The Role of Urbanisation in the Economic Development Process: Evidence from Nigeria

2017 ◽  
Vol 11 (3) ◽  
pp. 223-255 ◽  
Author(s):  
Sakiru Adebola Solarin

The aim of this article is to investigate the relationship between urbanisation and economic growth, while controlling for the agricultural sector, industrial development and government expenditure in Nigeria. The autoregressive distributed lag (ARDL) approach to cointegration is applied to examine the long-run relationship between the variables over the period 1961–2012. In the process of estimating the long-run coefficients, the ARDL method is augmented with a fully modified ordinary least squares (FMOLS) estimator and a dynamic ordinary least squares (DOLS) estimator. The direction of causality between the variables is examined through the vector error correction method (VECM) Granger causality test. The results establish the existence of a long-run relationship in the variables. The results of the long-run regressions indicate the presence of long-run causality from urbanisation, agriculture and industrialisation to economic growth. Due to the deficiencies associated with the single-equation methods (including the ARDL model), we also use the structural vector error correction model (SVECM) to analyse the relationship between the variables. The impulse response and variance decomposition analyses derived from the SVECM method suggest that urbanisation, agriculture and industrialisation are important determinants of economic growth. The implications of the results are discussed. JEL Classification: Q43, O55, O18

2017 ◽  
Vol 9 (4) ◽  
pp. 164
Author(s):  
Kagiso Molefe ◽  
Ireen Choga

Previous studies generally find mixed empirical evidence on the relationship between government spending and economic growth. This study re-examine the relationship between government expenditure and economic growth in South Africa for the period of 1990 to 2015 using the Vector Error Correction Model and Granger Causality techniques. The time series data included in the model were gross domestic Product (GDP), government expenditure, national savings, government debt and consumer price index or inflation. Results obtained from the analysis showed a negative long-run relationship between government expenditure and economic growth in South Africa. Furthermore, the estimate of the speed of adjustment coefficient found in this study has revealed that 49 per cent of the variation in GDP from its equilibrium level is corrected within of a year. Furthermore, the study discovered that the causality relationship run from economic growth to government expenditure. This implied that the Wagner’s law is applicable to South Africa since government expenditure is an effect rather than a cause of economic growth. The results presented in this study are similar to those in the literature and are also sustained by preceding studies.


2017 ◽  
Vol 9 (2(J)) ◽  
pp. 215-223
Author(s):  
Kagiso Molefe ◽  
Andrew Maredza

The primary motivation behind this study was to explore the consequential effects of budget deficit on South Africa`s economic growth. Six variables were used, namely: real GDP, budget deficit, real interest rate, labour, gross fixed capital formation and unemployment. The Vector Error Correction Model (VECM) was used to estimate the long-run equation and also measure the correction from disequilibrium of preceding periods. Using annual time series data spanning the period 1985 to 2015, empirical evidence from the study revealed that budget deficits and economic growth are inversely related. It was therefore concluded that high levels of budget deficit in South Africa have detrimental effects on the growth of the economy. The estimate of the speed of adjustment coefficient found in this study revealed that about 29 per cent of the variation in GDP from its equilibrium level is corrected within one year. The results obtained in this study are favourably similar to those in the literature and are also sustained by previous studies.


Tourism ◽  
2021 ◽  
Vol 69 (3) ◽  
pp. 381-394
Author(s):  
Giovanni Bella ◽  
Carla Massidda

This paper proposes a vector error correction model to investigate the relationship between polluting emissions and GDP levels in Japan, in the period 1970-2014, and tests the validity of the Environmental Kuznets Curve (EKC) hypothesis driven by tourist arrivals. Our results validate the existence of two different causality channels among the selected variables. In particular, we find that a trade-off might exist between increasing the number of tourists, which drives economic growth, and the pattern of a sustainable development, due to the increase of polluting emissions. The analysis allows us to propose appropriate policy strategies to promote a robust and sustainable long run economic growth.


2021 ◽  
Vol 67 (1) ◽  
pp. 147
Author(s):  
Panky Tri Febiyansah ◽  
Bintang Dwitya Cahyono ◽  
Rio Novandra

This paper aims to test the impact of uncertainty on the causal relationship among exports, imports, and economic growth in Indonesia. The relationship is constructed by examining the presence of FDI-adjusted exports and imports (trade) and the output link using conditional variances-covariances derived from the generalized autoregressive conditional heteroskedastic (GARCH) process in a vector error correction model (VEC-GARCH model). Using evidence in Indonesia, the model exposes the uni-directional nexus from trade performance to trade-adjusted output growth in the absence of uncertainty. The volatility effects are evident in the causal relationship between trade and output. The finding shows that the uncertainty effects hamper the trade-economic growth nexus. Incorporated with the long-run causality, trade still causes output even after containing the contributions of volatility. The significant role of imports highlights the higher demand for intermediate capital products and the inclusion of technology in strengthening economic growth.


