Does public concern matter to the welfare cost of air pollution? Evidence from Chinese cities

被引:9
作者
Li, Shuyuan [1 ,2 ]
Hui, Eddie C. M. [3 ]
Wen, Haizhen [4 ]
Liu, Hongjie [1 ,5 ]
机构
[1] Zhejiang Univ, Dept Civil Engn, Hangzhou 310058, Peoples R China
[2] Zhejiang Univ, Ctr Real Estate Studying, Hangzhou 310058, Peoples R China
[3] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Peoples R China
[4] Zhejiang Univ City Coll, Sch Spatial Planning & Design, Hangzhou 310015, Peoples R China
[5] Zhejiang Univ, Polytech Inst, Hangzhou 310058, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2; 5; pollution; Public concern; Welfare cost; Willingness to pay; Housing prices; WILLINGNESS-TO-PAY; PREFECTURE-LEVEL CITIES; REAL-ESTATE VALUATION; PM2.5; CONCENTRATIONS; CLEAN-AIR; QUALITY; MODELS; HEALTH; SMOG; AMENITIES;
D O I
10.1016/j.cities.2022.103992
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Accurate estimation of the welfare cost of air pollution provides an essential reference for government authorities to formulate air prevention and control actions. Although several attempts have been made on this issue, biases are present in the estimation results due to residents' different concerns and sensitivities to air pollution. By using a panel dataset of major Chinese cities from 2014 to 2018, this study investigates how heterogeneous public concerns contribute to welfare costs of air pollution from a housing market perspective. The Baidu search index was presented as a proxy of public concern about air pollution. Results show that a 1 % increase in air pollutant concentrations leads to a 0.495 % to 0.620 % decrease in housing prices, validating the moderating effect of public concern on the welfare costs of air pollution. Public concern increases residents' willingness to pay for clean air, and this increase is associated with current pollution exposure. The findings suggest that government authorities should consider the variability of residents' willingness to pay and actual pollution levels when developing environmental policies and cost-benefit assessments.
引用
收藏
页数:11
相关论文
共 74 条
[61]   Willingness to pay for reducing fatal risk by improving air quality: A contingent valuation study in Chongqing, China [J].
Wang, Hong ;
Mullahy, John .
SCIENCE OF THE TOTAL ENVIRONMENT, 2006, 367 (01) :50-57
[62]   Macro-Impacts of Air Quality on Property Values in China-A Meta-Regression Analysis of the Literature [J].
Wang, Jianing ;
Lee, Chyi Lin ;
Shirowzhan, Sara .
BUILDINGS, 2021, 11 (02) :1-25
[63]   Social Media as a Sensor of Air Quality and Public Response in China [J].
Wang, Shiliang ;
Paul, Michael J. ;
Dredze, Mark .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2015, 17 (03)
[64]   Spatial distribution, seasonal variation and regionalization of PM2.5 concentrations in China [J].
Wang, Shuai ;
Li, Guogang ;
Gong, Zhengyu ;
Du, Li ;
Zhou, Qingtao ;
Meng, Xiaoyan ;
Xie, Shuyan ;
Zhou, Lei .
SCIENCE CHINA-CHEMISTRY, 2015, 58 (09) :1435-1443
[65]   Willingness to pay to control PM2.5 pollution in Jing-Jin-Ji Region, China [J].
Wei, Weixian ;
Wu, Yan .
APPLIED ECONOMICS LETTERS, 2017, 24 (11) :753-761
[66]   An empirical study of the impact of vehicular traffic and floor level on property price [J].
Wen, Haizhen ;
Gui, Zaiyuan ;
Zhang, Ling ;
Hui, Eddie C. M. .
HABITAT INTERNATIONAL, 2020, 97
[67]  
World Health Organization, 2021, WHO GLOBAL AIR QUALI
[68]   Can new energy vehicles subsidy curb the urban air pollution? Empirical evidence from pilot cities in China [J].
Xie, Yu ;
Wu, Desheng ;
Zhu, Shujin .
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 754
[69]   Are environmental problems a barometer of corruption in the eyes of residents? Evidence from China [J].
Yan, Guoyao ;
Hao, Yu ;
Guo, Yunxia ;
Wu, Haitao .
KYKLOS, 2022, 75 (02) :337-361
[70]   Spatial heterogeneity in spillover effect of air pollution on housing prices: Evidence from China [J].
Zhang, Haiyong ;
Chen, Jie ;
Wang, Zhen .
CITIES, 2021, 113