SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(external source)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.18335/region.v8i2.349

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

The Pandemic Economy

[journal article]

Credit, Kevin
Lieshout, Emma van

Abstract

Since its emergence in 2019, the worldwide spread of the novel coronavirus SARS-CoV-2 (COVID-19) has created a vast economic crisis as government lockdowns place considerable strain on businesses of all kinds – particularly those that rely on face-to-face contact, such as retail restaurants, and per... view more

Since its emergence in 2019, the worldwide spread of the novel coronavirus SARS-CoV-2 (COVID-19) has created a vast economic crisis as government lockdowns place considerable strain on businesses of all kinds – particularly those that rely on face-to-face contact, such as retail restaurants, and personal services. Given the recent emergence of the virus and lags in data collection and publication, the highest-quality fine-grained spatial datasets on economic behavior will not reflect virus-related impacts for at least a year. At the same time, in order to make evidence-based decisions on policies regarding continuing lockdown and/or re-opening policies, local governments and researchers need to understand neighborhood-level economic effects much sooner than that. This paper makes use of the point-level Chicago Business License dataset, which is updated on a weekly basis, to examine the impact of the COVID-19 pandemic on new business activity in the City of Chicago. The results indicate that on average, from March to September 2020, total monthly new business starts have declined by 33.4% compared to the monthly average of new starts in the City from January 2016 to December 2019. Food service and retail businesses have been hardest hit during this period, while chains of all types have seen larger average declines in new startup activity than independent businesses. These patterns demonstrate interesting intra-urban spatial heterogeneity; ZIP codes with the largest pandemic-related declines in new business activity tend to be have larger rates average rates of new business creation to begin with and also have less dense, diverse, and walkable built environments (defined in more detail below), while, interestingly, observed COVID-19 case rates do not appear to have an individually-significant impact on new business deficits.... view less

Keywords
epidemic; economic impact; economic development (on national level); setting up a business; regional factors; urban development; urban planning

Classification
Area Development Planning, Regional Research
Economic and Social Geography

Free Keywords
COVID-19; Coronavirus

Document language
English

Publication Year
2021

Page/Pages
p. 29-56

Journal
Region: the journal of ERSA, 8 (2021) 2

ISSN
2409-5370

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-NonCommercial 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.