Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM2.5 Data
Author
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Based on the PM2.5 concentration data of 253 prefecture-level cities, it empirically investigated the effect of urban density on PM2.5 concentration in China using spatial econometric regression method.
The results show that there is a spatial spillover effect of PM2.5 concentration in China.
The coefficient of urban density is significantly negative, and the increase in urban density will reduce haze pollution.
In order to reduce haze pollution in Chinese cities, it is necessary to continue to implement regional joint prevention and control measures.
The eastern region should focus on building small blocks and high-density networks to reduce haze pollution.
The central region should focus on urban greening, increase green coverage, and reduce the heat island effect.
While improving the level of greening in the western region, we should increase urban density, reduce urban sprawl, and build compact cities.
American Psychological Association (APA)
Liu, Xiaohong. 2019. Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM2.5 Data. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1146476
Modern Language Association (MLA)
Liu, Xiaohong. Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM2.5 Data. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1146476
American Medical Association (AMA)
Liu, Xiaohong. Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM2.5 Data. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1146476
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1146476