科技创新与应用2025，Vol.15Issue(8)：100-103,108,5.DOI:10.19981/j.CN23-1581/G3.2025.08.022
基于STIRPAT模型的广东省碳排放影响因素研究
赵丹 1胡珅 1朱丽敏 1舒含之2
作者信息
- 1. 东北电力大学 经济管理学院,吉林 吉林 132000
- 2. 哈尔滨理工大学 经济与管理学院,哈尔滨 150000
- 折叠
摘要
Abstract
Scientific analysis of regional carbon emissions is conducive to achieving carbon emission reduction goals as soon as possible.Based on the STIRPAT model,this paper conducts a regression analysis of the statistical data of Guangdong Province from 2000 to 2019 and concludes that regional GDP,energy consumption intensity,secondary industry output value,invention patent authorization and total import and export of goods all have positive effects on carbon emissions,with elasticity coefficients of 0.067,0.405,0.195,0.071 and 0.133 respectively.The analysis results show that the increase of these variables promotes the increase of carbon emissions.Therefore,while vigorously developing the regional economy,Guangdong Province should adjust its industrial structure,reduce the proportion of the secondary industry containing backward technology in the total economic volume,and support the research and development of green technology and the development of green economy.关键词
工业工程/碳排放/STIRPAT模型/绿色经济/碳中和Key words
industrial engineering/carbon emissions/STIRPAT model/green economy/carbon neutrality分类
资源环境引用本文复制引用
赵丹,胡珅,朱丽敏,舒含之..基于STIRPAT模型的广东省碳排放影响因素研究[J].科技创新与应用,2025,15(8):100-103,108,5.
