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      Impacts of Haze on Housing Prices: An Empirical Analysis Based on Data from Chengdu (China)

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          Abstract

          Based on cross-section data of 20 districts in Chengdu, this article reviews the relationships between haze and housing prices with the combined application of Spatial Error Model (SEM) and Spatial Lag Model (SLM). The results illustrate that haze significantly have negative impacts on both the selling and rental prices of houses. Controlling other variables, if the air quality index rises by 0.1, the housing selling prices and rental prices will drop by 3.97% and 4.01%, respectively. Interestingly, housing rental prices have a more significant response to the air quality than housing sale prices. Residents are willing to pay a premium for better air quality and the influence of air quality is partially reflected in housing prices, which indicates that better air quality has been becoming a scarce resource with the improvement of people’s living standard. Furthermore, the impacts of haze on housing prices are also expected to lead to a “crowding out effect” in different regions. This would be detrimental for human capital accumulation and will accelerate the regional divergence in the internal economy and population structure, thus forming a region “fence” within cities.

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          Most cited references38

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          The Contiguity Ratio and Statistical Mapping

          R C GEARY (1954)
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            Hedonic housing prices and the demand for clean air

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              The Determinants of Residential Property Values with Special Reference to Air Pollution

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                02 June 2018
                June 2018
                : 15
                : 6
                : 1161
                Affiliations
                [1 ]Institute of Land Economics and Land Management, Sichuan University, Chengdu 610065, China; liurq@ 123456scu.edu.cn
                [2 ]School of Public Administration, Sichuan University, Chengdu 610065, China; 2015225010159@ 123456stu.scu.edu.cn (C.Y.); 2017225010138@ 123456stu.scu.edu.cn (J.J.)
                [3 ]Business School, Sichuan University, Chengdu 610065, China; 2016225025022@ 123456stu.scu.edu.cn
                [4 ]The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China
                Author notes
                [* ]Correspondence: jingxu@ 123456scu.edu.cn ; Tel.: +86-28-8541-5581
                Article
                ijerph-15-01161
                10.3390/ijerph15061161
                6025591
                29865260
                77a1413a-6c67-4b3b-a4b6-98ce6e0fdfb3
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 April 2018
                : 31 May 2018
                Categories
                Article

                Public health
                haze,air quality,housing prices,spatial error model,spatial lag model,hedonic price model

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