An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model

It is important to effectively reduce carbon emissions and ensure the simultaneous adjustment of economic development and environmental protection. Therefore, we used Kaya identity to screen the factors influencing carbon emissions and conducted preliminary qualitative analyses, including grey relat...

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Bibliographic Details
Published in:Energies (Basel) 2021-11, Vol.14 (22), p.7797
Main Authors: Fan, Wei, Luo, Xi, Yu, Jiabei, Dai, Yiyang
Format: Article
Language:English
Subjects:
Carbon dioxide
carbon emissions
Clean technology
Coal
Decomposition
economic
Economic development
Economic growth
Economics
Emission analysis
Emissions
Emissions trading
Energy
Energy consumption
Energy sources
Energy utilization
Environmental protection
foreign trade
GDP
Greenhouse effect
Greenhouse gases
Gross Domestic Product
Impact factors
International trade
Methods
Optimization
Qualitative analysis
Quantitative analysis
Regression analysis
Technological change
Trends
VAR model
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Summary:It is important to effectively reduce carbon emissions and ensure the simultaneous adjustment of economic development and environmental protection. Therefore, we used Kaya identity to screen the factors influencing carbon emissions and conducted preliminary qualitative analyses, including grey relation analysis and linear regression analysis, on important variables to establish a vector autoregression (VAR) model based on their annual data to empirically analyze the influencing factors of carbon emissions. The results showed that economic growth effect, energy intensity effect and embodied carbon in foreign trade were the key factors affecting carbon emissions, among which the economic growth effect contributed the most. Accordingly, we propose countermeasures including technological innovation to reduce energy intensity, the development of new energy sources to improve energy structure, acceleration of industrial structure transfer, and optimization of trade structure.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14227797