从中国的空间溢出和路径依赖效应的角度,对臭氧污染的时空空间演变和关键驱动因素分析
Houle Zhu1, Zhe Liu1, Jeffrey Wilson2
1Research Center for Resource and Environmental Management, Institute for Population and Development Studies, School of Public Policy and Administration, Xi'an Jiaotong University, Shaanxi Province, China.
Environmental pollution (Barking, Essex : 1987)
|June 6, 2024
概括
中国的臭氧污染显示出显著的空间溢出效应和路径依赖. 主要驱动因素包括经济增长和气象因素,通过人口密度和工业结构影响周边地区.
科学领域:
- 环境科学 环境科学
- 大气化学 大气化学
- 空间分析 空间分析
背景情况:
- 臭氧 (O3) 已成为中国主要的空气污染物,超过PM2.5.5.
- 现有的研究重点是臭氧的变化,来源和影响,但不是它的空间溢出或路径依赖的影响.
研究的目的:
- 研究中国臭氧污染的时空演变和空间溢出效应.
- 确定臭氧污染的主要驱动因素,考虑空间溢出和路径依赖.
主要方法:
- 在中国30个省份 (2013-2020年) 的面板数据上进行探索性空间数据分析 (ESDA).
- 动态空间德宾模型 (SDM) 分析各种驱动因素的直接和溢出效应.
主要成果:
- 从2013年到2020年,臭氧度在全国和省级表现出波动性的上升趋势.
- 确定了臭氧污染的显著空间溢出和路径依赖效应.
- 主要的直接驱动因素包括经济增长,技术,工业/能源结构和气象因素. 溢出效应涉及人口密度,技术,工业结构,法规和气象因素.
结论:
- 中国的臭氧污染的特点是显著的空间溢出和路径依赖.
- 了解这些空间动态对于有效的区域协同和长期臭氧控制政策至关重要.
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