摘要
基于2000-2020年我国PM_(2.5)面板数据,综合运用核密度估计、空间相关性分析和空间杜宾模型,系统分析了我国PM_(2.5)污染的时空特征及其影响因素。结果表明:我国PM_(2.5)污染在年际上呈倒U型演化特征,在季度和月度上呈正U型演化特征,在空间上具有显著的空间聚集和空间依赖性;此外,人均GDP、第二产业占比、人口规模和平均温度对我国PM_(2.5)污染显著影响,自然条件影响因素对PM_(2.5)质量浓度具有显著空间溢出效应。
Based on the PM_(2.5)panel data from 2000 to 2020 in China,this study comprehensively applies kernel density estimation,spatial correlation analysis,and the spatial Durbin model to systematically analyze the spatio-temporal characteristics and influencing factors of PM_(2.5)pollution in China.The findings indicate that:the inter-annual evolution of PM_(2.5)pollution in China follows an inverted U-shaped pattern,while the quarterly and monthly evolutions follow a U-shaped pattern;spatially,PM_(2.5)pollution exhibits significant spatial clustering and spatial dependence.Additionally,per capita GDP,the proportion of the secondary industry,population size,and average temperature significantly influence PM_(2.5)pollution in China.Factors related to natural condition have a significant spatial spillover effect on PM_(2.5)concentration levels.
作者
谢珍
陈志勇
XIE Zhen;CHEN Zhiyong(School of Mathematics and Statistics,Fujian Normal University,Fuzhou 350117,China)
出处
《福建师范大学学报(自然科学版)》
北大核心
2025年第2期16-23,共8页
Journal of Fujian Normal University:Natural Science Edition
基金
国家社会科学基金一般项目(24BTJ067)。
