摘要
一个城市的空气质量状况直接影响到该城市的发展水平,城市居民的生活以及身体健康,但城市化发展过程中往往会导致大量的环境污染,与空气质量好坏有着直接关系的就是可吸入颗粒物PM10的浓度。本文选取了中国东部沿海的13个省市的面板数据,以Queen邻接的方式构建空间权重矩阵,构建空间计量模型进行分析,结果表明:PM10浓度,排放的SO2浓度,城市日照时数和城市年降水量具有很强的空间相关性,某省排放的SO2量,NO2量,城市日照时间,城市常住人口数直接效应为正,间接效应为负;而降水量的直接效应为负,间接效应为正。
The air quality of a city has a direct impact on the development level of the city, the life and health of urban residents, but the development of urbanization often leads to a lot of environmental pollution, and the concentration of PM10 is directly related to the air quality. In this paper, panel data of 13 provinces and cities along the eastern coast of China are selected to construct spatial weight matrix by Queen adjacency method and spatial econometric model for analysis. The results show that: PM10 concentration, SO2 emission concentration, urban sunshine duration and urban annual precipitation have strong spatial correlation. The direct effect of SO2 emission, NO2 emission, urban sunshine duration and urban resident population of a province is positive, while the indirect effect is negative. The direct effect of precipitation is negative and the indirect effect is positive.
出处
《统计学与应用》
2021年第6期1092-1100,共9页
Statistical and Application
