Air pollution and health - A provincial level analysis of China

Wei Zheng and Patrick Walsh ()

No 201819, Working Papers from Geary Institute, University College Dublin

Abstract: During the past 30 years, China has experienced high growth, and its economic expansion has been one of the strongest in world history. The rapid economic growth has accompanied by rapid increases in energy consumption, which has led to considerable air pollution and significantly affected mortality rate. In this study, Grossman Health Function was applied together with satellite-retrieved PM2.5 pollution data to estimate mortality rate caused by PM2.5 from 2001 to 2012. The results show some new evidence of the impact of sociological, economic and environmental factors on mortality rate of the population of China using the fixed effect (FE) and system generalized method of moments (GMM-sys) estimation methods. The PM2.5 has long-term positive significant effects on mortality. China is now experiencing a substantial mortality burden associated with current air pollution. Health care system and people’s education level are important in lowering mortality.

Keywords: PM2.5; Mortality rate; Temperature (search for similar items in EconPapers)
Pages: 31 pages
Date: 2018-07-27
New Economics Papers: this item is included in nep-big, nep-cna, nep-ene, nep-env, nep-hea and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201819.pdf First version, 2018 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ucd:wpaper:201819

Access Statistics for this paper

More papers in Working Papers from Geary Institute, University College Dublin Contact information at EDIRC.
Bibliographic data for series maintained by Geary Tech ().