Next Article in Journal
Dental Environmental Noise Evaluation and Health Risk Model Construction to Dental Professionals
Previous Article in Journal
Mothers’ Perceived Neighbourhood Environment and Outdoor Play of 2- to 3.5-Year-Old Children: Findings from the Healthy Beginnings Trial
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2017, 14(9), 1081; doi:10.3390/ijerph14091081

China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model

1
Business School, Changzhou University, Changzhou 213164, China
2
Department of Social Work and Social Policy, School of Social and Behavioral Sciences, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
3
Department of Sociology, School of Social and Behavioral Sciences, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Received: 6 August 2017 / Revised: 12 September 2017 / Accepted: 15 September 2017 / Published: 18 September 2017
(This article belongs to the Section Environmental Health)
View Full-Text   |   Download PDF [1960 KB, uploaded 18 September 2017]   |  

Abstract

Background: Air pollution has become an important factor restricting China’s economic development and has subsequently brought a series of social problems, including the impact of air pollution on the health of residents, which is a topical issue in China. Methods: Taking into account this spatial imbalance, the paper is based on the spatial panel data model PM2.5. Respiratory disease mortality in 31 Chinese provinces from 2004 to 2008 is taken as the main variable to study the spatial effect and impact of air quality and respiratory disease mortality on a large scale. Results: It was found that there is a spatial correlation between the mortality of respiratory diseases in Chinese provinces. The spatial correlation can be explained by the spatial effect of PM2.5 pollutions in the control of other variables. Conclusions: Compared with the traditional non-spatial model, the spatial model is better for describing the spatial relationship between variables, ensuring the conclusions are scientific and can measure the spatial effect between variables. View Full-Text
Keywords: air quality; PM2.5; spatial data; mortality; China air quality; PM2.5; spatial data; mortality; China
Figures

Figure 1

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

Cao, Q.; Liang, Y.; Niu, X. China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model. Int. J. Environ. Res. Public Health 2017, 14, 1081.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top