scholarly journals Validating and Forecasting Carbon Emissions in the Framework of the Environmental Kuznets Curve: The Case of Vietnam

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3144
Author(s):  
Anh-Tu Nguyen ◽  
Shih-Hao Lu ◽  
Phuc Thanh Thien Nguyen

This paper examines the environmental Kuznets curve (EKC) in Vietnam between 1977 and 2019. Using the autoregressive distributed lag (ARDL) approach, we find an inverted N-shaped relation between economic growth and carbon dioxide emissions in both the long- and short-run. The econometric results also reveal that energy consumption and urbanization statistically positively impact pollution. The long-run Granger causality test shows a unidirectional causality from energy consumption and economic growth to pollution while there is no causal relationship between energy consumption and economic growth. These suggest some crucial policies for curtailing emissions without harming economic development. In the second step, we also employed the back-propagation neural networks (BPN) to compare the work of econometrics in carbon dioxide emissions forecasting. A 5-4-1 multi-layer perceptron with BPN and learning rate was set at 0.1, which outperforms the ARDL’s outputs. Our findings suggest the potential application of machine learning to notably improve the econometric method’s forecasting results in the literature.

2020 ◽  
Vol 66 (No. 4) ◽  
pp. 183-192 ◽  
Author(s):  
Abrham Tezera Gessesse ◽  
Ge He

This study examines the nexus of carbon dioxide (CO2) emissions, energy consumption (EC) and gross domestic products (GDP), using an Autoregressive Distributed Lag (ARDL) bounds test approach of co-integration and error-correction model (ECM) for the period 1971–2015. The aim of the research is to i) examine the relationship between CO2 and GDP as “cross-coupling, relative decoupling, or absolute decoupling,” and validate the existence of the Environmental Kuznets Curve (EKC) hypothesis; ii) detect causality between CO2 emissions, EC, and GDP, and scrutinize their impacts. The ARDL results confirm a long-run and short-run co-integration relationship between the variables. The relationship between CO2 emissions and GDP is “relatively decoupling,” and the EKC exists in China. Its CO2 emissions are more explained by EC and contribute twofold of GDP. In the long run, there was significant negative causality from CO2 emission and GDP to EC. This indicates Chinese economic development structure should be re-designed towards energy-saving and decarbonized economic structure. Moreover, the central and provincial governments of China should synchronize optimal energy utilization and green economic structure to mitigate environmental deterioration and climate change.


2013 ◽  
Vol 291-294 ◽  
pp. 1616-1619 ◽  
Author(s):  
Qun Wei Wang ◽  
Cheng Ling Cai ◽  
Dan Lu

This paper studies the relationships between economic growth, energy consumption and carbon dioxide emissions using an autoregressive distributed lag (ARDL) procedure and Engle-Granger causality test in China over the period 1965-2011. The empirical results show that GDP, energy and carbon emissions have appeared to be cointegrated. Moreover, there exists unidirectional causality from energy consumption to economic growth and carbon emissions to economic growth in short run. It has also been found that energy consumption and carbon emissions promote economic growth in long run. Some policy implications have been proposed finally.


2020 ◽  
Vol 10 (2) ◽  
pp. 194
Author(s):  
Wan-Lin Yong ◽  
Jerome Kueh ◽  
Yong Sze Wei ◽  
Jang-Haw Tiang

This paper intends to investigate the nexus between energy consumption, carbon dioxide emission, total export and economic growth of China from 1971 to 2014. This study adopted Autoregressive Distributed Lag (ARDL) bounds test to examine the existence of short-run and long-run relationships among the variables. Empirical findings indicated that energy consumption contribute to economic growth while carbon dioxide emission is impeding the growth. There is a positive long-run relationship between both energy consumption and total export with economic growth of China. However, a negative relationship is observed between carbon dioxide emissions and economic growth. Hence, in terms of policy recommendation, policymakers can implement a balance environment-economic policy; reduce the carbon dioxide emission by imposing carbon tax; promote renewable energy among the industries and households and promoting reserves forest policy is needed for aspiration of sustainable growth for both environmental and economic.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sidi Mohammed Chekouri ◽  
Abderrahim Chibi ◽  
Mohamed Benbouziane

