Are House Prices Affected by PM2.5 Pollution? Evidence from Beijing, China

被引:6
|
作者
Xue, Wenhao [1 ]
Li, Xinyao [2 ]
Yang, Zhe [1 ]
Wei, Jing [3 ]
机构
[1] Qingdao Univ, Sch Econ, Qingdao 266071, Peoples R China
[2] Beijing Normal Univ, Sch Business, Beijing 100875, Peoples R China
[3] Univ Maryland, Dept Atmospher & Ocean Sci, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
PM2.5; pollution; house price; China; educational resources; ordinary least squares; REAL-ESTATE VALUATION; AIR-POLLUTION; LEAST-SQUARES; DETERMINANTS; SHANGHAI; IMPACTS; TRENDS; MODEL;
D O I
10.3390/ijerph19148461
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the progress of high-quality development in China, residents have begun to focus on the air quality of their residential areas in an effort to reduce the health threats of air pollution. Gradually, the risk associated with air pollution has become an important factor affecting housing prices. To quantitatively analyze the impact of air pollution on house prices, panel data, including data for fine particulate matter (PM2.5) concentrations, house prices and other auxiliary variables from 2009 to 2018, were collected from 16 districts in Beijing, China. Based on this dataset, ordinary least squares (OLS), moderating effect and threshold effect models were constructed for empirical investigation. Within the studied decade, PM2.5 pollution shows a significant decreasing trend of 3.79 mu m(-3) yr(-1) (p < 0.01). For house prices, the opposite trend was found. The empirical results indicate that PM2.5 pollution has a negative effect on house prices and that every 1% increase in PM2.5 causes an approximately 0.541% decrease in house prices. However, the inhibition of PM2.5 on housing prices is moderated by regional educational resources, especially in areas with high education levels. In addition, per capita disposable income can also cause heterogeneities in the impact of PM2.5 on house prices, whereby the threshold is approximately CNY 101,185. Notably, the endogeneity problems of this study are solved by the instrumental variable method, and the results are robust. This outcome suggests that the coordinated control of air pollution and balanced educational resources among regions are required for the future sustainable development of the real estate market.
引用
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页数:17
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