在家办公是否会重塑城市租赁结构?来自奥克兰租金梯度分析的早期证据

IF 1.5 Q3 URBAN STUDIES
Chung Yim Edward Yiu, K. Cheung, Dan Xia Wong
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引用次数: 1

摘要

本研究旨在通过应用租金梯度分析来比较奥克兰covid -19之前和之后的时期,以确定大流行对房屋租金的影响。来自新西兰统计综合数据基础设施的微观层面家庭人口普查数据也被用于仔细检查这种WFH趋势,作为稳健性检查。自2019冠状病毒病爆发以来,在家工作和电子商务在许多城市变得更加普遍。许多新闻报道认为,家庭正在离开城市中心,搬到郊区或农村地区更大更好的房子里。这一新兴趋势重新定义了传统的住宅选址理论。靠近中央商务区(CBD)不再是选择住所时最重要的考虑因素。WFH和电子商务将市中心的传统投标租金曲线拉平。作者研究了2013年1月至2021年12月(108个月)奥克兰地区242个郊区的微观住房租赁清单,发现享乐价格梯度模型表明,租金梯度趋于平缓,其程度在2021年几乎翻了一番。此外,在人口密度较低的郊区,租金涨幅更大。研究局限/启示研究结果表明,疫情加速了WFH和电子商务的发展趋势。作者进一步讨论了这一趋势是暂时现象还是长期转变。实际含义假设一个组织由于公司范围内的WFH能力而关注生产力和绩效问题。在这种情况下,可以实施一些针对管理层和员工的标准关键绩效指标。有远见的城市需要把重点放在吸引熟练工人上,让WFH成为一种可能的解决方案,而不是坚持陈旧的朝九晚五办公室文化的首要地位。传统上,自由职业者一直受到抵制,但在后新冠时代,越来越多的公司开始采用自由职业者政策。早期的租金梯度和微观层面的家庭数据分析都证实了WFH趋势正在出现,并可能是一个长期的转变。组织不应该抵制这种变化,而是应该针对这种WFH趋势改进他们的远程工作政策和能力。到目前为止,关于后冠状病毒肺炎城市重构的实证研究还很有限。本研究旨在通过确定COVID对新西兰奥克兰地区房屋租赁梯度的时空影响,实证检验这种城市变态。作者采用租金梯度分析来检验这一城市重构假设,因为该方法考虑了时空差异,即大流行前后时期与距离市中心的距离之间的差异。该方法可以控制空间差异和所涉及的内生性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does work from home reshape the urban rental structure? Early evidence from a rental gradient analysis in Auckland
Purpose This study aims to identify the pandemic’s impact on house rents by applying a rental gradient analysis to compare the pre-and post-COVID-19 periods in Auckland. The micro-level household census data from the Integrated Data Infrastructure of Statistics New Zealand is also applied to scrutinise this WFH trend as a robustness check. Design/methodology/approach Since the outbreak of COVID-19, work-from-home (WFH) and e-commerce have become much more common in many cities. Many news reports have contended that households are leaving city centres and moving into bigger and better houses in the suburbs or rural areas. This emerging trend has been redefining the traditional theory of residential location choices. Proximity to central business district (CBD) is no longer the most critical consideration in choosing one’s residence. WFH and e-commerce flatten the traditional bid rent curve from the city centre. Findings The authors examined micro-level housing rental listings in 242 suburbs of the Auckland Region from January 2013 to December 2021 (108 months) and found that the hedonic price gradient models suggest that there has been a trend of rental gradient flattening and that its extent was almost doubled in 2021. Rents are also found to be increasing more in lower-density suburbs. Research limitations/implications The results imply that the pandemic has accelerated the trend of WFH and e-commerce. The authors further discuss whether the trend will be a transient phenomenon or a long-term shift. Practical implications Suppose an organisation is concerned about productivity and performance issues due to a companywide ability to WFH. In that case, some standard key performance indicators for management and employees could be implemented. Forward-thinking cities need to focus on attracting skilful workers by making WFH a possible solution, not by insisting on the primacy of antiquated nine-to-five office cultures. Social implications WFH has traditionally encountered resistance, but more and more companies are adopting WFH policies in this post-COVID era. The early rental gradient and the micro-level household data analysis all confirm that the WFH trend is emerging and will likely be a long-term shift. Instead of resisting the change, organisations should improve their remote work policies and capabilities for this WFH trend. Originality/value So far, empirical studies of post-COVID urban restructuring have been limited. This study aims to empirically test such an urban metamorphosis by identifying the spatial and temporal impacts of COVID on house rental gradients in the Auckland Region, New Zealand. The authors apply rental gradient analysis to test this urban restructuring hypothesis because the method considers the spatial-temporal differences, i.e. a difference-in-differences between pre-and post-pandemic period against the distance measured from the city centre. The method can control for the spatial difference and the endogeneity involved.
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CiteScore
2.80
自引率
29.40%
发文量
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