PurposeThe world is nowadays facing major environmental damage and climate change everywhere. Carbon dioxide emissions are major causes of such change. It is in this respect that the current study provides a fresh insight into the dynamic nexus between energy consumption (EC), economic growth (EG) and CO2 emissions in Algeria, as it is considered as one of the top CO2 emitters in Africa.Design/methodology/approachThe authors use the wavelet approaches and Breitung and Candelon (2006) causality test to gauge the association between EC, EG and CO2 emissions over the period 1971–2018. Specifically, this study implements the wavelet power spectrum (WPS) to identify the power and variability of each variable at different time scales. The wavelet coherence, phase differences and partial wavelet coherence are also used to assess the co-movement and lead lag relationship between economic growth, energy consumption and CO2 emissions over different time scale. Finally, Breitung and Candelon (2006) causality test is used to find the causality among variables.FindingsThe wavelet power spectrum results indicate that economic growth, energy consumption and CO2 emissions share common strong variance in the medium and long run. Furthermore, the wavelet coherence results suggest that there is a significant co-movement between EG and CO2 emissions, and EG is the leading variable for CO2 emissions and EC. The results also unveil that both EG and EC cause CO2 emissions both in short and long run. The results suggest that Algeria should take suitable measures towards the promotion of renewable energy sources.Originality/valueThe present empirical study filled the literature gap of applying the wavelet approach and frequency domain spectral causality test to examine this relevant issue for Algeria.


2021 ◽  
Vol 2021 (68) ◽  
pp. 42-58
Author(s):  
Essa Alhannom ◽  
Ghaleb Mushabab

Abstract This study investigates the validity of the Environmental Kuznets Curve hypothesis in Yemen and the causal relationships between Carbon dioxide emissions, per capita income, energy consumption, trade openness, and industrial share to GDP. ARDL bounds testing approach to cointegration, Error Correction Model, and Toda-Yamamoto procedure to Granger causality techniques were employed on annual data covering the period from 1990 to 2010. long run relationship between CO2 emissions and its determinants with significant effects for per capita GDP and trade openness, whereas, energy consumption and trade openness appear to be important determinants of CO2 emissions in the short run. Besides, based on Narayan and Narayan (2010) approach, it is found that the EKC hypothesis does not hold in Yemen and therefore the effect of per capita income on CO2 emissions is monotonically increasing. Toda-Yamamoto causality test proved the existence of bidirectional causal relationships between economic growth and CO2 emissions, between energy consumption and economic growth, and between trade openness and energy consumption


2021 ◽  
Vol 15 (4) ◽  
pp. 418-432
Author(s):  
Mohammed Touitou ◽  
Raquel Langarita

This article examines how economic growth affects the environment through the lens of carbon dioxide (CO2) emissions, by testing the validity of the environmental Kuznets curve (EKC) for the case of Algeria during the period 1973–2016. For this, the auto regressive distributed lag (ARDL) method is used. The results of the econometric analysis confirm the existence of a positive long-term relationship between CO2 emissions and real GDP and show that the direction of this relationship goes from economic growth to CO2 emissions according to Granger causality tests. Specifically, for a developing country like Algeria, economic growth determines the level of emissions. This implies that an energy policy in favour of the environment can be put in place without risking negative repercussions on economic growth. In addition, the results of the ARDL regression validate EKC’s hypothesis: in the first phase, economic growth leads to a higher level of CO2 emissions, however, when a given threshold (inflection point) is reached, these emissions decrease. JEL Codes: O10, O47, Q50, Q53


