An investigation on the causal relationships between banking concentration and economic growth

2008 ◽  
Vol 17 (3) ◽  
pp. 557-570 ◽  
Author(s):  
Paolo Coccorese
Keyword(s):  
Economic Growth ◽  
Causal Relationships ◽  
Banking Concentration

How Does Innovation Affect Economic Growth? Evidence from G20 Countries

2021 ◽  
pp. 001946622110635
Author(s):  
Ajoy K Sarangi ◽  
Rudra P. Pradhan ◽  
Tamal Nath ◽  
Rana P. Maradana ◽  
Hiranmoy Roy
Keyword(s):  
Economic Growth ◽  
Causal Relationships ◽  
Jel Codes ◽  
The Real ◽  
Real Effects ◽  
Long Run ◽  
Short Run ◽  
Shed Light

We study the interactions between innovation and economic growth in G20 countries over 1961–2019. We establish whether there is a temporal causality between these two variables. Employing the autoregressive distributive lag framework, our results expose a grid of short-run and long-run causal relationships between innovation and growth, including long-run unidirectional causality from innovation to economic growth. Overall, our findings shed light on the real effects of innovation on economic growth. JEL Codes: O38, O31, O32

scholarly journals Linear and Nonlinear Causal Relationships Between International Reserves and Economic Growth: Evidence from India

2020 ◽  
Vol 16 (1) ◽  
pp. 54-59
Author(s):  
Mohammad Kashif ◽  
Satish Kumar Singh ◽  
S. Thiyagarajan ◽  
Abhishek Maheshwari
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
International Reserves ◽  
Infrastructure Development ◽  
Causal Relationships ◽  
Causality Test ◽  
Linear And Nonlinear ◽  
Bds Test

This study investigates linear and nonlinear causal relationships between accumulated international reserves (IR) and economic growth (Econ) in the case of India. The present study is carried out using quarterly data ranging from the period of the first quarter of 1985 to the fourth quarter of 2014. The study used econometric tools such as the augmented Dickey–Fuller (ADF) unit root test, the linear Granger causality test, Johansen’s cointegration test, the Brock, Dechert and Scheinkman (BDS) test and the nonlinear Granger causality test developed by Hiemstra and Jones. The study establishes that there exists a bidirectional linear causality. The Hiemstra and Jones test reveals a bidirectional nonlinear causal relationship between the variables. In light of these results, the study suggests that reserves accumulation can be implemented in India provided that excess of reserves are invested in alternative sources such as economic infrastructure projects and regional infrastructure development.

scholarly journals Reviewing the Equilibrium and Causal Relationships between Stock Market Development and Economic Growth in Jordan

2019 ◽  
Vol 11 (12) ◽  
pp. 37
Author(s):  
Eyad M. Malkawi
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Developing Economies ◽  
Market Development ◽  
Causal Relationships ◽  
Stock Market Development ◽  
Ardl Approach ◽  
Show Evidence ◽  
The Relationship

The relationship between stock market development and economic growth has been diversely investigated by many researchers. This paper investigates the equilibrium and causal relationships between stock market development and economic growth in Jordan for the 1980-2018 period. It employs the ARDL approach and the results show evidence of a co-integration and causal relationships between variables. These results are broadly consistent with similar studies carried out for other developing economies.

scholarly journals Trade Openness and Economic Growth in Turkey: A Rolling Frequency Domain Analysis

Economies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 41 ◽  
Author(s):  
Emrah İ. Çevik ◽  
Erdal Atukeren ◽  
Turhan Korkmaz
Keyword(s):  
Economic Growth ◽  
Frequency Domain ◽  
Trade Openness ◽  
Frequency Domain Analysis ◽  
Causal Relationships ◽  
Causality Test ◽  
Time Period ◽  
The Face ◽  
The Relationship

