Next Article in Journal
Out of the Dark: Establishing a Large-Scale Field Experiment to Assess the Effects of Artificial Light at Night on Species and Food Webs
Previous Article in Journal
Evaluation of Tourism Water Capacity in Agricultural Heritage Sites
Article Menu

Export Article

Open AccessArticle
Sustainability 2015, 7(11), 15570-15592; doi:10.3390/su71115570

Estimating the Impact of Urbanization on Air Quality in China Using Spatial Regression Models

1
Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
College of Economics and Management, Taizhou University, Taizhou 225300, China
*
Author to whom correspondence should be addressed.
Academic Editor: Pallav Purohit
Received: 13 October 2015 / Revised: 10 November 2015 / Accepted: 17 November 2015 / Published: 20 November 2015
View Full-Text   |   Download PDF [1067 KB, uploaded 24 November 2015]   |  

Abstract

Urban air pollution is one of the most visible environmental problems to have accompanied China’s rapid urbanization. Based on emission inventory data from 2014, gathered from 289 cities, we used Global and Local Moran’s I to measure the spatial autorrelation of Air Quality Index (AQI) values at the city level, and employed Ordinary Least Squares (OLS), Spatial Lag Model (SAR), and Geographically Weighted Regression (GWR) to quantitatively estimate the comprehensive impact and spatial variations of China’s urbanization process on air quality. The results show that a significant spatial dependence and heterogeneity existed in AQI values. Regression models revealed urbanization has played an important negative role in determining air quality in Chinese cities. The population, urbanization rate, automobile density, and the proportion of secondary industry were all found to have had a significant influence over air quality. Per capita Gross Domestic Product (GDP) and the scale of urban land use, however, failed the significance test at 10% level. The GWR model performed better than global models and the results of GWR modeling show that the relationship between urbanization and air quality was not constant in space. Further, the local parameter estimates suggest significant spatial variation in the impacts of various urbanization factors on air quality. View Full-Text
Keywords: air quality index (AQI); air pollution; PM2.5; China’s urbanization; spatial variations; spatial regression models; geographically weighted regression (GWR) air quality index (AQI); air pollution; PM2.5; China’s urbanization; spatial variations; spatial regression models; geographically weighted regression (GWR)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Fang, C.; Liu, H.; Li, G.; Sun, D.; Miao, Z. Estimating the Impact of Urbanization on Air Quality in China Using Spatial Regression Models. Sustainability 2015, 7, 15570-15592.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top