摘要
以北京市2011—2020年10年能源消费数据为研究对象,计算出10年间能源消费的碳排放情况,并以灰色关联分析法对常住人口数、地区生产总值、人均生产总值、产业结构、能源强度、能源结构六个因素进行碳排放量的影响因素关联性程度进行分析。结果表明,能源强度对碳排放的影响程度最大,根据研究结果可为今后的碳中和目标提出建议。
Taking the 10-year energy consumption data of Beijing from 2011 to 2020 as the research object,the carbon emissions of energy consumption in the past 10 years are calculated,and the grey correlation analysis method is used to analyze the correlation degree of six factors affecting carbon emissions,namely,the number of permanent residents,gross regional product,gross domestic product per capita,industrial structure,energy intensity,and energy structure.The results indicate that energy intensity has the greatest impact on carbon emissions,and based on the research results,suggestions are made for future carbon neutrality goals.
作者
杨海云
Yang Haiyun(Beijing Institute of Printing,Beijing 10000,China)
出处
《山西化工》
CAS
2023年第8期248-250,共3页
Shanxi Chemical Industry
基金
北京印刷学院2022年工商管理一级学科学位点建设项目(21090322004)。
关键词
能源
碳排放
影响因素
energy
carbon emissions
influence factor
