scholarly journals INVESTIGATION OF THE RELATIONSHIP BETWEEN TRADE OPENNESS AND ECONOMIC GROWTH IN THE CASE OF CHINA

2017 ◽  
Vol 5 (7) ◽  
pp. 199-213
Author(s):  
Masoud Ali Khalid ◽  
Khalid Hayder A.Ali
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Trade Openness ◽  
Capital Formation ◽  
Sample Period ◽  
Ardl Model ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
The Relationship

In this paper, we have investigated the relationship between trade openness and long-run economic growth over the sample period 1960–2015, utilizing ARDL model. We found evidence that trade openness is directly correlated with economic growth in the long run. Furthermore, Granger Causality tests recommended that a change in trade openness impacts the long-run of economic growth through the interaction with gross capital formation in the case of China.

New Evidence of Dynamic Links between Tourism and Economic Growth Based on Mixed-Frequency Granger Causality Tests

2017 ◽  
Vol 57 (7) ◽  
pp. 899-907 ◽  
Author(s):  
Han Liu ◽  
Haiyan Song
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Large Body ◽  
P Value ◽  
Mixed Frequency ◽  
Causality Tests ◽  
Short Run ◽  
Empirical Regularities ◽  
Granger Causality Tests ◽  
The Relationship

The relationship between tourism and economic growth has created a large body of literature investigating the hypotheses of tourism-led economic growth (TLEGH) and economy-driven tourism growth (EDTGH). In this article, we use mixed-frequency Granger causality tests to investigate the relationship between the two types of growth in Hong Kong from 1974 to 2016. Our analysis reveals the following empirical regularities. First, the hidden short-run causality of TLEGH is detected, and EDTGH is proved in the short run and also in the long run when Granger causality tests are performed in a mixed-frequency framework. Second, mixed-frequency Granger tests demonstrate more power in testing the TLEGH and EDTGH via the rejection frequencies (bootstrap p value). Finally, rolling Granger causality tests reveal an unstable relationship between tourism and economic growth in both magnitude and direction, and the relationship is highly economic- and tourism-event-dependent.

scholarly journals Infrastructure Investment as a Panacea for Sustainable Economic Growth in Nigeria: A Granger Causality Tests Analysis

2019 ◽  
pp. 1-8
Author(s):  
Cyprian Clement Abur
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Job Creation ◽  
Infrastructure Investment ◽  
Test Results ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Sustainable Economic Growth

This paper employed Granger causality tests amid infrastructure spending, economic growth, and employment in Nigeria for the period 1960-2017 using vector autoregression (VAR) model. The result showed a strong causality between infrastructure investment and economic growth in Nigeria. Findings of the study shows a strong underlying relationship between e infrastructure investment and job creation. Economic growth seems to be the key drivers of government jobs and that the private sector jobs drives growth, however, public jobs have not been able to translates into additional jobs in the economy. The bounds test results specify the presence of long-run equilibrium relationship between infrastructure investment, economic growth, job creation and output thereby providing a theoretical underpinning for the empirical results.

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 Examining the Relationship Between Energy Consumption, Economic Growth and Environmental Degradation Indonesia: Do Capital and Trade Openness Matter?

2021 ◽  
Vol 10 (4) ◽  
pp. 769-778
Author(s):  
Nurul Anwar ◽  
Khalid Eltayeb Elfaki
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Degradation ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Capital Formation ◽  
Fixed Capital ◽  
Long Run ◽  
Fixed Capital Formation ◽  
The Relationship

This paper examines the relationship between energy consumption, economic growth, and environmental degradation in Indonesia in 1965-2018 with the inclusion of gross capital formation and trade openness as relevant factors. The autoregressive distributed lag model to cointegration, fully modified ordinary least squares, dynamic ordinary least squares, and canonical cointegrating regression approach applied to estimate this relationship. The result of cointegration confirms the existence of a cointegration relationship between energy consumption, economic growth, gross fixed capital formation, trade openness, and environmental degradation. The empirical result, in the long run, indicates that energy consumption, economic growth, and trade openness have a positive relationship with environmental degradation. However, the gross fixed capital formation was found to be negatively associated with environmental degradation. This implying that gross fixed capital formation plays a pivotal role to reduce environmental degradation in Indonesia.  The error correction model coefficient indicates that the deviation of CO2 emissions from its long run equilibrium will be adjusted by 0.53% through the short run channel per annual. The findings of this paper propose implementing an energy policy that focuses on energy from environmentally friendly sources. Reverse the effect of openness to the international markets to improve and facilitate access to advanced and environmentally friendly technologies to mitigate environmental degradation and improve environmental quality.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

scholarly journals FDI and Economic Growth in EU13 Countries: Cointegration and Causality Tests