2020 ◽  
Vol 8 (2) ◽  
pp. 1 ◽  
Author(s):  
Nur Hafizah Mohammad Ismail

Southeast Asia countries have experienced rapid economic growth within past decades with significant increase in energy dependency and carbon dioxide (CO2) emissions. Continuous development in urban area has stimulated rise in energy consumption in many Southeast Asia countries which resulted in an improvement of citizen’s lifestyles and living standards due to increasing income and population. Understanding the relationship between economic growth, energy consumption and carbon dioxide emissions helps economies in formulating energy policies, enhancing energy security and developing a sustainability of energy resources. Therefore, this study focuses on the economic growth, energy consumption and carbon dioxide emissions evolved in Southeast Asia by using Environment Kuznets Curve theory. This paper could be useful and beneficial for the Southeast Asia countries to form appropriate environment policies in order to maintain the balance of energy demand and supply and dealing with environmental quality issues.   


2021 ◽  
Author(s):  
Ishfaq Hamid ◽  
Md Shabbir Alam ◽  
Muntasir Murshed ◽  
Pabitra Kumar Jena ◽  
Nadia Sha ◽  
...  

Abstract This study examines the symmetric and asymmetric nexus between capital investment, economic growth, foreign direct investment, and CO2 emissions in Oman during 1980- 2019. For this purpose, we applied ARDL Model for linear cointegration and NARDL model for nonlinear cointegration between capital investment, economic growth, foreign direct investment, and CO2 emissions. The bound test shows the long-term equilibrium relationship among CO2 emissions, capital investment, economic growth, and FDI in both models. The error correction mechanism demonstrates that CO2 emissions congregate to their long-run equilibrium level at a 50.1 percent annual pace of adjustment by integrating capital investment, economic growth, and FDI under the symmetric model. The causality test results show that carbon emissions and FDI, economic growth, and CO2 emissions exhibit bidirectional causal links. While, on the other hand, unidirectional causal links are running from capital investment to GDP. The asymmetric results show that positive shocks to FDI and economic growth have significant tumbling consequences on Oman's carbon dioxide emissions.In contrast, negative shocks in FDI and economic growth substantially increase carbon dioxide emissions. The research findings also reveal that carbon dioxide emissions are more resilient to negative shocks in FDI and economic growth. Based on these results, this study accomplishes that abatement measures should consist of strategies to enhance the deepness of FDI and economic growth in the Oman economy.JEL Classification: F21, Q56, C22


2021 ◽  
Vol 21 (2) ◽  
pp. 132-147
Author(s):  
Mohammed Touitou

Abstract Research background: CO2 emissions are considered to be the main reason for global warming, and for this reason, their regulation is a very important issue for governments. Due to the increasing use of energy, carbon dioxide emissions have increased dramatically over the past century, with a direct link to economic growth and development. The relationship between CO2 emissions, growth and energy consumption is therefore at the heart of current economic issues. Purpose: This study aimed at examining the relationship among economic growth, carbon dioxide (CO2) emissions and energy consumption in selected MENA countries, in the period 1995–2017. Research methodology: To prove these relations, a stationary data panel methodology is used supported by unitary root and cointegration tests. Results: The results indicated that there is a long-term relationship between CO2 emissions, energy consumption and GDP. In addition, it is found that the elasticity of CO2 emissions with respect to energy consumption is less than one (inelastic), and the elasticity of CO2 emissions with respect to GDP suggests the existence of an Environmental Kuznets Curve. An important finding is that energy consumption has a positive but relatively low effect on CO2 emissions. To reduce CO2 emissions, the countries of the MENA region are being called upon to increase significantly the use of renewable energies and the establishment of a more efficient energy policy.


2020 ◽  
Vol 160 ◽  
pp. 104879 ◽  
Author(s):  
Nur Hilfa Awatif Mohamad Ridzuan ◽  
Nur Fakhzan Marwan ◽  
Norlin Khalid ◽  
Mohd Helmi Ali ◽  
Ming-Lang Tseng

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