Literature DB >> 32250785

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

Feng Lan1, Jingzeng Lv2, Jie Chen3, Xiaoling Zhang4, Zhuohui Zhao5, David Y H Pui6.   

Abstract

Previous 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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Air pollution; Air quality; Haze; Housing price; PSM-DID; Willingness to pay

Year:  2020        PMID: 32250785     DOI: 10.1016/j.jenvman.2020.110301

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Exploring the Spatial Heterogeneity of Residents' Marginal Willingness to Pay for Clean Air in Shanghai.

Authors:  Ziliang Lai; Xinghua Liu; Wenxiang Li; Ye Li; Guojian Zou; Meiting Tu
Journal:  Front Public Health       Date:  2021-12-24
  1 in total

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