2020 ◽  
Vol 12 (3) ◽  
pp. 47-63
Author(s):  
Vlatka Bilas ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
European Union ◽  
Annual Data ◽  
Foreign Direct Investments ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
Causality Tests ◽  
The Relationship

Foreign direct investments are seen as a prerequisite for gaining and maintaining competitiveness. The research objective of this study is to examine the relationship between foreign direct investment (FDI) and economic growth in “new” European Union member countries using various unit root, cointegration, as well as causality tests. The paper employs annual data for FDI and gross domestic product (GDP) from 2002 to 2018 for the 13 most recent members of European Union (EU13): Bulgaria, Croatia, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia and Slovenia. An estimated panel ARDL (PMG) model found evidence that there is a long-run equilibrium between the LogGDP, LogFDI and LogFDIP series, with the rate of adjustment back to equilibrium between 3.27% and 20.67%. In the case of the LogFDI series, long-run coefficients are highly statistically significant in all four models, varying between 0.0828 and 0.3019. These coefficients indicate that a 1% increase in LogFDI increases LogGDP between 0.0828% and 0.3019%. Results of a Dumitrescu-Hurlin panel causality test indicated that a relationship between the GDP growth rate and FDI growth rate is only indirect. Finally, only weak evidence was shown that FDI had a statistically significant impact on GDP in the EU13 countries over the period 2002-2018. This report of findings contributes to the literature concerning FDI and economic growth, namely regarding the current understanding of the relationship between these two factors.

scholarly journals Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

scholarly journals An analysis of the relationship of inflation and unemployment to the gross domestic product (gdp) in zimbabwe

2014 ◽  
Vol 1 (3) ◽  
pp. 156-162
Author(s):  
Tendai Makoni
Keyword(s):  
Time Series ◽  
Gross Domestic Product ◽  
Cointegration Test ◽  
Domestic Product ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Relationship Of ◽  
The Relationship ◽  
Yearly Data

The time series yearly data for Gross Domestic Product (GDP), inflation and unemployment from 1980 to 2012 was used in the study. First difference of the logged data became stationary as suggested by the time series plots. Johansen Maximum Likelihood Cointegration test indicated a long-run relationship among the variables. Granger Causality tests suggested unidirectional causality between inflation and GDP, implying that GDP is Granger caused by inflation in Zimbabwe. Another unidirectional causality was noted between unemployment and inflation. The causality between unemployment and inflation imply that unemployment do affect GDP indirectly since unemployment influences inflation which in turn positively affect GDP.

scholarly journals Dynamic Relationship Between Energy and Economic Growth: Evidence from D8 Countries.

2011 ◽  
Vol 50 (4II) ◽  
pp. 437-458 ◽  
Author(s):  
Sarwat Razzaqi ◽  
Faiz Bilquees ◽  
Saadia . Sherbaz
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Energy Use ◽  
Demand And Supply ◽  
Dynamic Relationship ◽  
Long Run ◽  
Production And Consumption ◽  
Short Run ◽  
Oil Embargo ◽  
The Relationship

Energy sector has a vital influence on an economy, on both demand and supply sides. Therefore, energy production and consumption bear great importance for the developing world. The oil embargo of 1970‘s and its impact on major macroeconomic variables throughout the world attracted many economists to examine the relationship between energy and economic prosperity. The researchers have been unable to establish a definitive direction of causality between the two variables. The purpose of this study is to empirically investigate the dynamic relationship between energy use and economic growth in the D8 countries. The evidence gathered through application of VAR Granger Causality, Johansen Cointegration and VECM proves existence of short-run and long-run correlation between energy use and economic development in all countries. The results supported either uni-directional or bi-directional causality in the D8 countries except for Indonesia in short-run where non-causality was established between the two variables. JEL classifications: C22; Q43. Keywords: Energy Use, Economic Growth, D8, VAR Granger Causality, Cointegration, VECM

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