Testing the Relationship Between Government Expenditure and National Income in Canada, Employing Granger Causality and Cointegration Analysis

1993 ◽  
Vol 19 (7) ◽  
pp. 31-46 ◽  
Author(s):  
Mohammed I. Ansari
Keyword(s):  
Granger Causality ◽  
Government Expenditure ◽  
National Income ◽  
Cointegration Analysis ◽  
The Relationship

scholarly journals Government Expenditure and Economic Growth in South Africa: A Vector Error Correction Modelling and Granger Causality Test

2017 ◽  
Vol 9 (4) ◽  
pp. 164
Author(s):  
Kagiso Molefe ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Granger Causality ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

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.

scholarly journals Analisis kausalitas antara pengeluaran pemerintah dan pertumbuhan ekonomi di Pulau Sumatera

2019 ◽  
Vol 15 (1) ◽  
pp. 15-34
Author(s):  
Nadine Brillianta Hanifah ◽  
Syamsurijal A Kadir ◽  
Anna Yulianita
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Granger Causality ◽  
Government Spending ◽  
Government Expenditure ◽  
The Other ◽  
West Sumatra ◽  
Causality Relationship ◽  
Causality Model ◽  
The Relationship

This study aims to investigate the relationship between government expenditure and economic growth in each province on the island of Sumatra during the period 2007-2016 using panel data. The method used is a quantitative approach by applying the Granger Causality model. The findings of this study indicate that there are no two-way relationships from the 10 provinces in Sumatra. But there is a one-way relationship between government spending and economic growth, which is found in the Province of West Sumatra and Bengkulu Province. Whereas the other 8 provinces have no one-way and two-way causality relationship

scholarly journals The Effect of Higher Education on Growth: A Cointegration Analysis

2013 ◽  
Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin
Keyword(s):  
Higher Education ◽  
Granger Causality ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.

scholarly journals Relationship between Financial Development and Economic Growth: Empirical Evidence in Indonesia

2018 ◽  
Vol 10 (12) ◽  
pp. 37 ◽  
Author(s):  
Hafnida Hasan
Keyword(s):  
Economic Growth ◽  
Empirical Evidence ◽  
Granger Causality ◽  
Financial Development ◽  
Trade Openness ◽  
Government Expenditure ◽  
Long Run ◽  
Push Forward ◽  
Using Data ◽  
The Relationship

The aim of this paper to examine the relationship between financial development and economic growth in Indonesia by using data from 1986 until 2014. Johansen co-integration and Granger causality are utilized to analyze the data. The financial development is measured by the ratio of broad money and other control variables such as trade openness and government expenditure. The finding indicates that there is long run relationship between financial development and economic growth. Meanwhile, a unidirectional relationship had been found, it come from economic growth to financial development. Therefore, a policy to increase economic growth will push forward in proper to improve financial development in Indonesia.

scholarly journals On the Causal Relationship between Government Expenditure and Tax Revenue in Pakistan

2004 ◽  
Vol 9 (2) ◽  
pp. 105-117 ◽  
Author(s):  
M. Haiderv Hussain
Keyword(s):  
Causal Relationship ◽  
Granger Causality ◽  
Government Expenditure ◽  
Government Expenditures ◽  
Tax Revenue ◽  
The Relationship

This paper applies the technique of Granger Causality to determine the relationship between total government expenditures and total tax revenue using annual revised estimates. The analysis discovers a firm unidirectional effect from expenditure to revenue suggesting the preference of controlling the spending decisions to reduce the tax revenue-expenditure deficit.

scholarly journals Government Expenditure and Economic Growth in South Africa: A Vector Error Correction Modelling and Granger Causality Test

2017 ◽  
Vol 9 (4(J)) ◽  
pp. 164-172
Author(s):  
Kagiso Molefe ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Granger Causality ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

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.

scholarly journals The causal relationship between government revenue and expenditure in Namibia

2008 ◽  
Vol 2 (2) ◽  
pp. 175-186 ◽  
Author(s):  
Joel H. Eita ◽  
Daisy Mbazima
Keyword(s):  
Causal Relationship ◽  
Granger Causality ◽  
Budget Deficit ◽  
Vector Autoregression ◽  
Government Expenditure ◽  
Granger Causality Test ◽  
Government Revenue ◽  
Causality Test ◽  
The Relationship

