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Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai

The COVID-19 pandemic has drastically affected the socioeconomic activities and peoples’ daily life, resulting in a change in locational preferences in the real estate markets. Although enormous efforts have been devoted to examining the housing price impacts of the COVID-19 pandemic, little is know...

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Autores principales: Ou, Yifu, Bao, Zhikang, Ng, S. Thomas, Xu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141817/
https://www.ncbi.nlm.nih.gov/pubmed/37360066
http://dx.doi.org/10.1007/s10901-023-10033-1
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author Ou, Yifu
Bao, Zhikang
Ng, S. Thomas
Xu, Jun
author_facet Ou, Yifu
Bao, Zhikang
Ng, S. Thomas
Xu, Jun
author_sort Ou, Yifu
collection PubMed
description The COVID-19 pandemic has drastically affected the socioeconomic activities and peoples’ daily life, resulting in a change in locational preferences in the real estate markets. Although enormous efforts have been devoted to examining the housing price impacts of the COVID-19 pandemic, little is known about the responses of the real estate markets to the evolving pandemic control measures. This study investigates the price gradient effects of various pandemic-related policy shocks using a hedonic price model on the district-level property transaction data in Shanghai, China over a 48-month period from 2018 to 2021. We found that these shocks have significantly altered the bid-rent curves. The price gradient for residential property units decreased in absolute value to − 0.433 after Wuhan’s lockdown, demonstrating peoples’ preferences to avoid the high infection risks in districts closer to the city center. However, in the post-reopening and post-vaccine periods, the price gradient increased to − 0.463 and − 0.486, respectively, implying rational expectations of a recovering real estate market for the low infection and mortality rates. In addition, we discovered that Wuhan’s lockdown has steepened the price gradient for commercial property units, suggesting a decline in business volumes and an increase in operating costs in the low-density districts imposed by the strict pandemic control measures. This study contributes to the empirical literature on the price gradient effects of the COVID-19 pandemic by extending the study period to the post-vaccine era.
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spelling pubmed-101418172023-05-01 Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai Ou, Yifu Bao, Zhikang Ng, S. Thomas Xu, Jun J Hous Built Environ Article The COVID-19 pandemic has drastically affected the socioeconomic activities and peoples’ daily life, resulting in a change in locational preferences in the real estate markets. Although enormous efforts have been devoted to examining the housing price impacts of the COVID-19 pandemic, little is known about the responses of the real estate markets to the evolving pandemic control measures. This study investigates the price gradient effects of various pandemic-related policy shocks using a hedonic price model on the district-level property transaction data in Shanghai, China over a 48-month period from 2018 to 2021. We found that these shocks have significantly altered the bid-rent curves. The price gradient for residential property units decreased in absolute value to − 0.433 after Wuhan’s lockdown, demonstrating peoples’ preferences to avoid the high infection risks in districts closer to the city center. However, in the post-reopening and post-vaccine periods, the price gradient increased to − 0.463 and − 0.486, respectively, implying rational expectations of a recovering real estate market for the low infection and mortality rates. In addition, we discovered that Wuhan’s lockdown has steepened the price gradient for commercial property units, suggesting a decline in business volumes and an increase in operating costs in the low-density districts imposed by the strict pandemic control measures. This study contributes to the empirical literature on the price gradient effects of the COVID-19 pandemic by extending the study period to the post-vaccine era. Springer Netherlands 2023-04-28 /pmc/articles/PMC10141817/ /pubmed/37360066 http://dx.doi.org/10.1007/s10901-023-10033-1 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ou, Yifu
Bao, Zhikang
Ng, S. Thomas
Xu, Jun
Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai
title Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai
title_full Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai
title_fullStr Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai
title_full_unstemmed Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai
title_short Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai
title_sort do covid-19 pandemic-related policy shocks flatten the bid-rent curve? evidence from real estate markets in shanghai
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141817/
https://www.ncbi.nlm.nih.gov/pubmed/37360066
http://dx.doi.org/10.1007/s10901-023-10033-1
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