Relationships between Financial Development, Trade Openness, and Economic Growth

2015 ◽  
pp. 183-196
Author(s):  
Fahri Seker ◽  
Murat Cetin ◽  
Birol Topcu ◽  
Gamze Yıldız Seren
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Long Run ◽  
Short Run

The aim of this chapter is to investigate the cointegration and causal relationship between financial development, trade openness, and economic growth in Turkey for the period of 1980-2012. To analyze the data, the bounds testing and Johansen-Juselius approaches to cointegration and Granger causality test based on vector error-correction model are employed. The cointegration tests suggest that there is a long-run relationship between the variables. The Granger causality test reveals long-run bidirectional causality between trade openness and economic growth. The findings also indicate unidirectional causality running from financial development to trade openness and economic growth in the long run as well as a bi-directional causality between financial development and economic growth in the short run. The results support supply-leading and trade-led growth hypotheses. Therefore, it can be suggested that Turkey can accelerate its economic growth by improving its financial systems and encouraging foreign trade.

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 TRADE OPENNESS AND ECONOMIC GROWTH: EMPIRICAL EVIDENCE FROM INDIA

2014 ◽  
Vol 16 (1) ◽  
pp. 188-205 ◽  
Author(s):  
Qazi Muhammad Adnan Hye ◽  
Wee-Yeap Lau
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Granger Causality ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Causality Test ◽  
Long Run ◽  
Rolling Window ◽  
Short Run ◽  
The Impact

The main objective of this study is to develop first time trade openness index and use this index to examine the link between trade openness and economic growth in case of India. This study employs a new endogenous growth model for theoretical support, auto-regressive distributive lag model and rolling window regression method in order to determine long run and short run association between trade openness and economic growth. Further granger causality test is used to determine the long run and short run causal direction. The results reveal that human capital and physical capital are positively related to economic growth in the long run. On the other hand, trade openness index negatively impacts on economic growth in the long run. The new evidence is provided by the rolling window regression results i.e. the impact of trade openness index on economic growth is not stable throughout the sample. In the short run trade openness index is positively related to economic growth. The result of granger causality test confirms the validity of trade openness-led growth and human capital-led growth hypothesis in the short run and long run.

scholarly journals Economic Growth, Domestic Investment, Real Exchange Rate and Trade Openness in India: A multi-cointegration analysis

2016 ◽  
Vol 12 (3) ◽  
pp. 169-184
Author(s):  
Md. Samsur Jaman
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Real Exchange Rate ◽  
Granger Causality ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Domestic Investment ◽  
Causality Test ◽  
Long Run ◽  
Short Run

This study examines the relationships between economic growth, gross domestic investment, real exchange rate and trade openness in Indian Economy using the Johansen –Juselius cointegration test and VEC Granger causality test. The results suggest that there exists a long-run relationship among the variables. All the estimated coefficients of the long-run equation have the correct positive signs and significant at least at the 5 per cent level. Specifically, in the long run, a 1% increase in Gross Domestic Investment (GDI) increases 0.066% in economic growth. Similarly, a 1% increase in trade openness leads to 0.082% increase in economic growth and a 1% increase in real exchange rate leads to 0.26% increase in economic growth. Thus, in the long run, Gross Domestic Investment (GDI), trade openness and real exchange rate have positively impact on economic growth. The results from the VEC Granger causality test suggest that in the short run only economic growth has short run impact on Gross Domestic Investment (GDI). The other variables have no short run impact on each other. Thus, there is a unidirectional causality from economic growth to GDI, but there is no feedback effect.

scholarly journals The Relation between Tourism and Economic Growth: A Case of Saudi Arabia as an Emerging Tourism Destination

2020 ◽  
Vol 3 (4) ◽  
pp. 29-47
Author(s):  
Lamia Jamel
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Granger Causality ◽  
Co2 Emissions ◽  
Financial Development ◽  
Positive Impact ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Annual Data ◽  
Causality Test

This paper examines empirically the relation between tourism and economic growth in Saudi Arabia. The authors try to justify how tourism contributes to the economic growth of Saudi Arabia. There are applied descriptive statistics, unit root test, VAR model and Granger Causality test as an econometric methodology to examine the connection between tourism and economic growth in Saudi Arabia for the annual data in the period from 1990 to 2018. The main empirical results of the study find out that tourism affects positively the economic growth in Saudi Arabia. Also, there is found a positive nexus among tourism and economic growth. Furthermore, CO2 emissions and financial development impact positively the tourism sector, while trade openness predicts a negative effect on tourism. Additionally, CO2 emissions, financial development, and trade openness have a positive impact on economic growth in Saudi Arabia. Finally, the Granger causality test provides evidence of bidirectional nexus between tourism and economic growth in Saudi Arabia. This paper contributes to the current research by explaining the causal nexus among tourism and economic growth in Saudi Arabia during the period from 1990 to 2018, applying a vector autoregressive model and Granger Causality.

