scholarly journals Nexus between carbon dioxide emissions and economic growth in G7 countries: fresh insights via wavelet coherence analysis

2021 ◽  
pp. 1-36
Author(s):  
Rabeh Khalfaoui ◽  
Aviral Kumar Tiwari ◽  
Usman Khalid ◽  
Muhammad Shahbaz
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Wavelet Coherence ◽  
Coherence Analysis ◽  
G7 Countries ◽  
Wavelet Coherence Analysis

Economic growth, carbon dioxide emissions and energy consumption in Algeria: a wavelet coherence approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sidi Mohammed Chekouri ◽  
Abderrahim Chibi ◽  
Mohamed Benbouziane
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Power Spectrum ◽  
Carbon Dioxide Emissions ◽  
Wavelet Coherence ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Growth Energy

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.

Wavelet coherence analysis of prefrontal oxygenation signals in elderly subjects with hypertension

2014 ◽  
Vol 35 (5) ◽  
pp. 777-791 ◽  
Author(s):  
Zengyong Li ◽  
Ming Zhang ◽  
Ruofei Cui ◽  
Qing Xin ◽  
Lu Liqian ◽  
...  
Keyword(s):  
Wavelet Coherence ◽  
Elderly Subjects ◽  
Coherence Analysis ◽  
Wavelet Coherence Analysis

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

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