摘要
选取2013—2016年粤港澳大湾区11市大气主要污染物数据,采用社会网络分析法(SNA)对粤港澳大湾区大气污染的空间关联性进行实证研究。结果发现:①大湾区城际大气主要污染物的空间关联均呈现出较典型的网络结构特征。②城际大气污染存在明显的空间关联和空间溢出,各城市空间联系越来越密切。③大湾区大气污染空间网络具有稳定性特征,PM2.5和SO2的空间溢出得到有效控制,而PM10和NO2的空间溢出具有长期稳定性。④珠海、佛山、惠州、中山在大湾区城际大气污染空间关联网络中处于中心地位。⑤各城市在大气污染空间网络中存在明显的非均衡地位。
This paper selected the main air pollutant data of 11 cities in Guangdong-Hong Kong-Macao Greater Bay Area from year of 2013 to 2016,and used social network analysis(SNA)to conduct an empirical study on the spatial correlation of air pollution in the Greater Bay Area.The results showed that:①The spatial correlations of major inter-city pollutants in the Guangdong-Hong Kong-Macao Greater Bay Area all exhibited typical network structure characteristics.②There were obvious spatial correlations and spatial overflows in inter-city air pollution,and the spatial connection between cities was getting closer and closer.③The spatial network of atmospheric pollution in the Guangdong-Hong Kong-Macao Greater Bay Area had stability characteristic,and the spatial overflows of PM2.5 and SO2 were effectively controlled,while those of PM10 and NO2 were of long-term stability.④Zhuhai,Foshan,Huizhou and Zhongshan were at the center of the spatial correlation network of inter-city air pollution in the Greater Bay Area.⑤Each city had an obvious unbalanced position in the air pollution spatial network.
作者
东童童
邓世成
李轩枫
DONG Tong-tong;DENG Shi-cheng;LI Xuan-feng(Department of Economics,Party School of Guangdong Provincial Committee of C.P.C,Guangzhou 510053,China;Business School,East China University of Science and Technology,Shanghai 200237,China)
出处
《资源开发与市场》
CAS
北大核心
2021年第1期19-25,共7页
Resource Development & Market
基金
国家社会科学基金青年项目“粤港澳大湾区环境污染协同治理机制研究”(编号:19CJL054)
广东省哲学社会科学规划青年项目“绿色发展视角下粤港澳大湾区雾霾治理困境的破解机制与对策研究”(编号:GD18YYJ01)
广州市社会科学界联合会“羊城青年学人”资助研究项目“绿色发展视角下粤港澳大湾区雾霾污染的区域治理机制与对策研究”(编号:18QNXR81)。
关键词
粤港澳大湾区
大气污染
空间关联
社会网络分析法
Guangdong-Hong Kong-Macao Greater Bay Area
air pollution
spatial correlation
social network analysis