The Relevance of the Tourism-Led Growth Hypothesis to Malaysia

2017 ◽  
pp. 188-202 ◽  
Author(s):  
Chor Foon Tang ◽  
Eu Chye Tan
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Developed Countries ◽  
Causality Test ◽  
Full Sample ◽  
Aggregated Data ◽  
Long Run ◽  
Short Run ◽  
Disaggregated Data

This paper explored whether the tourism-led growth (TLG) hypothesis is empirically relevant to Malaysia based upon both full sample and rolling sample analyses. Data from January 1995 to December 2010 have been utilised for the purpose. Instead of relying upon aggregated data of tourist arrivals, disaggregated data of arrivals from 12 major tourism markets are relied upon for more insightful and accurate findings. The empirical results suggest that there was cointegration between Malaysia's economic growth and tourist arrivals from these tourism markets. However, the results of the full sample Granger causality test indicate that only 2 out of 12 tourism markets contributed to economic growth in the short-run. The TLG hypothesis is only supported in the long run by tourist arrivals from 10 out of the 12 tourism markets. The rolling-based Granger causality test shows that it is also these 10 markets situated mostly in developed countries that could provide a stable support for the TLG hypothesis.

scholarly journals Government Spending and Economic Growth in Ghana: Evidence from Granger Causality Analysis

2017 ◽  
Vol 3 (2) ◽  
pp. 50-58 ◽  
Author(s):  
Lucy Anning ◽  
Wang Haisu ◽  
Joshua Sunday Riti
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Government Spending ◽  
Causality Analysis ◽  
Economic Activities ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

In spite of the diverse major issues affecting the economy of Ghana over the years, the economy continues to experience a downward spiral in its economic growth. Taking into account three opining views regarding government spending and economic growth, this study sets to investigate the causal nexus fractious and economic growth in Ghana. We apply the autoregressive distributed lag (ARDL) bounds testing approach to co-integration and the vector error correction model (VECM)-Granger causality test to evaluate both long- and short-run parameters including the direction of causation with data spanning from 1980 and 2015.The empirical results show evidence of co-integration for the existence of a long-run relationship between the dependent and independent variables. The Granger causality tests, in addition, indicated causal independence between government spending and economic growth within the time framework of the study in the economy of Ghana. Government spending has a cause effect on economic growth in Ghana. However, government spending channeled into a more fractious use with the building of resilience and infrastructural development that are self-liquidating if encouraged will enhance economic activities in the short run and also propel growth in the long run in the Ghana.

scholarly journals Energy consumption and economic growth in Ethiopia: A dynamic causal linkage

2018 ◽  
Vol 29 (8) ◽  
pp. 1393-1412 ◽  
Author(s):  
Sheilla Nyasha ◽  
Yvonne Gwenhure ◽  
Nicholas M Odhiambo
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Trade Openness ◽  
Bounds Testing ◽  
Policy Makers ◽  
Long Run ◽  
Short Run ◽  
Variable Bias ◽  
Causality Model

In this study, we have explored the causal relationship between energy consumption and economic growth in Ethiopia, during the period from 1971 to 2013. We have employed a multivariate Granger-causality framework that incorporates financial development, investment and trade openness as intermittent variables – in an effort to address the omission-of-variable bias. Based on the newly developed ARDL bounds testing approach to co-integration and the error-correction model-based causality model, our results show that in Ethiopia, there is a distinct unidirectional Granger-causality from economic growth to energy consumption. These results apply, irrespective of whether the estimation is done in the short run or in the long run. We recommend that policy makers in Ethiopia should consider expanding their energy-mix options, in order to cope with the future demand arising from the real sector growth.

scholarly journals Petroleum Consumption and Financial Development in Malaysia

2016 ◽  
Author(s):  
Jen-Eem Chen ◽  
Yan-Ling Tan ◽  
Chin-Yu Lee ◽  
Lim-Thye Goh
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Financial Sector ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

This paper aims to contribute to the existing literature by examining the dynamic relationship among petroleum consumption, financial development, economic growth and energy price. The sample of this study is based on the Malaysian annual data from 1980 to 2010. The model specification was examined in the Autoregressive Distributed Lag (ARDL) framework and the results revealed the existence of a long-run equilibrium. The findings indicated that financial development and economic growth cause a demand for energy to escalate in the long run. The Toda-Yamamoto (TYDL) non Granger-causality test provides evidence that there is unidirectional Granger-causality running from financial development and economic growth to energy consumption in the long run. This suggests that Malaysia is not an energy-dependent country. Hence, the government could implement energy conservation policies to reduce the waste of energy use. Given that development in the financial sector, and economic growth increase petroleum consumption in Malaysia, the policies pertaining to energy consumption should incorporate the development of the financial sector and economic growth of country.   Keywords: Petroleum consumption, financial development, non-renewable energy, Autoregressive Distributed Lag (ARDL), Toda-Yamamoto (TYDL) non Granger-causality test

scholarly journals The Causal Relationship Between Institutions and Economic Growth: An Empirical Investigation for Pakistan Economy

2019 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Danish Ahmed Siddiqui ◽  
Qazi Masood Ahmed
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Economic Performance ◽  
Empirical Investigation ◽  
Institutional Quality ◽  
Granger Causality Test ◽  
Causality Test ◽  
Long Run ◽  
Study Results ◽  
Short Run

This paper investigates relationship between institutional quality and economic performance in Pakistan using the Johansen-Juselius cointegration technique and the Granger causality test. The study results indicate that Institutions and growth are cointegrated and thus exhibit a reliable long run relationship. The Granger causality test findings indicate that the causality between Institutions and growth is uni-directional.However, there is no short run causality from Institutions to growth and vice versa. Therefore, as a policy implication that institutional quality may cause to the sustainable increase in country’s income in the long run, and success of any policy could be influenced by the soundness of institutions.

scholarly journals Time Series Analysis among Tourism, Financial Development, FDI and Economic Growth in Jordan

2018 ◽  
Vol 10 (12) ◽  
pp. 150
Author(s):  
Muthana Mohammad Omoush
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Bounds Testing ◽  
Causality Test ◽  
Fdi Inflows ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
The Relationship

This study investigates the relationships among tourism, financial development, FDI inflows and economic growth in Jordan for the (1985-2016) period. The current paper has used bounds testing approach to confirm the relationship among the study variables. Multivariate Granger causality test is used to determine the directions of causality between the study variables. The results confirmed that there is evidenced of relationships among tourism, financial development, FDI inflows and economic growth. Also, the multivariate Granger causality test confirmed deferent directions of causal among the study variables.

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