基于多元回归模型的空气质量影响因素实证分析  

An Empirical Analysis of Influencing Factors of Air Quality Based on Multiple Regression Model

作　　者：张方卉 杨志远[1] ZHANG Fang-hui(School of International Economics and Trade,Anhui University of Finance and Economics,Bengbu 233030,Anhui Province,China)

机构地区：[1]安徽财经大学国际经济贸易学院,安徽蚌埠233030

出　　处：《景德镇学院学报》2018年第3期7-9,45,共4页Journal of JingDeZhen University

基　　金：国家社科基金项目(13CJY093);国家级大学生创新训练项目(201710378169);安徽财经大学校级重点科研创新基金项目(XSKY1813ZD);安徽财经大学校级一般科研创新基金项目(XSKY1868)

摘　　要：收集北京市近3年共37个月空气质量数据,并针对六大影响因素的相关数据,运用计量经济学的知识,借助EViews软件建立多元线性回归模型。在初级模型的基础上不断进行检验与完善,分析污染物对空气质量指数的影响程度。通过检验,分析出影响空气质量的主要污染物,并提出相应的改善空气质量和保护生态环境的建议。A total of 37 months of air quality data were collected in the past three years in Beijing. Based on the relevant data of six influencing factors,a multivariate linear regression model was established with the help of the knowledge of econometrics and EViews software. On the basis of the primary model,continuous testing and improvement were conducted to analyze the extent of pollutants＇ impact on the air quality index. Through inspections,the major pollutants affecting air quality are analyzed,and proposals for improving air quality and protecting the ecological environment are proposed.

关 键 词：大气污染 空气质量指数 计量经济 治理建议 

分 类 号：X823.1[环境科学与工程—环境工程]