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      Commercial dynamics in urban China during the COVID-19 recession: Vulnerability and short-term adaptation of commercial centers in Shanghai

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          Abstract

          Studying the commercial dynamics during the COVID-19 recession could help deepen our understanding of how the pandemic damages the commercial economy and how to against the pandemic. This study aims to explore the vulnerability and adaptation of commercial centers using a weekly consumption data of UnionPay cards in Shanghai. A vulnerability index and multiscale geographically weighted regressions (MGWR) are employed. Our results suggest that retail, leisure, and entertainment sectors are less vulnerable to the pandemic at the early stage, when catering, life service, and wholesale sectors are more influenced. Catering, life service, and wholesale sectors were better adapted to the second wave of the pandemic, while the retail and entertainment sectors were even more vulnerable. Further analysis using MGWR models suggests that the commercial centers with higher consumption volume are better adapted to the shock. The diversity of commercial sectors mainly reduces low-level commercial centers' vulnerability to the pandemic. The commercial centers targeting high-end consumers with wider hinterland were less adapted to the pandemic. These research outcomes reveal the disparities in commercial centers' vulnerability against COVID-19 and highlight adaptation's role during the pandemic.

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          The Socio-Economic Implications of the Coronavirus and COVID-19 Pandemic: A Review

          The COVID-19 pandemic has resulted in over 1.4 million confirmed cases and over 83,000 deaths globally. It has also sparked fears of an impending economic crisis and recession. Social distancing, self-isolation and travel restrictions forced a decrease in the workforce across all economic sectors and caused many jobs to be lost. Schools have closed down, and the need of commodities and manufactured products has decreased. In contrast, the need for medical supplies has significantly increased. The food sector has also seen a great demand due to panic-buying and stockpiling of food products. In response to this global outbreak, we summarise the socio-economic effects of COVID-19 on individual aspects of the world economy.
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            Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity

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                Author and article information

                Journal
                Appl Geogr
                Appl Geogr
                Applied Geography (Sevenoaks, England)
                Elsevier Ltd.
                0143-6228
                0143-6228
                21 January 2023
                March 2023
                21 January 2023
                : 152
                : 102889
                Affiliations
                [a ]School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
                [b ]Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 214000, China
                [c ]School of Geographic Science, Nanjing Normal University, Nanjing, 210023, China
                Author notes
                []Corresponding author.
                Article
                S0143-6228(23)00020-6 102889
                10.1016/j.apgeog.2023.102889
                9860259
                50c08244-a85e-409d-a95f-c86f1f8cf78b
                © 2023 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 20 June 2022
                : 19 December 2022
                : 17 January 2023
                Categories
                Article

                urban commercial center,vulnerability,short-term adaptation,mgwr model,unionpay card data,covid-19 pandemic

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