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Identifying Major Influencing Factors of CO2 Emissions in Chengdu: Date Analysis Based on Extended STIRPAT Model from 2005 to 2022
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With the global economy's continuous development, the issue of carbon emissions has become the focus of international attention. As one of the most important cities in western China, it is of positive significance to study the factors influencing carbon emission in Chengdu to realize the construction of a low-carbon city. Most studies believe that population size, urbanization level, energy structure, industrial structure, and other factors impact carbon emissions. But in reality, more factors affect carbon emissions. Taking Chengdu as an example, based on traditional factors such as population and economy, this paper puts forward new influencing factors such as building construction area, number of buses, length of subway lines, green area of parks, and green coverage rate of built-up areas, and verifies their correlation with carbon emission intensity in Chengdu. It is found that these factors also have a certain correlation with carbon emissions in Chengdu. Then, the paper constructs the STIRPAT model of carbon emission. Through the multicollinearity test and ridge regression analysis, the contribution of each influencing factor to the carbon emission intensity in Chengdu was obtained. Finally, this paper puts forward the strategy of low-carbon construction in Chengdu. Hope to provide a reference for relevant departments.
Title: Identifying Major Influencing Factors of CO2 Emissions in Chengdu: Date Analysis Based on Extended STIRPAT Model from 2005 to 2022
Description:
With the global economy's continuous development, the issue of carbon emissions has become the focus of international attention.
As one of the most important cities in western China, it is of positive significance to study the factors influencing carbon emission in Chengdu to realize the construction of a low-carbon city.
Most studies believe that population size, urbanization level, energy structure, industrial structure, and other factors impact carbon emissions.
But in reality, more factors affect carbon emissions.
Taking Chengdu as an example, based on traditional factors such as population and economy, this paper puts forward new influencing factors such as building construction area, number of buses, length of subway lines, green area of parks, and green coverage rate of built-up areas, and verifies their correlation with carbon emission intensity in Chengdu.
It is found that these factors also have a certain correlation with carbon emissions in Chengdu.
Then, the paper constructs the STIRPAT model of carbon emission.
Through the multicollinearity test and ridge regression analysis, the contribution of each influencing factor to the carbon emission intensity in Chengdu was obtained.
Finally, this paper puts forward the strategy of low-carbon construction in Chengdu.
Hope to provide a reference for relevant departments.
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