Research on the influencing factors of energy carbon emissions in Liaoning province based on the extended stirpat model
Investigate the impact of human activities on carbon emissions in a specific region and formulate corresponding carbon reduction policies..Based on relevant statistical data,the IPCC method is used to estimate the energy carbon emissions in Liaoning Province from 2000 to 2022.Six variables including total population,per capita GDP,energy intensity,urbanization rate,the proportion of coal consumption,and the proportion of the secondary industry were selected to establish an extended STIRPAT model,and a multicollinearity test and ridge regression analysis were conducted on the extended STIRPAT model.The results show that,except for the proportion of coal consumption and energy intensity which have a negative impact on the increase of energy carbon emissions,other factors all have a positive impact on the increase of energy carbon emissions,such as controlling the population size,maintaining a stable and healthy economic development,accelerating the optimization of the energy structure,and improving energy efficiency so as to control the energy carbon emissions in Liaoning Province.This study holds significant importance for achieving carbon emission reduction targets.
energy carbon emissionsextended stirpat modelridge regression
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