scholarly journals Another Look into the Relationship between Economic Growth, Carbon Emissions, Agriculture and Urbanization in Thailand: A Frequency Domain Analysis

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5132
Author(s):  
Mário Nuno Mata ◽  
Seun Damola Oladipupo ◽  
Rjoub Husam ◽  
Joaquim António Ferrão ◽  
Mehmet Altuntaş ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Frequency Domain ◽  
Co2 Emissions ◽  
Frequency Domain Analysis ◽  
Causal Connection ◽  
Causality Test ◽  
Macroeconomic Indicators ◽  
The Relationship

This empirical study assesses the effect of CO2 emissions, urbanization, energy consumption, and agriculture on Thailand’s economic growth using a dataset between 1970 and 2018. The ARDL and the frequency domain causality (FDC) approaches were applied to assess these interconnections. The outcome of the bounds test suggested a long-term association among the variables of investigation. The ARDL outcomes reveal that urbanization, agriculture, energy consumption, and CO2 emissions positively trigger Thailand’s economic growth. Additionally, the frequency domain causality test was used to detect a causal connection between the series. The main benefit of this technique is that it can detect a causal connection between series at different frequencies. To the understanding of the authors, this is the first study in the case of Thailand that will apply the FDC approach to capture the causal linkage between GDP and the regressors. The outcomes of the causality test suggested that CO2 emissions, urbanization, energy consumption, and agriculture can predict Thailand’s economic growth in the long term. These outcomes have far-reaching implications for economic performance and Thailand’s macroeconomic indicators.

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”.

Can conventional energy be replaced by renewable energy without harming economic growth in non-oil-MENA? Evidence from Granger causality in VECM

2019 ◽  
Vol 15 (2) ◽  
pp. 159-168
Author(s):  
Badry Hechmy
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Granger Causality ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Content Type ◽  
Investigation Methods ◽  
The Relationship

Purpose The purpose of this paper is to examine the relationship between renewable energy consumption and economic growth in non-oil countries in the Middle East and North Africa (non-oil-MENA) during the period from 2000 to 2014. The Pedroni (2000) test shows that there is a long-term cointegration relationship between those variables; however, the Granger causality test in the vector error correction model (VECM) shows that this relationship is bidirectional in the short and long term. Thus, to ensure sustainable economic growth without pollution and to reduce dependence on abroad, renewable energies can be chosen as substitutes for conventional energies in the non-oil-MENA countries. Design/methodology/approach First, LLC and IPS unit root tests are used to test the variables stationarity; and, second, Pedroni panel cointegration and Engle–Granger causality by VECM analysis are used to check the relationship between the studied variables. Findings Empirical results show that the renewable energy consumption and economic growth are cointegrated and that there are two-way causal relationships between them in the long and in the short term. These countries must therefore encourage the consumption of renewable energy instead of traditional energy to reduce their dependence on energy from abroad and CO2 pollution. Originality/value The originality of this work lies in the measurements of the study variables and the empirical investigation methods used.

Study of the Relationship among Economic Growth, Export and Energy Consumption in China

2014 ◽  
Vol 694 ◽  
pp. 542-546
Author(s):  
Xiao Wei Yang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Analytical Framework ◽  
Test Method ◽  
Causality Test ◽  
Equilibrium Relationship ◽  
The Relationship

This paper uses co-integration theories and Granger causality test method to analyze the inter-linkages among China's economic growth, export and energy consumption within a unified analytical framework. The results show that there exists a long-term equilibrium relationship between economic growth, exports and energy consumption, and economic growth and exports both promote energy consumption in the long term. Furthermore, there exist bi-directional Granger causality between economic growth and energy consumption, export and energy consumption respectively.

