study therefore makes these recommendations for the policy makers; whenever alleviation of poverty is the target of the policy makers in the country, the Nigerian government should be committed to the provision of conducive investment environment that can facilitate further inflows of FDI from the developed countries, especially G 7 and G 13 countries. Also, the policy makers in Nigeria should not compromise in tailoring official development assistance towards projects and programs that have trickle down effects on the masses in Nigeria.
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