中国城市 PM 浓度的空间自相关和时间收敛性。
Spatial Autocorrelation and Temporal Convergence of PM Concentrations in Chinese Cities.
机构信息
School of Government and Public Affairs, Communication University of China, Beijing 100024, China.
School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
出版信息
Int J Environ Res Public Health. 2022 Oct 27;19(21):13942. doi: 10.3390/ijerph192113942.
Scientific study of the temporal and spatial distribution characteristics of haze is important for the governance of haze pollution and the formulation of environmental policies. This study used panel data of the concentrations of particulate matter sized < 2.5 μm (PM) in 340 major cities from 1999 to 2016 to calculate the spatial distribution correlation by the spatial analysis method and test the temporal convergence of the urban PM concentration distribution using an econometric model. It found that the spatial autocorrelation of PM seemed positive, and this trend increased over time. The yearly concentrations of PM were converged, and the temporal convergence fluctuated under the influence of specific historical events and economic backgrounds. The spatial agglomeration effect of PM concentrations in adjacent areas weakened the temporal convergence of PM concentrations. This paper introduced policy implications for haze prevention and control.
科学研究霾的时空分布特征对于霾污染治理和环境政策制定具有重要意义。本研究使用了 1999 年至 2016 年 340 个主要城市的<2.5μm 颗粒物（PM）浓度的面板数据，通过空间分析方法计算空间分布相关性，并利用计量经济学模型检验城市 PM 浓度分布的时间收敛性。结果表明，PM 的空间自相关呈正相关，且这种趋势随时间增长而增加。PM 的年浓度趋于收敛，在特定历史事件和经济背景的影响下，时间收敛呈波动状态。PM 浓度在相邻地区的空间集聚效应削弱了 PM 浓度的时间收敛性。本文提出了一些针对霾污染防治的政策启示。
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