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Article: Willingness to pay for staying away from haze: Evidence from a quasi-natural experiment in Xi'an

TitleWillingness to pay for staying away from haze: Evidence from a quasi-natural experiment in Xi'an
Authors
KeywordsAir pollution
Air quality
Haze
Housing price
PSM-DID
Willingness to pay
Issue Date2020
Citation
Journal of Environmental Management, 2020, v. 262, article no. 110301 How to Cite?
AbstractPrevious studies of the residents' willingness to pay (WTP) for air quality improvement are likely suffering various endogeneity biases. Exploiting the unique opportunity of a recent quasi-experiment operation of the world's first SFT (Smog Free Tower) in China's northwestern city Xi'an, this paper reliably calibrates local residents' WTP for less exposure to haze by analyzing the price responses of housings in the neighborhoods of SFT. The hedonic regression is applied in the DID (difference-in-difference) setting, with further assistances of the PSM (propensity score matching) method, quantile regression and placebo test. The regression results consistently suggest that housing price responded positively to the installment of the SFT, and the impact estimates are closely centered around 4%. The study also indicates high-priced housings response much more to the operation of the SFT than cheap-priced housings, suggesting uneven distribution of welfare gains of air quality improvement. A cost-benefit analysis of the SFT project indicates that the economic benefits of this project far outweigh the costs involved. The paper concludes with discussions of policy implications of this paper for environment governance.
Persistent Identifierhttp://hdl.handle.net/10722/333419
ISSN
2023 Impact Factor: 8.0
2023 SCImago Journal Rankings: 1.771
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLan, Feng-
dc.contributor.authorLv, Jingzeng-
dc.contributor.authorChen, Jie-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorZhao, Zhuohui-
dc.contributor.authorPui, David Y.H.-
dc.date.accessioned2023-10-06T05:19:14Z-
dc.date.available2023-10-06T05:19:14Z-
dc.date.issued2020-
dc.identifier.citationJournal of Environmental Management, 2020, v. 262, article no. 110301-
dc.identifier.issn0301-4797-
dc.identifier.urihttp://hdl.handle.net/10722/333419-
dc.description.abstractPrevious studies of the residents' willingness to pay (WTP) for air quality improvement are likely suffering various endogeneity biases. Exploiting the unique opportunity of a recent quasi-experiment operation of the world's first SFT (Smog Free Tower) in China's northwestern city Xi'an, this paper reliably calibrates local residents' WTP for less exposure to haze by analyzing the price responses of housings in the neighborhoods of SFT. The hedonic regression is applied in the DID (difference-in-difference) setting, with further assistances of the PSM (propensity score matching) method, quantile regression and placebo test. The regression results consistently suggest that housing price responded positively to the installment of the SFT, and the impact estimates are closely centered around 4%. The study also indicates high-priced housings response much more to the operation of the SFT than cheap-priced housings, suggesting uneven distribution of welfare gains of air quality improvement. A cost-benefit analysis of the SFT project indicates that the economic benefits of this project far outweigh the costs involved. The paper concludes with discussions of policy implications of this paper for environment governance.-
dc.languageeng-
dc.relation.ispartofJournal of Environmental Management-
dc.subjectAir pollution-
dc.subjectAir quality-
dc.subjectHaze-
dc.subjectHousing price-
dc.subjectPSM-DID-
dc.subjectWillingness to pay-
dc.titleWillingness to pay for staying away from haze: Evidence from a quasi-natural experiment in Xi'an-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jenvman.2020.110301-
dc.identifier.pmid32250785-
dc.identifier.scopuseid_2-s2.0-85079879371-
dc.identifier.volume262-
dc.identifier.spagearticle no. 110301-
dc.identifier.epagearticle no. 110301-
dc.identifier.eissn1095-8630-
dc.identifier.isiWOS:000527016200028-

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