Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China
Severe haze pollution significantly affects urban life quality and employment location choices, which in turn impact rental housing demand and housing rents. While numerous studies have delved into the effects of haze pollution on the real estate market, with a particular focus on housing prices, t...
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Vilnius Gediminas Technical University
2025-06-01
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| Series: | International Journal of Strategic Property Management |
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| Online Access: | https://mla.vilniustech.lt/index.php/IJSPM/article/view/24010 |
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| author | Dongsheng Zhan Xuan Zhou Tianhan Yang |
| author_facet | Dongsheng Zhan Xuan Zhou Tianhan Yang |
| author_sort | Dongsheng Zhan |
| collection | DOAJ |
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Severe haze pollution significantly affects urban life quality and employment location choices, which in turn impact rental housing demand and housing rents. While numerous studies have delved into the effects of haze pollution on the real estate market, with a particular focus on housing prices, there is a notable scarcity of research on its impact within China’s rental housing market. This study employs spatial panel data encompassing 289 Chinese cities from 2015 to 2021 and applies a Geographically and temporally weighted regression (GTWR) model to investigate the spatiotemporal heterogeneous effects of haze pollution on housing rents in urban China. Our results indicate that the GTWR model’s goodness-of-fit surpasses that of the OLS, GWR, and TWR models. The results of the GTWR model reveal that haze pollution has a negative effect on housing rents in China, with the eastern region experiencing a notably stronger negative impact than the western region. Moreover, this negative impact becomes increasingly stronger over time. In addition, population, economic, and social factors significantly impact housing rents in Chinese cities. These findings offer valuable insights into the relationship between haze pollution and housing rents, assisting policymakers in assessing the economic value of air pollution control in urban China.
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| format | Article |
| id | doaj-art-fefc26bf38bf4fea9d0bd34e7a4e2118 |
| institution | Kabale University |
| issn | 1648-715X 1648-9179 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | International Journal of Strategic Property Management |
| spelling | doaj-art-fefc26bf38bf4fea9d0bd34e7a4e21182025-08-20T03:45:57ZengVilnius Gediminas Technical UniversityInternational Journal of Strategic Property Management1648-715X1648-91792025-06-0129210.3846/ijspm.2025.24010Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in ChinaDongsheng Zhan0Xuan Zhou1Tianhan Yang2School of Management, Chinese Academy of Housing and Real Estate, Zhejiang University of Technology, Hangzhou, ChinaSchool of Management, Chinese Academy of Housing and Real Estate, Zhejiang University of Technology, Hangzhou, ChinaSchool of Management, Chinese Academy of Housing and Real Estate, Zhejiang University of Technology, Hangzhou, China Severe haze pollution significantly affects urban life quality and employment location choices, which in turn impact rental housing demand and housing rents. While numerous studies have delved into the effects of haze pollution on the real estate market, with a particular focus on housing prices, there is a notable scarcity of research on its impact within China’s rental housing market. This study employs spatial panel data encompassing 289 Chinese cities from 2015 to 2021 and applies a Geographically and temporally weighted regression (GTWR) model to investigate the spatiotemporal heterogeneous effects of haze pollution on housing rents in urban China. Our results indicate that the GTWR model’s goodness-of-fit surpasses that of the OLS, GWR, and TWR models. The results of the GTWR model reveal that haze pollution has a negative effect on housing rents in China, with the eastern region experiencing a notably stronger negative impact than the western region. Moreover, this negative impact becomes increasingly stronger over time. In addition, population, economic, and social factors significantly impact housing rents in Chinese cities. These findings offer valuable insights into the relationship between haze pollution and housing rents, assisting policymakers in assessing the economic value of air pollution control in urban China. https://mla.vilniustech.lt/index.php/IJSPM/article/view/24010haze pollutionhousing rentsGTWR modelspatiotemporal heterogeneous effectsChina |
| spellingShingle | Dongsheng Zhan Xuan Zhou Tianhan Yang Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China International Journal of Strategic Property Management haze pollution housing rents GTWR model spatiotemporal heterogeneous effects China |
| title | Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China |
| title_full | Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China |
| title_fullStr | Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China |
| title_full_unstemmed | Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China |
| title_short | Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China |
| title_sort | estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in china |
| topic | haze pollution housing rents GTWR model spatiotemporal heterogeneous effects China |
| url | https://mla.vilniustech.lt/index.php/IJSPM/article/view/24010 |
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