首页|基于STIRPAT模型的京津冀地区碳排放影响因素分析

基于STIRPAT模型的京津冀地区碳排放影响因素分析

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采用STIRPAT模型,分析了影响京津冀地区碳排放的主要因素.首先,利用IPCC方法对京津冀地区碳排放量进行测算.其次,在现有研究的基础上,筛选出与碳排放相关的影响因素,运用主成分分析法、岭回归法和线性回归法对京津冀地区碳排放量影响因素进行了实证分析.最后,在京津冀不同区域分别构建了改进的STIRPAT模型,探究关键因素的影响程度,并对碳排放影响因素进行了深入分析.实证研究表明,2000-2019年京津冀地区碳排放结构与变化趋势明显不同.同时,各区域关键影响因素各不相同,同一因素在不同区域产生的效果也有所不同.
Influencing Factors of Carbon Emission in Beijing-Tianjin-Hebei Region Based on STIRPAT Model
This article uses the STIRPAT model to analyze the factors that affect carbon output in Beijing-Tianjin-Hebei region.First-ly,use the IPCC method to calculate the energy carbon emissions in the Beijing-Tianjin-Hebei region.Secondly,based on existing re-search,the relevant influencing factors of carbon emissions were studied,and principal component analysis,ridge regression analysis and linear regression method was conducted on the factors affecting carbon emissions.Similarly,different sections in the Beijing-Tianjin-Hebei region were used as research objects.This article establishes an improves STIRPAT model,which determines the degree of influence of key factors and deeply analyzes the factors that affect carbon emissions.Empirical research shows that there are significant differences in the structure and trends of carbon dioxide emissions among Beijing-Tianjin-Hebei region from 2000 to 2019.Meanwhile,the main influencing factors vary by region,and the impact of the same factor varies by region too.

STIRPAT modelBeijing-Tianjin-Hebeireturning to the ridgelinear regressionfactors affecting carbon emissions

滕飞、姜朔、王怡然、平冰宇

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吉林师范大学数学与计算机学院,吉林四平 136000

STIRPAT模型 京津冀 岭回归 线性回归 碳排放影响因素

吉林省教育厅高等教育教学改革重点项目

2022R2V5XNC001C

2024

长春师范大学学报
长春师范学院

长春师范大学学报

CHSSCD
影响因子:0.312
ISSN:1008-178X
年,卷(期):2024.43(6)
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