Evidence map›Paper›PMID 35880115›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2022

Business recovery from disasters: Lessons from natural hazards and the COVID-19 pandemic.

Stephanie E Chang, Charlotte Brown, John Handmer, Jennifer Helgeson, Yoshio Kajitani, Adriana Keating, Ilan Noy, Maria Watson, Sahar Derakhshan, Juri Kim and 1 more

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. COVID-19, Cities and Inequality.Applied geography (Sevenoaks, England) · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Stephanie E ChangSchool of Community and Regional Planning (SCARP) and Institute for Resources, Environment and Sustainability (IRES), University of British Columbia, 433-6333 Memorial Rd., Vancouver, BC V6T1Z2, Canada.
Charlotte BrownResilient Organisations Ltd., Unit 2, 188 Durham Street South, Christchurch, 8011, New Zealand.
John HandmerInternational Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361, Laxenburg, Austria.
Jennifer HelgesonNational Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, USA.
Yoshio KajitaniFaculty of Engineering and Design, Kagawa University, 2217-20, Hayashicho, Takamatsu City, Kagawa, 7610396, Japan.
Adriana KeatingInternational Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361, Laxenburg, Austria.
Ilan NoyVictoria University of Wellington, POB 600, Wellington, 6140, New Zealand.
Maria WatsonM.E. Rinker, Sr. School of Construction Management and Shimberg Center for Housing Studies, University of Florida, P.O. Box 115703, Gainesville, FL 32611-5703, USA.
Sahar DerakhshanInstitute of the Environment and Sustainability (IoES), University of California Los Angeles, 300 LaKretz Hall, Los Angeles, CA 90095, USA.
Juri KimSchool of Community and Regional Planning (SCARP), University of British Columbia, 433-6333 Memorial Rd., Vancouver, BC V6T1Z2, Canada.
Alfredo Roa-HenriquezCollege of Business and Challey Institute for Global Innovation and Growth, North Dakota State University, NDSU Dept. 2400, P.O. Box 6050, Fargo, ND 58108-6050, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper compares economic recovery in the COVID-19 pandemic with other types of disasters, at the scale of businesses. As countries around the world struggle to emerge from the pandemic, studies of business impact and recovery have proliferated; however, pandemic research is often undertaken without the benefit of insights from long-standing research on past large-scale disruptive events, such as floods, storms, and earthquakes. This paper builds synergies between established knowledge on business recovery in disasters and emerging insights from the COVID-19 pandemic. It first proposes a disaster event taxonomy that allows the pandemic to be compared with natural hazard events from the perspective of economic disruption. The paper then identifies five key lessons on business recovery from disasters and compares them to empirical findings from the COVID-19 pandemic. For synthesis, a conceptual framework on business recovery is developed to support policy-makers to anticipate business recovery needs in economically disruptive events, including disasters. Findings from the pandemic largely resonate with those from disasters. Recovery tends to be more difficult for small businesses, those vulnerable to supply chain problems, those facing disrupted markets, and locally-oriented businesses in heavily impacted neighborhoods. Disaster assistance that is fast and less restrictive provides more effective support for business recovery. Some differences emerge, however: substantial business disruption in the pandemic derived from changes in demand due to regulatory measures as well as consumer behaviour; businesses in high-income neighborhoods and central business districts were especially affected; and traditional forms of financial assistance may need to be reconsidered.

Indexed as

Business recoveryCOVID-19 pandemicDisastersEconomicInternational reviewVulnerability factors

Identifiers

PMID35880115
PMCPMC9300585

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.