江苏省经济增长与碳排放的脱钩关系研究——基于LMDI因素分解法  

Study on the decoupling relationship between economic growth and carbon emission in Jiangsu province:based on the LMDI factor approach

作　　者：张敏[1] 奚曦[1] ZHANG Min;XI Xi(Nanhang Jincheng College,Nanjing 211156,China)

机构地区：[1]南京航空航天大学金城学院,江苏南京211156

出　　处：《江苏科技信息》2024年第13期21-24,共4页Jiangsu Science and Technology Information

基　　金：2023年度江苏高校哲学社会科学研究项目,项目名称:江苏省产业结构、碳排放与经济增长的关系研究,项目编号:2023SJYB0665;2022年江苏省社科应用研究精品工程课题,项目名称:“双碳”目标下江苏城市群碳达峰预测及降碳路径研究,项目编号:22SYC-221。

摘　　要：文章基于2005—2020年江苏省的人口、经济发展、能源强度以及二氧化碳排放的相关数据,通过构建LMDI因素分解模型对江苏省碳排放的脱钩状态进行研究,结果表明,在“十一五”至“十三五”期间,江苏省碳排放总体处于弱脱钩状态,未达到稳定的强脱钩状态;在影响碳排放的各驱动因素中,对碳排放与经济增长的脱钩状态影响最大的是能源强度效应。文章最后提出合理的降低碳排放的策略。The article is based on relevant data on population,economic development,energy intensity,and carbon dioxide emissions in Jiangsu province from 2005 to 2020.By constructing an LMDI factor decomposition model,the decoupling status of carbon emissions in Jiangsu province is studied.The results show that during the period from the“11th Five-Year”Plan to the“13th Five-Year”Plan,the overall carbon emissions in Jiangsu province are in a weak decoupling state and have not reached a stable strong decoupling state;among the various driving factors affecting carbon emissions,the energy intensity effect has the greatest impact on the decoupling state between carbon emissions and economic growth.At the end of the article,reasonable strategies for reducing carbon emissions are proposed.

关 键 词：碳排放脱钩 LMDI因素分解模型 Tapio脱钩指数 

分 类 号：X322[环境科学与工程—环境工程]