scholarly journals The Relationship between Economic Growth, Energy Consumption and Carbon Dioxide Emissions: Evidence from Central Asia

2019 ◽  
Vol 12 (24) ◽  
pp. 1-15 ◽  
Author(s):  
Anh Tru NGUYEN ◽  
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 ◽  
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.


Author(s):  
Hamid Amadeh ◽  
Parisa Kafi

In recent decades, environmental risks and hazards are more visible. These damages caused by a combination of factors such as population growth, economic growth, energy, and industrial activities. This study discusses long-run equilibrium relationship, short-term dynamic relationships and causal relationships between energy consumption, economic growth and the environment (carbon dioxide emissions) in Iran, by using time series data during 1971-2009, through Co integration test. Co integration test demonstrates that a long-run relationship exists among the three variables. It is obvious that carbon dioxide emissions will be increased by positive shock of energy consumption and economic growth, by a one percent increase in energy consumption and economic growth, carbon dioxide emissions will increase 55 and 43 percent respectively. The result of this study is important because of reducing carbon dioxide emissions from energy use and economic development matters. In other words, to reduce carbon dioxide emissions, the government should reduce the amount of Petroleum products in energy consumption, and it also improves the efficiency of using energy.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shaohui Zou ◽  
Tian Zhang

Under the situation of global low-carbon development, the contradiction among energy consumption, economic growth, and CO2 emissions is increasingly prominent. Considering the possible two-way feedback among the three, based on the panel data of 30 regions in China from 2000 to 2017, this paper establishes a spatial Durbin model including economic growth, energy consumption equation, and CO2 emissions and studies the dynamic relationship and spatial spillover among economic growth, energy consumption, and CO2 emissions effects. The results show that the economic growth can significantly improve carbon dioxide emissions, and China’s economic growth level has become a positive driving force for carbon dioxide emissions. However, economic growth will not be significantly affected by the reduction of carbon dioxide emissions. There is a two-way relationship between energy consumption (ENC) and carbon dioxide emissions (CO2). Energy consumption and carbon emissions are interrelated, which has a negative spatial spillover effect on the carbon dioxide emissions of the surrounding provinces and cities.


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.


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