Taking Turkey’s experience as a case study, this study provides further insights into the evaluation of time-varying Granger-causal relationships in the trade openness and economic performance nexus. We reinvestigated the Granger-causal relationships between trade openness and real economic growth in Turkey for the time period 1950–2014. We employed a rolling version of Breitung and Candelon’s frequency domain Granger-causality test, which allowed us to identify the changes in the nature of the causal relationships overtime. Hence, in the face of different results found in the literature overtime, our study provides a more unified evidence on the relationship between trade openness and real economic growth in Turkey. In addition, we found empirical evidence for the possibility of a distinct temporal ordering in a feedback relationship between trade openness and economic growth. We called this situation “sequential feedback”.

scholarly journals Investigating the Causal Relationships among Carbon Emissions, Economic Growth, and Life Expectancy in Turkey: Evidence from Time and Frequency Domain Causality Techniques

2021 ◽  
Vol 13 (5) ◽  
pp. 2924
Author(s):  
Husam Rjoub ◽  
Jamiu Adetola Odugbesan ◽  
Tomiwa Sunday Adebayo ◽  
Wing-Keung Wong
Keyword(s):  
Economic Growth ◽  
Life Expectancy ◽  
Frequency Domain ◽  
Causal Relationship ◽  
Carbon Emissions ◽  
Time Series Data ◽  
Wavelet Coherence ◽  
Series Data ◽  
Causal Relationships ◽  
Long Run

It is not a gainsaying that challenges to both healthy living and the environment are the result of deteriorating environmental quality with the attendant effect on environmental sustainability. To provide a solution to the issue, our study uses long time-series data from 1960 to 2018, and employs an overlapping generational model, the Bayer–Hanck cointegration test, wavelet coherence, Fourier Toda–Yamamoto, and Breitung–Candelon frequency-domain spectral causality tests to investigate the causal relationships among carbon emissions (CO2), economic growth (GDP), and life expectancy (LE) in Turkey. Different from the literature, we find a positive co-movement between life expectancy and CO2 and a positive correlation between LE and GDP at different scales; CO2 has a causal relationship with LE and a bidirectional causal relationship between LE and GDP, as well as short, medium, and long-run causal relationships with LE; GDP has medium and long-run causal relationships with LE, and LE has short, medium, and long-run causal relationships with GDP. Our findings guide policymakers on their policy decision-making that will address the energy consumption, environmental degradation, human health, environmental hazards, and allocation to science and technology in Turkey with the aim of ensuring overall sustainable development.

scholarly journals The Robust Causal Relationships Among Domestic Tourism Demand, Carbon Emissions, and Economic Growth in China

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110544
Author(s):  
Yonglian Wang ◽  
Lijun Wang ◽  
Han Liu ◽  
Yongjing Wang
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Carbon Emissions ◽  
Granger Causality Test ◽  
Tourism Industry ◽  
Total Carbon ◽  
Causal Relationships ◽  
Causality Test ◽  
Domestic Tourism ◽  
Tourism Revenue

Green and low-carbon development has become a compelling trend of our time. To formulate policies for development and also reduction of carbon emissions, quantifying the trend of tourism in green sustainable development is an essential issue for China, which is undergoing an economic transformation. This study first measured China’s domestic tourism carbon emissions through a bottom-up approach and then used the robust Granger causality test on annual data from 1993 to 2019 to investigate the relationships among China’s domestic tourism revenue, carbon emissions, and economic growth. The empirical results show that: (1) Carbon emissions of the domestic tourism industry are growing steadily, and the carbon emissions of the transportation industry determine the trend of the total carbon emissions of the domestic tourism industry, (2) long-term equilibrium relationships exist among China’s domestic tourism, carbon emissions, and economic growth, and (3) bidirectional causal relationships among economic growth, carbon emissions, and domestic tourism revenue have been detected with the robust Granger causality test, and the time-varying causal relationships may change markedly in these times of significant events and policy changes. Therefore, policymakers should coordinate the relationships among domestic tourism revenue, carbon emissions, and economic growth, in an effort to promote the development of sustainable tourism in China.

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