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      Spatial Association Effect of Haze Pollution in Cheng-Yu Urban Agglomeration

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      1 , 1 , 2 ,
      Scientific Reports
      Nature Publishing Group UK
      Atmospheric dynamics, Climate change

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          Abstract

          This study takes a network perspective to examine the spatial spillover effects of haze pollution in Cheng-Yu urban agglomeration which is the fourth largest urban agglomeration and a comprehensive demonstration zone of new urbanization in China. Firstly, we use Granger causality test to construct haze pollution spatial association network, and then we apply social network analysis to reveal the structural characteristics of this network. The results show that: haze pollution in Cheng-Yu urban agglomeration is a complex multithreaded network. Chongqing, Chengdu, Guang’an, Luzhou, Deyang and Nanchong are the centers of the network, sending and transmitting the most relationships. The haze pollution spatial association network can be divided into net beneficiary block, net overflow block, bilateral overflow block and broker block. These four blocks present obvious geographical distribution characteristics and are partly related to the difference of urbanization. The above results contribute by illustrating the current spatial spillover situation of haze pollution and provide a theoretical foundation for the government that it should simultaneously consider cities’ statues and their spatial spillover effects in the network rather than simple geographic proximity when formulating future haze pollution control policies in urban agglomeration.

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          Most cited references24

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          Testing for causality

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            Social Structure from Multiple Networks. II. Role Structures

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              Spatial and temporal variability of PM2.5 and PM10 over the North China Plain and the Yangtze River Delta, China

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                Author and article information

                Contributors
                cqutianyuan@126.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 June 2020
                16 June 2020
                2020
                : 10
                : 9753
                Affiliations
                [1 ]ISNI 0000 0001 0345 927X, GRID grid.411575.3, School of Economics and Management, , Chongqing Normal University, ; Chongqing, 401331 China
                [2 ]ISNI 0000 0000 9802 6540, GRID grid.411578.e, School of Economics, , Chongqing Technology and Business University, ; Chongqing, 400067 China
                Article
                66665
                10.1038/s41598-020-66665-8
                7297721
                32546744
                2b41e5c0-ff74-46fd-89cc-9fd45e42203b
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 February 2020
                : 20 May 2020
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                © The Author(s) 2020

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                atmospheric dynamics,climate change
                Uncategorized
                atmospheric dynamics, climate change

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