Empirical Research of the Relationship between Energy Consumption and Economic Growth in Beijing

2014 ◽  
Vol 962-965 ◽  
pp. 2220-2224
Author(s):  
Jie Yang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Integration Test ◽  
The Relationship

This paper investigates the dynamic causal relationship between energy consumption and economic growth in Beijing over the period 1980-2012. The Johansen co-integration test, Granger causality test and the vector error correction model (VECM) are used to calculate the causal relationship between energy consumption and economic growth. The conclusion is that there exists a co-integration relationship between energy consumption and economic growth, and this relationship is a one way relationship from economic growth to energy consumption. Further, using VECM, the long-term and short-term elasticity from economy to energy consumption are 0.43 and 0.14 separately. Statistical analysis shows that, from 1980 to 2011, every 1% growth in GDP annually would drive energy consumption increasing rate by 0.43% correspondently.

scholarly journals Do Public–Private Partnership Investment in Energy and Technological Innovation Matter for Environmental Sustainability in the East Asia and Pacific Region? An Application of a Frequency Domain Causality Test

2021 ◽  
Vol 13 (6) ◽  
pp. 3039
Author(s):  
Tomiwa Sunday Adebayo ◽  
Sema Yılmaz Genç ◽  
Rui Alexandre Castanho ◽  
Dervis Kirikkaleli
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Frequency Domain ◽  
Co2 Emissions ◽  
Technological Innovation ◽  
Environmental Sustainability ◽  
Public Private Partnership ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Private Partnership

Environmental sustainability is an important issue for current scholars and policymakers in the East Asian and Pacific region. The causal and long-run effects of technological innovation, public–private partnership investment in energy, and renewable energy consumption on environmental sustainability in the East Asian and Pacific regions have not been comprehensively explored while taking into account the role of economic growth using quarterly data for the period 1992–2015. Therefore, the present study aims to close this literature gap using econometric approaches, namely Bayer–Hanck cointegration, autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least square (FMOLS) tests. Furthermore, the study utilizes the frequency domain causality test to capture the causal impact of public–private partnership investment in energy, renewable energy consumption, technological innovation, and economic growth on CO2 emissions. The advantage of the frequency domain causality test is that it can capture the causality between short-term, medium-term, and long-term variables. The outcomes of the ARDL, FMOLS and DOLS show that renewable energy consumption and technological innovation mitigate CO2 emissions, while public–private partnership investment in energy and economic growth increase CO2 emissions. Moreover, the frequency causality test outcomes reveal that technological innovation, public–private partnership investment in energy, and renewable energy consumption cause CO2 emissions, particularly in the long-term. Thus, as a policy recommendation, the present study recommends promoting renewable energy consumption by focusing more on technological innovation in the East Asia and Pacific regions.

scholarly journals ANALYSIS OF THE CAUSALITY OF CO2 EMISSIONS, CONSUMPTION OF FOSSIL FUELS, ELECTRICITY CONSUMPTION, AND ECONOMIC GROWTH IN INDONESIA IN 1990-2019

2019 ◽  
Vol 4 (02) ◽  
pp. 113
Author(s):  
Melati Intan Kurnia ◽  
Hadi Sasana ◽  
Yustirania Septiani
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Electricity Consumption ◽  
Negative Influence ◽  
Fossil Fuel Consumption

<p><em>Increasing economic growth will spark against increased energy consumption. But on the other hand, increasing economic growth will also trigger the occurrence of natural damage and degradation of environmental quality derived from CO2 emissions. CO2 emissions are caused by oxidation process of fossil fuel energy. This research aims to know the causality relationship between CO2 emissions, fossil fuel consumption, electricity consumption, and economic growth in Indonesia, as well as long-term relationship between CO2 emissions, fossil fuel consumption, electricity consumption, to economic growth in Indonesia in 1990 – 2019. The used data is the secondary data that is in the form of data time series. The dependent variables of this study are economic growth, while independent variables are CO2 emissions, fossil fuel consumption, electricity consumption. The method that is used in this study is Vector Error Correction Model. The results showed that there was a one-way causality between economic growth and fossil fuel consumption, and between electricity consumption and CO2 emissions. The research also shows that on long-term CO2 emissions has a negative influence, while the consumption of fossil fuels and electricity has a positive effect on Indonesia's economic growth in 1990-2019.</em></p><p><strong><em>K</em></strong><strong><em>eywords</em></strong><em>: CO2, Energy Consumption, Economic Growth.</em></p>

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