摘要
近几年来,各地区频繁出现雾霾天气,严重影响了人们的生活和健康。雾霾的主要构成——PM2.5开始进入大众的视野,并受到人们的广泛关注和高度重视。文章采用中国29个省份2001-2015年的面板数据,从PM2.5的来源出发,通过构建多元线性回归方程,实证分析了PM2.5的影响因素。结果发现:产业结构、能源效率等都对PM2.5有显著影响。为了提高空气质量,降低PM2.5浓度,文章提出了几点建议,如大力发展绿色GDP、促进产业结构转型和升级、提高能源效率等。
In recent years, frequent haze weather in various regions has seriously affected people＇s life and health. The main composition of haze-PM2.5 began to enter the public vision, and by the people＇s attention and attention. Based on the panel data of 29 provinces in China from 2001 to 2015, this paper analyzes the influencing factors of PM2.5 by constructing a linear regression equation. The results show that： industrial structure, energy efficiency and so have a significant impact on PM2.5. In order to improve the air quality and reduce the PM2.5 concentration, this paper puts forward some suggestions, such as vigorously developing green GDP, promoting industrial structure transformation and upgrading, and improving energy efficiency.
作者
王珍
宋晓霞
WANG Zhen;SONG Xiao-xia(School of Business,Anhui University,Hefei 230601,China)
出处
《价值工程》
2018年第24期273-276,共4页
Value Engineering
基金
国家自然科学基金(71501002)
安徽省自然科学基金(1508085QG149)
关键词
PM2.5
影响因素
产业结构
能源效率
能源消费结构
PM2.5
influencing factors
industrial structure
energy efficiency
energy consumption structure
