scholarly journals CO2 Emissions, Energy Consumption, and Economic Growth Nexus: Evidence from 30 Provinces in China

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.

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.   


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.


Author(s):  
Redwan Ahmed ◽  
Gabriela Sabau ◽  
Morteza Haghiri

The aim of this study is to empirically investigate the causal relationship between global CO2 emissions and six of their potentially contributing factors (i.e., economic growth, energy consumption, population, trade openness, financial development and corruption), by using a panel data collected from 65 countries during 1995 to 2013. We developed a dynamic model and used a four-step testing procedures (i.e., panel unit root tests, panel cointegration tests, long-run estimates, i.e. FMOLS estimates and a Granger causality test). The results showed that the most important factors driving global CO2 emissions were economic growth, energy consumption, corruption and financial development. It is recommended that countries develop their own CO2 reducing policies by designing an appropriate combination/mix of policy tools, such as regulation, economic, voluntary and educational/ informational instruments to address their environmental pollution. Countries could consider all dimensions of well-being when they measure their economic development. Imposing pollution taxes on fossil fuel based energy supplies, developing emissions standards, strengthening anti-corruption strategies and educating people about the adverse effects of CO2 emissions on the natural environment and human health are potential policy measures.


2020 ◽  

<p>Urban economic development cannot be separated from energy consumption, and energy consumption directly leads to a large number of carbon emissions. It is of great significance to study the relationship between carbon dioxide emissions and economic growth for the implementation of energy conservation, emission reduction and the development of low-carbon economy in cities. A new method of dynamic relationship between urban carbon dioxide emission and economic growth is put forward. The carbon dioxide emission data in cities are calculated by using urban carbon dioxide emission measurement method. The data of economic attributes are obtained by using classification algorithm under uncertain data flow environment. Based on this data, a decoupling model of carbon emission and economic growth is constructed to measure economic growth elasticity of urban carbon emissions; Granger causality test model is established to analyze the Granger causality between urban carbon dioxide emissions and economic growth. The experimental results show that the growth rate of urban economy is obviously faster than that of carbon emissions. Economic growth is the Granger causality of carbon dioxide emissions. On the contrary, the implementation of carbon emission reduction measures will not hinder economic growth.</p>


2015 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Nomin-Erdene Chimeddorj

Currently, the global economic growth model is based on the input of resources, especially the input of energy. Throughout the energy structures all over the world, mostly coal, oil, natural gas and other high-carbon fossil fuels, and those high-carbon fossil fuels have become the main source of atmospheric carbon dioxide and other greenhouse gases. Economic growth and energy consumption, there should be causal relationship between economic growth and carbon dioxide emissions, the economic growth model can get rid of the fossil energy constraints, whereas carbon dioxide emissions can be disconnected from the economic growth, to cope with these problems facing the development of low-carbon economy in Mongolia. The research makes use of time-series model to test the causal relationship between economic growth and energy consumption, economic growth and carbon dioxide emissions as well as between energy consumption and carbon dioxide emissions.


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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