Causality relationship between energy consumption, economic growth, FDI, and globalization in SSA countries: a symbolic transfer entropy analysis

2020 ◽  
Vol 27 (35) ◽  
pp. 44623-44628
Author(s):  
Seyi Saint Akadiri ◽  
Ahdi Noomen Ajmi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Transfer Entropy ◽  
Entropy Analysis ◽  
Symbolic Transfer Entropy ◽  
Causality Relationship ◽  
Ssa Countries

scholarly journals Energy consumption, economic growth, foreign direct investment and globalization causality nexus in OECD countries: a symbolic transfer entropy analysis

2021 ◽  
Vol 10 (4) ◽  
pp. 408-415
Author(s):  
Ahdi Noomen AJMI ◽  
Seyi Saint Akadiri
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Direct Investment ◽  
Oecd Countries ◽  
Transfer Entropy ◽  
Entropy Analysis ◽  
Causality Test ◽  
Symbolic Transfer Entropy

In this paper, we investigate the validity and usefulness of the symbolic transfer entropy (STE) test for longitudinal data by examining causality relationships among foreign direct investment, energy consumption, globalization and economic growth respectively, between the periods 1970-2015 using Organization for Economic Co-operation and Development (OECD) countries as a case study. Also, a comparison to validate or contrast with other existing studies results generated using other forms of causality test is given. Our findings suggest that the STE causality test is suitable approach for our OECD panel of countries.

scholarly journals Causality Relationship between Energy Consumption and Economic Growth in Brazil

2014 ◽  
Vol 05 (08) ◽  
pp. 198-205 ◽  
Author(s):  
Hsiao-Tien Pao ◽  
Yi-Ying Li ◽  
Hsin-Chia Fu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causality Relationship

scholarly journals Identifying Causality Relationship between Energy Consumption and Economic Growth in Developed Countries

2017 ◽  
Vol 1 (2) ◽  
pp. 71 ◽  
Author(s):  
Hasan Dinçer ◽  
Serhat Yüksel ◽  
Zafer Adalı
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Developed Countries ◽  
Annual Data ◽  
Causality Analysis ◽  
Panel Causality ◽  
Bidirectional Relationship ◽  
Causality Relationship ◽  
Economic Improvement

The main purpose of this study is to evaluate the causality relationship between energy consumption and economic growth for developed countries. Within this context, annual data of 22 developed countries was examined by using Dumitrescu Hurlin panel causality analysis. As a result, it was determined that that there is a bidirectional relationship between energy consumption and economic improvement for developed countries. This condition provides two different results. Firstly, energy consumption has an influence on economic development for these countries. While considering this result, it can be said that any limitation in energy consumption will restrict economic growth. Moreover, it was also concluded that level of economic growth is the main reason of energy consumption for developed countries. In other words, developed countries tend to have more energy consumption when their economies are growing.

Empirical research on the relationship between natural gas consumption and economic growth in the Northeast Asia

2018 ◽  
Vol 29 (2) ◽  
pp. 216-231 ◽  
Author(s):  
Li Zhi-Guo ◽  
Han Cheng ◽  
Wei Dong-Ming
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Natural Gas ◽  
Granger Causality ◽  
Northeast Asia ◽  
Gas Consumption ◽  
Causality Relationship ◽  
Natural Gas Consumption ◽  
The Impact ◽  
The Relationship

The Northeast Asia, as one of the most rapidly development regions, has a large amount of energy consumption. Therefore, it is very significant to study the relationship between natural gas consumption and economic growth in the Northeast Asia. This paper builds Panel Data Model to study the relationship between natural gas consumption and economic growth in China, Japan, and Korea from 1991 to 2015, on the basis of analyzing the impact mechanism that natural gas has on economic growth. This paper finds that the Japan’s elasticity coefficient of natural gas consumption is the highest, whereas Korea’s is the lowest, and China’s is in the middle of these two countries, because of countries’ different development level and energy consumption mode. Moreover, the results of Granger causality relationship test show that there is only one-way Granger causality relationship between natural gas consumption and economic growth of China, but no causal relationship is found for Japan and Korea.

scholarly journals Analysis of Causality Relationship Energy Consumption and CO2 Emissions to Economic Growth based on the LEAP Model Case Study of Energy Consumption in Indonesia 2010-2025)

2018 ◽  
Vol 73 ◽  
pp. 01002
Author(s):  
Candra Arie Nugrahanto ◽  
Jaka Windarta ◽  
Jaka Aminata
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Interpolation Method ◽  
Competitive Growth ◽  
Model Case ◽  
Policy Scenario ◽  
Causality Relationship ◽  
Growth Energy ◽  
Relationship Of ◽  
High Scenario

This study discusses scenarios and analyzes the causal relationship of energy consumption and CO2 emissions to economic growth in Indonesia period 2010-2025. The modeling scenario is divided into 6 sections, namely BAU scenario, High scenario, Low scenario, High-Low scenario, Low-High scenario and Policy scenario. The result of scenario data is processed by performing statistical data modeling and econometric period 2010-2025. The research method used interpolation method and causality testing method. The tools are used in this research is LEAP and EViews. LEAP is used for energy modeling as well as CO2 emissions and EViews is used to manage data, analyze econometrics and statistics. The results of this study show that economic growth, energy consumption and CO2 emissions at 6 scenario indicate fluctuated competitive growth. This study proves that only 1 scenario has direct causality relationship that is only energy consumption which statistically significant influence economic growth in Policy scenario. For economic growth and CO2 emissions there are 4 scenarios that have direct causality (BAU, High, High -Low, Low-High scenario), 1 scenario has no causality relationship (Low scenario) and 1 scenario has two -way causality relationship (Policy scenario).

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