scholarly journals INVESTIGATING DYNAMIC EFFECT OF ENERGY CONSUMPTION, FOREIGN DIRECT INVESTMENTS AND ECONOMIC GROWTH ON CO2 EMISSIONS BETWEEN OMAN AND UNITED ARAB EMIRATES: EVIDENCE FROM CO INTEGRATION AND CAUSALITY TESTS

2020 ◽  
Vol 10 (6) ◽  
pp. 288-298
Author(s):  
Shrikant Krupasindhu Panigrahi ◽  
Noor Azlinna Binti Binti Azizan ◽  
Sumathi Kumaraswamy
2021 ◽  
Vol 13 (8) ◽  
pp. 4371 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Jamiu Adetola Odugbesan ◽  
Gbenga Daniel Akinsola ◽  
Wing-Keung Wong ◽  
...  

This study assesses the relationship between economic performance and environmental sustainability by taking into account the role of energy consumption, urbanization, and trade openness in Brazil by using data spanning from 1965 to 2019. The study is distinct from previously documented studies in literature in terms of scope for Brazil, where few entries have been recorded. The major objectives are to address the questions: (a) Is there a long-run connection between the variables under consideration? (b) Can CO2 emissions, trade openness, and energy consumption predict economic performance of Brazil? (c) What is the connection between economic growth and the independent variables at different frequencies and time-period? Furthermore, the study utilized dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS), Maki Cointegration, and autoregressive distributed lag (ARDL) to capture the long-run association between the variables of interest. Also, we used the Wavelet coherence and Gradual-shift causality tests to capture the causal linkage between economic growth and the regressors. The advantage of the wavelet coherence test is that it can capture causal linkage between series at different frequencies and periods. The outcome of both Maki cointegration and ARDL bounds testing to cointegration affirms the presence of long-run interaction among the parameters of interest. Furthermore, the outcomes of the DOLS and FMOLS revealed that energy consumption, CO2 emissions, and urbanization exert positive impacts on economic growth in Brazil while there is no significant connection between trade openness and economic growth. Moreover, Gradual shift causality test outcomes disclosed that urbanization, trade openness, CO2 emissions and energy usage can predict the economic performance of Brazil. The outcomes of the wavelet coherence test give credence to the FMOLS, DOLS, and Gradual shift causality tests.


2020 ◽  
pp. 014459872098019
Author(s):  
Kaodui Li ◽  
Enhua Hu ◽  
Chenchen Xu ◽  
Mohammed Musah ◽  
Yusheng Kong ◽  
...  

The purpose of this study was to examine the nexus amid economic growth, energy consumption and carbon emissions in G20 countries for the period 1992 to 2014. In order to obtain valid and reliable outcomes, more robust econometric techniques were employed. From the results, the studied panel was heterogeneous and cross-sectionally dependent. Also, the series of observed variables were first-differenced stationary and co-integrated. The key findings from the CCEMG and the AMG regression estimators adopted showed that economic growth and energy consumption promoted the emission of carbon in the countries. In addition, urbanization and foreign direct investments as control variables escalated the rate of the countries’ CO2 emissions. From the discoveries of the Dumitrescu and Hurlin panel causality test, a feedback causality between economic growth and CO2 emissions; energy consumption and CO2 emissions; and between urbanization and CO2 emissions were correspondingly unveiled. Howerver, a one-way caual link was evidenced from foreign direct investments to CO2 emissions. This exploration is vital because it will propel the countries to formulate policies that could help them to minimize their dependence on environmentally unfriendly energy sources, while promoting the usage of clean energies like solar, wind, biogas, biomass and hydropower among others. The study is also pertinent because it will aid the countries to plan, organize and implement environmental policies in compliance to their macroeconomic objectives. When this is accomplished, energy conservation policies implemented to minimize the emanation of CO2 will improve the countries’ economic growth.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.


2020 ◽  
Vol 13 (1) ◽  
pp. 180
Author(s):  
Montassar Kahia ◽  
Anis Omri ◽  
Bilel Jarraya

This study extends previous environmental sustainability literature by investigating the joint impact of economic growth and renewable energy on reducing CO2 emissions in Saudi Arabia over the period 1990–2016. Using the fully modified ordinary least-square (FMOLS) and dynamic ordinary least-square DOLS estimators, we find that economic growth increases CO2 emissions in all estimated models. Moreover, the validity of the environmental Kuznets curve (EKC) hypothesis is only supported for CO2 emissions from liquid fuel consumption. The invalidity of the EKC hypothesis in the most commonly used models implies that economic growth alone is not sufficient to enhance environmental quality. Renewable energy is found to have a weak influence on reducing the indicators of environmental degradation. We also find that the joint impact of renewable energy consumption and economic growth on the indicators of CO2 emissions is negative and insignificant for all the estimated models, meaning that the level of renewable energy consumption in Saudi Arabia is not sufficient to moderate the negative effect of economic growth on environmental quality. Implications for policy are also discussed.


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