Valuing urban air quality: a hedonic price analysis in Beijing, China

Although Chinese government has implemented a series of laws, regulations, and policies to deal with air pollutants, air pollution is still one of the biggest concerns in China. Most of the cities in China suffered from extremely high air pollution levels and cannot meet the national air quality sta...

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Bibliographic Details
Published in:Environmental science and pollution research international 2020, Vol.27 (2), p.1373-1385
Main Authors: Mei, Yingdan, Gao, Li, Zhang, Jiawei, Wang, Jiahao
Format: Article
Language:English
Subjects:
Air Pollutants
Air Pollution
Air quality
Air quality standards
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Beijing
China
Cities
Cost-Benefit Analysis
Earth and Environmental Science
Economic models
Ecotoxicology
Empirical analysis
Environment
Environmental Chemistry
Environmental Health
Environmental Monitoring
Environmental science
Housing
Housing - economics
Humans
Nitrogen dioxide
Outdoor air quality
Particulate Matter
Pollutants
Pollution levels
Research Article
Sulfur dioxide
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Although Chinese government has implemented a series of laws, regulations, and policies to deal with air pollutants, air pollution is still one of the biggest concerns in China. Most of the cities in China suffered from extremely high air pollution levels and cannot meet the national air quality standards. In this study, we attempt to measure individuals’ average marginal willingness to pay (MWTP) in Beijing with the hedonic price model. We combine an extensive housing transaction dataset with emission data of six air pollutants from 2013 to 2016 in Beijing, China. When estimating the hedonic price function, we apply both ordinary least squares (OLS) and panel model with various fixed effects to better control for unobservables. The empirical results reveal that the concentrations of CO, NO 2 , PM 2.5 , and PM 10 are significantly negatively correlated with housing prices. However, we found an insignificant relationship with the concentration of SO 2 and the concentration of O 3 appears to positively increase the housing values. Policy implications based on these results were also discussed.
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-019-06874-5