Evidence map›Paper›PMID 32885048›Full record

ArticleGlobal health research and policy2020

The impact of the COVID-19 pandemic on firms: a survey in Guangdong Province, China.

Peng Zou, Di Huo, Meng Li

Abstract read
In one paragraph

Article in Global health research and policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Health Services Utilization in China during the COVID-19 Pandemic: Results from a Large-Scale Online Survey.International journal of environmental research and public health · 2022
    Article
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  7. Article
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  12. Review
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

3 authors.

Peng ZouSchool of Management, Harbin Institute of Technology, No. 13 Fayuan District, Harbin, 150001 China.
Di HuoSchool of Management, Harbin Institute of Technology, No. 13 Fayuan District, Harbin, 150001 China.
Meng LiSchool of Management, Harbin Institute of Technology, No. 13 Fayuan District, Harbin, 150001 China.ORCID 0000-0003-4617-7920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has affected all sectors of the world economy and society. To understand the impact of the pandemic on firms in China and suggest public policies to deal with the negative effects, we investigated firms in Guangdong Province. Methods: The survey sample included 524 firms in 15 cities in Guangdong Province. We chose these firms from the list published by the government, considering the industrial characteristics of Guangdong province and firm size. The questionnaire was developed based on previous studies carried out by UNDP. It comprised four categories with a total of 17 questions. The executives of firms were contacted by telephone or WeChat, and were invited to answer self-administered questionnaires through an online survey platform. The data was analyzed by SPSS. Results: The following key findings were revealed through the survey: (1) 48.7% of firms maintained stability, and 35.1% experienced a halt in operation or faced closure; (2) Nearly 70-90% already exploit online commerce or are willing to do so, and also remote office work, and digital operations. (3) 46% believe that they will certainly incur losses for 2020, and 83.5% expect the city's GDP to decrease. Conclusions: Firms in Guangdong Province have faced great challenges in the epidemic. Their production and operation activities have been limited, and they are facing significant risks. It is necessary to implement policies that would profoundly lower production costs for firms, help them survive this difficult period, and gradually return to normal business.

Indexed as

COVID-19ChinaCommercePandemicsCOVID-19 pandemicEconomic impactHealth risksPublic policy

Identifiers

PMID32885048
PMCPMC7462739

What OpenQuestion holds

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Registered trials

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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.