Author(s):  
Hanan Naser

This study examines the economic and environmental impact of large financial developments in Bahrain from year 2006 to 2016. To do so, the relationship between energy consumption, oil prices, market shares, dividend yields, and economic growth has been investigated using Vector Error Correction Model (VECM). The key findings are summarized as follow: (1) Long run relationship exists between the suggested variables. (2) Both energy and financial markets are significant in the long run relationship, and positively affect the economic growth of Bahrain. (3) According to the estimated ECM term, the model is stable in the short run. (4) Decline in oil price has negative significant drawback on the economic growth of Bahrain. Accordingly, it is recommended that policy makers in Bahrain focuses on implement strong strategies that aim at encouraging investments in non-oil sectors without impeding energy sector or economic growth in order to move towards sustainability.


2021 ◽  
Vol 2 (2) ◽  
pp. 71-83
Author(s):  
Vincent Iorja GISAOR

The inability of most developing economies to use monetary policy to engender real economic growth in their countries prompted the researchers to empirically assess the impact of monetary policy on economic growth in Nigeria between 1980 and 2014. The study employed an econometrics approach making use of the ADF unit root test, Johansen cointegration, Vector error correction model, Pairwise granger causality test and variance decomposition. The Vector Error Correction Mechanism result shows a positive short and long run relationship between both narrow money supply and broad money supply and economic growth in Nigeria with model strength of 75%. The Pairwise granger causality test shows a bi-directional causality between broad money supply and economic growth in Nigeria and was statistically significant at 5% level of confidence. Recommendations were for the government to use her contractionary monetary efforts and implement relevant policies to curtail the inverse effect of the persistent variation in the value of exchange rate, price level and interest rate in Nigeria and adequate regulation of the quantity of money in circulation to avoid hyperinflation and other unpredictable monetary volatilities.


2021 ◽  
Vol 15 (2) ◽  
pp. 198-219
Author(s):  
Oziengbe Scott AIGHEYISI

This study uses annual time series data spanning 1981–2018 to investigate the threshold effects of import dependence on economic growth in Nigeria. The ordinary least squares (OLS) and the fully modified OLS (FMOLS) techniques are employed for estimation of a quadratic regression model to determine the nature of the relationship between aggregate import dependence and economic growth. It is found that the relationship is concave, that is, it follows an inverted-U shape. The conditional least squares estimator is thereafter employed to estimate the threshold model specified to determine the threshold level of import dependence. The study finds a threshold level of 26% for aggregate import dependence. Below this threshold, import dependence positively affects economic growth; above the threshold, the growth effect of import dependence is adverse. Furthermore, it is found that the long-run growth effect of Inflation is adverse, and investment is favourable to long-run economic growth. Based on these findings, the paper recommends efforts by Nigeria’s government to reduce import dependence below the estimated threshold of 26%, control inflation and encourage investment so as to enhance the growth of the nation’s economy.


2018 ◽  
Vol 2 (1) ◽  
pp. 12
Author(s):  
Irwandi Irwandi

Indonesia is one of the largest coal producer countries in the world. In the previous research, it is stated that coal producer countries are able to affect economic growth. The purpose of the study is to investigate the co-integration and causal relationships between coal consumption and income in Indonesia for the period of 1965-2016 using Granger causality test based on Vector Error Correction Model (VECM) employing population as the control variable in bivariate system. The Augmented Dicky-Fuller (ADF) and Phillips-Perron (PP) tests were used to determine the variable stationarity. From Johansen’s co-integration tests, it is indicated that there is a long-run relationship between the variables. The empirical study shows that there is no causal relationship between coal consumption and economic growth in Indonesia since coal consumption in fact cannot affect economic growth in Indonesia. Export tax becomes government revenues earned from energy sectors including coal.


Author(s):  
Nguyen Minh Duc ◽  
Nguyen Anh Tram

Numerous literatures have documented the relationship between exports and economic growth of a nation but not so many on the one between exports of an economic sector and national growth. This paper examines the latter relationship with evidence from fishery exports of Vietnam during 1997 to 2008. The contribution of fishery sector in Vietnamese Gross Domestic Products (GDP) may be mathematically calculated with statistical figures. However, the effects of fishery exports on the economic growth are yet to be thoroughly studied in an econometric approach. An econometric approach with stationary and co-integration tests and vector error correction models used in this study allows forecasting a persistence of the effects of fishery exports on Vietnamese GDP despite of different seasonal business. For the long run estimation, a double increase in national fishery exports revenue would raise the GDP by 7%. This has a great economic meaning in developing process of Vietnamese economy. In reverse direction, Vietnamese fishery exports would increase by 5.2% with a 10% increase in its GDP. Confirming the role of fishery exports in national economic growth, it is necessary for the sector to improve its competitive capacity.


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