TY - JOUR
T1 - Support Policies for Small Businesses During the Covid-19 Crisis
T2 - Evidence from Club Convergence Clustering Approach
AU - Lau, Chi Keung
AU - Zhang, Dongna
AU - Gozgor, Giray
N1 - Publisher Copyright:
© 2023 Taylor & Francis Group, LLC.
PY - 2023/7/5
Y1 - 2023/7/5
N2 - This paper examines the small business net revenue club convergence clustering dynamics in 51 states in the United States during the first wave of the Covid-19 pandemic. Our analysis is based on the daily data from January 10, 2020, to June 8, 2020. The results indicate that there was only one club convergence for all states during the first wave of the Covid-19 pandemic. This evidence implies that the support policies enacted during the Covid-19 crisis for small and medium-sized enterprises were effective.
AB - This paper examines the small business net revenue club convergence clustering dynamics in 51 states in the United States during the first wave of the Covid-19 pandemic. Our analysis is based on the daily data from January 10, 2020, to June 8, 2020. The results indicate that there was only one club convergence for all states during the first wave of the Covid-19 pandemic. This evidence implies that the support policies enacted during the Covid-19 crisis for small and medium-sized enterprises were effective.
UR - http://www.scopus.com/inward/record.url?scp=85164494251&partnerID=8YFLogxK
U2 - 10.1080/1540496X.2023.2228466
DO - 10.1080/1540496X.2023.2228466
M3 - Article
AN - SCOPUS:85164494251
SN - 1540-496X
JO - Emerging Markets Finance and Trade
JF - Emerging Markets Finance and Trade
ER -