The relationship between government revenue and government expenditure is important, given its relevance for policy especially with respect to the budget deficit. The purpose of this paper is to investigate the relationship between government revenue and government expenditure in Namibia. It investigates the causal relationship between government revenue and government expenditure using the Granger causality test through cointegrated vector autoregression (VAR) methods for the period the period 1977 to 2007. The paper tests whether government revenue causes government expenditure or whether the causality runs from government expenditure to government revenue, and if there is bi-directional causality. The results show that there is unidirectional causality from government revenue to government expenditure. This suggests that unsustainable fiscal imbalances can be mitigated by policies that stimulate government revenue.

scholarly journals Electricity Consumption and Secondary Industry Structure: Case Analysis of Shandong

2020 ◽  
Vol 185 ◽  
pp. 01007
Author(s):  
Zhiwei Zhang ◽  
Bing Li
Keyword(s):  
Granger Causality ◽  
Control Variable ◽  
Electricity Consumption ◽  
Industry Structure ◽  
Cointegration Analysis ◽  
Causality Test ◽  
Long Run ◽  
Secondary Industry ◽  
Relationship Of ◽  
The Relationship

This paper analyses the relationship of electricity consumption and secondary industry structure with GDP as control variable. Cointegration analysis indicates that there is a long run relationship between the electricity consumption and the secondary industry structure. Granger causality test indicates that variables all have one-directional Granger causality relationship. Increased electricity consumption could explain the development of GDP in Shandong in the period under study. Secondary industry structure played a significant role in the explanation of the increased electricity demand. And secondary industry structure helps explain the growth of GDP in Shandong province. Although tertiary industry is developing very fast but the secondary industry is still very important in the electricity consumption.

scholarly journals The Relationship between Government Expenditures and Revenues in Algeria During the Period (1990-2019): Granger Causality Approach

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Abdelkader Sahed ◽  
Mohammed Mékidiche ◽  
Hacen Kahoui
Keyword(s):  
Causal Relationship ◽  
Granger Causality ◽  
Government Expenditure ◽  
Granger Causality Test ◽  
Government Expenditures ◽  
Causality Test ◽  
Kpss Test ◽  
Adf Test ◽  
The Relationship

The aim of this study is to examines the causal relationship between government revenues and expenditures in Algeria during the period 1990 to 2019. Data properties were analyzed to determine their stationarity using the Dickey-Fuller (ADF) test, Phillips-Perron test and Kwiatkowski, Phillips, Schmidt, Shin (KPSS) test, as well as the Granger Causality Test (1969) of showing the direction. The results show that there is unidirectional causal relationship between government expenditure and revenue with the direction of causality running from government revenues to expenditures.

scholarly journals The Validity of Wagner’s Law in India: A Post-liberalisation Analysis

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Suraj Sharma ◽  
Surendra Singh
Keyword(s):  
Granger Causality ◽  
Urban Population ◽  
Public Expenditure ◽  
Government Expenditure ◽  
National Income ◽  
Causality Test ◽  
Wagner’S Law ◽  
Long Run ◽  
Percent Increase ◽  
Wagner's Law

Aims: The present study attempts to analyse the behavior of government expenditure in relation to national income using most appropriate advanced econometric techniques to test the Wagner’s law of increasing State’s activity in Indian scenario during the post-liberalisation period of 1988 to 2017. Data: The study uses the IMF database entitled “International Financial Statistics” and World Bank database entitled “World Development Indicators” for testing Wagner’s law for the Indian economy. Methodology: The study employs appropriate econometric techniques to our model where government expenditure is used as regressand and gross domestic product and urbanisation is used as regressors. The study first investigates for unit roots in data using ADF and PP tests. Further, to investigate any co-integration among variables the study employed Johansen co-integration test. Once co-integration is confirmed, a vector error correction model has been estimated and lastly, Granger causality test is applied to check for any causality. Results: The results of Vector Error Correction Model reveal that both the Gross Domestic Product and the urban population have a positive and statistically significant effect on government expenditure in the long-run. Ceteris paribus, every 1.0 percent increase in GDP leads 0.36 percent increase in government expenditure. On the other hand, 1.0 percent increase in urban population leads to a 3.75 percent increase in government expenditure. The Granger causality results divulge that there is unidirectional causality running from urban population to government expenditure, whereas neither unidirectional nor bidirectional causality was found between GDP and public expenditure. In short-run, neither GDP nor urban population influences public expenditure. Conclusion: To sum up, the present investigation provides support for Wagner’s law in case of India in the long run only. It has been found that urbanisation has a greater impact on public expenditure than the national income (GDP) and which is also supported by Granger causality test showing significant unidirectional causality running from level of urbanisation to government expenditure.

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