scholarly journals The Impact of Manufacturing on Economic Growth in Nigeria: An Autoregressive Distributed Lag Model Approach

Author(s):  
Dogara Egbiku Joshua ◽  
Author(s):  
Oyetunji David Olalere ◽  
Muhammad Nuruddeen Isa

This study examined the impact of Sales Volume (SAV) and Completely Knocked Down (CKD) in Automotive Industry in Nigeria using time series data from 1987 to 2019. The objective of this research is to establish the Impact of Sales Volume (SAV) and Completely Knocked Down (CKD) in Automotive Industry on Economic Growth in Nigeria: 1987- 2019. Autoregressive Distributed Lag Model (ARDL) method was used. The findings from the study revealed that Sales volume (LSAV (-1)) at one lag period and Completely knocked down (LCKD) at lag value have significant impact on economic growth while Exchange rate (EXCR) is not significant. Interest rate and inflation rate appear to be statistically significant in determining economic growth at their contemporaneous values. Hence, we conclude that Sales Volume and Completely Knocked Down in Automotive Industry positively impacted on the economic growth in Nigeria over the period under study We therefore recommend that government should encourage an increase in sales volume for the economic growth status to keep enjoying positive contributions to the automotive sector in Nigeria.


2020 ◽  
Vol 3 (2) ◽  
pp. 77-86
Author(s):  
Abubakar Aminu ◽  

This paper investigated the impact of education tax and investment in human capital on economic growth in Nigeria utilizing the Non-Linear Autoregressive Distributed Lag Model of cointegration covering the period of 25 years from 1995 to 2019. The findings reveal that education tax and investment in human capital have positive and significant effect on the growth of the Nigerian economy over the sampled period. The paper recommends that in order to boost the economy, Nigeria would need to, among other policy frameworks, provide a suitable environment for ensuring macro-economic stability through effective utilization of income from education tax that will encourage increased investment in human capital in the public sector. In addition to income from education tax, for effective and speedy economic growth and development in Nigeria, the government, beneficiaries (students/parents), employers of labor and other stakeholders in the society should share the responsibility for financing primary, secondary and tertiary education, so as to provide a solid foundation for human capital development. However, as revealed in this paper, the contribution of education tax and investment in human capital is most likely to be realized over a long-run period than in the short term. Keywords: Education Tax; Investment; Human capital; Economic growth


Author(s):  
Adenuga Fabian Adekoya ◽  
Nor Azam Abdul Razak

Abstract The level of crime in Nigeria has become devastating and in order to put more sanity into the economy and the country at large, the Government has embarked on different deterrence measures in curbing crime. Thus, this study examined the interaction of deterrence measures with crime in order to see how economic growth was affected when they were used in curbing crime at different instances. That is, the interaction of deterrence measures with crime informed us how they have helped in lowering crime in Nigeria for a better economic growth to subsist. The deterrence measures considered in this work are in line with the rational choice theory being the cost of crime imposed on the society. Furthermore, this study considered data from 1975 to 2013 with the use of autoregressive distributed lag model. Moreover, the results showed that crime dependency on deterrence measures asymmetrically constituted means of lowering economic growth in the country. Hence, this study suggested that prosecution should be well funded and in order to curb crime and improve economic growth in Nigeria. That is, this would afford the country to reduce the congestion of prison inmates and thus, it would discourage long waiting trials.


2021 ◽  
Vol 39 (3) ◽  
Author(s):  
Delani Moyo ◽  
Ahmed Samour ◽  
Turgut Tursoy

The relationship between taxation, government expenditure and economic growth. is a widely debated issue in the literature. The aim of this research is to present a fresh evidence from the nexus of taxation, government expenditure and economic growth in for the period 1991-2018 in South Africa, using recently developed combined co-integration test. Autoregressive Distributed Lag model(ARDL) is utilized to examine coefficients between the variables in the short and long-run The newly advanced Bayer-Hacks (BH) combined co-integration approach is employed so as to verify the ARDL bounds result. The empirical results from ARDL model revealed that there is a positive and significant relationship between government expenditure and economic growth in both short and long run. In addition, the study shows that tax revenue has a significant positive relationship with the economic growth. Therefore, levels of taxation and government expenditure are favorable to the growth of economy in South Africa. The research proposed that decision makers in South Africa should pay more attention on Taxation and government expenditure policies and the gains from economic growth such as channel much of its expenditure towards the manufacturing and agricultural sectors, which have great potentials of increasing the supply of the products. Which in turn leads to reduce prices and increase in the rates of employment. This would, also make the country’s exports prices competitive.


2020 ◽  
Vol 1 (1) ◽  
pp. 41-52
Author(s):  
Raima Nazar ◽  
Aisha Ambreen ◽  
Sumbal Sabtain

Pakistan is one of the developing countries instead of possessing large amount of natural resources like mines, reserves of coal, adequate amount of minerals and oil, But, Pakistan is still deprived of basic necessities of life and suffering from extreme inflation in the country. Therefore, this study is an attempt to synopsis the impact of inflation on GDP of Pakistan. This study mainly focus on the inflation rate from the period 1980 to 2016, time series annual data has been employed in the study. The Auto Regressive Distributed Lag Model technique is applied in the study in order to estimate and analyze the data. The study concludes that inflation indicates negative impact on the GDP of Pakistan and it can only be minimized if all resources of the country are properly allocated and fully utilized.


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