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与新冠疫情相关的政策冲击会使竞租曲线趋于平缓吗?来自上海房地产市场的证据。

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

作者信息

Ou Yifu, Bao Zhikang, Ng S Thomas, Xu Jun

机构信息

Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Pokfulam, Hong Kong.

Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.

出版信息

J Hous Built Environ. 2023 Apr 28:1-19. doi: 10.1007/s10901-023-10033-1.

Abstract

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.

摘要

新冠疫情极大地影响了社会经济活动和人们的日常生活,导致房地产市场的区位偏好发生变化。尽管人们已投入大量精力研究新冠疫情对房价的影响,但对于房地产市场对不断演变的疫情防控措施的反应却知之甚少。本研究使用享乐价格模型,对中国上海2018年至2021年48个月期间的区级房产交易数据进行分析,调查各种与疫情相关的政策冲击的价格梯度效应。我们发现,这些冲击显著改变了竞租曲线。武汉封城后,住宅单元的价格梯度绝对值降至-0.433,这表明人们倾向于避开市中心附近感染风险较高的区域。然而,在解封后和疫苗接种后时期,价格梯度分别升至-0.463和-0.486,这意味着人们基于低感染率和死亡率对房地产市场复苏有了理性预期。此外,我们发现武汉封城使商业地产单元的价格梯度变陡,这表明严格的疫情防控措施导致低密度区域的业务量下降和运营成本上升。本研究将研究期延长至疫苗接种后时代,为有关新冠疫情价格梯度效应的实证文献做出了贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e79/10141817/fd344f1731a7/10901_2023_10033_Fig1_HTML.jpg

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