首页|京津冀"2+26"城市大气污染时空特征与影响因素非线性效应

京津冀"2+26"城市大气污染时空特征与影响因素非线性效应

扫码查看
在"十三五"向"十四五"过渡、"打赢蓝天保卫战三年行动计划"收官,京津冀大气污染联防联控将迎来新局面之际,总结大气污染治理经验是必要的.本文基于2003-2018年京津冀大气污染传输通道"2+26"城市面板数据经验测算泰尔指数、莫兰指数,并引入地理权重矩阵构建门限空间杜宾模型,以探究本区域大气污染时空特征与影响因素的非线性效应.研究发现:京津冀"2+26"城市PM2.5浓度总差异存在周期趋势;存在高高集聚、低低集聚现象,考察期内大气环境得到优化;存在较为复杂的非线性效应和集群现象,总体而言产业结构优化益于大气环境治理,经济发展和相对过剩的公共交通则可能加剧大气污染.基于以上结论,本文认为:相关部门需坚持联防联控;大气环境治理应充分考虑空间集聚特征;联防联控政策的制定需充分考虑产业结构、经济发展等影响因素的非线性效应.
Spatiotemporal Characteristics and Nonlinear Effects of Influencing Factors of Air Pollution in Beijing-Tianjin-Hebei and Surrounding Areas
In the transition from the 13th Five-Year Plan to the 14th Five-Year Plan,the conclusion of the Three-Year Action Plan to Fight Air Pollution,and the new situation of the joint prevention and control of air pollution in the Beijing-Tianjin-Hebei and Surrounding Areas,it is necessary to summarize the experience of air pollution control.In this paper,based on the panel data of Beijing-Tianjin-Hebei 28 cities during 2003 to 2018,the Theil index and the Moran index were empirically calculated,and the geographical weight matrix was introduced to construct the threshold Spatial Dubin model.The results showed that the total difference of PM2.5 concentration in Beijing-Tianjin-Hebei"2+26"cities had a periodic trend.There are high-high,low-low combined effect,the atmosphere environment was optimized during the investigation period;In general,industrial structure optimization is beneficial to air environmental governance,while economic development and redundant low-carbon transportation may aggravate air pollution.Based on the above conclusions,this paper believes that:relevant departments should continue to pay attention to the regional air pollution,adhere to the joint prevention and control;The characteristics of spatial agglomeration should be fully utilized in atmospheric environment manage-ment.The formulation of joint prevention and control policy should fully consider the non-linear effect of industrial structure,economic development and other influencing factors.

Beijing-Tianjin-Hebei and surrounding areasTheil indexMoran indexthreshold spatial Durbin modelPanel data

张雪峰、宋鸽

展开 >

北方工业大学经济管理学院,北京 100144

中央财经大学经济学院,北京 100081

京津冀"2+26"城市 泰尔指数 莫兰指数 门限面板空间杜宾模型 面板数据

北京市自然科学基金北京市教委科学研究计划

9232007SZ202310009004

2024

数理统计与管理
中国现场统计研究会

数理统计与管理

CSTPCDCSSCICHSSCD北大核心
影响因子:1.114
ISSN:1002-1566
年,卷(期):2024.43(2)
  • 19