PMID- 34882688
OWN - NLM
STAT- MEDLINE
DCOM- 20211217
LR  - 20231103
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 16
IP  - 12
DP  - 2021
TI  - Research on the impact of COVID-19 on Chinese small and medium-sized enterprises: 
      Evidence from Beijing.
PG  - e0257036
LID - 10.1371/journal.pone.0257036 [doi]
LID - e0257036
AB  - COVID-19 leads small and medium-sized enterprises (SMEs) to survive very hard. 
      The development difficulties of SMEs lead to weak employment and GDP growth in 
      various countries. In the process of COVID-19's continuous spread, what is the 
      major reason for the difficulties of SMEs? This paper hopes to answer this 
      question by studying SMEs in Beijing. On this basis, this paper uses structural 
      equation model (SEM) to study the relatively fast recovery of SMEs in Beijing, 
      China, to explore the factors affecting SMEs in the pandemic. After detailed desk 
      research and interviews with relevant entrepreneurs, this paper collects 234 
      valid questionnaires from SMEs in various industries in Beijing with the help of 
      Federation of Industry and Commerce and Chamber of Commerce in Beijing. Then the 
      data is analyzed with the SEM, which shows the relationship between cash flow 
      from financing activities, markets, employees, costs, government policies and the 
      impact of the pandemic. Finally, an impact model of the pandemic on SMEs is 
      established. The result of the model indicates that the direct effect of the 
      pandemic on the market is the most prominent, and government policies can 
      significantly reduce the negative impact of the pandemic on SMEs indirectly. 
      Based on this, this paper puts forward some policy suggestions, such as the 
      targeted issuance of consumption vouchers and the reduction of administrative 
      barriers. This will enable megacities in various countries to improve policy 
      support for SMEs and promote the recovery and development of SMEs.
FAU - Ma, Zhengwei
AU  - Ma Z
AUID- ORCID: 0000-0002-3783-8435
AD  - School of Economics and Management, China University of Petroleum Beijing, 
      Beijing, China.
FAU - Liu, Yiran
AU  - Liu Y
AD  - School of Economics and Management, China University of Petroleum Beijing, 
      Beijing, China.
FAU - Gao, Yida
AU  - Gao Y
AD  - School of Economics and Management, China University of Petroleum Beijing, 
      Beijing, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20211209
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Beijing/epidemiology
MH  - COVID-19/*epidemiology/virology
MH  - Humans
MH  - Industry/*economics
MH  - Models, Theoretical
MH  - SARS-CoV-2/isolation & purification
MH  - Surveys and Questionnaires
PMC - PMC8659340
COIS- NO authors have competing interests.
EDAT- 2021/12/10 06:00
MHDA- 2021/12/18 06:00
PMCR- 2021/12/09
CRDT- 2021/12/09 17:28
PHST- 2021/04/16 00:00 [received]
PHST- 2021/08/20 00:00 [accepted]
PHST- 2021/12/09 17:28 [entrez]
PHST- 2021/12/10 06:00 [pubmed]
PHST- 2021/12/18 06:00 [medline]
PHST- 2021/12/09 00:00 [pmc-release]
AID - PONE-D-21-12192 [pii]
AID - 10.1371/journal.pone.0257036 [doi]
PST - epublish
SO  - PLoS One. 2021 Dec 9;16(12):e0257036. doi: 10.1371/journal.pone.0257036. 
      eCollection 2021.