Support Policies for Small Businesses During the Covid-19 Crisis: Evidence from Club Convergence Clustering Approach

被引：1
|
作者：
Lau, Chi Keung [1 ]
Zhang, Dongna [2 ]
Gozgor, Giray [3 ,4 ,5 ,6 ]
机构：
[1] Zhejiang Yuexiu Univ Foreign Languages, Sch Hospitality Adm, Shaoxing, Peoples R China
[2] Teesside Univ, Int Business Sch, Middlesbrough, England
[3] Univ Bradford, Sch Management, Bradford, England
[4] Istanbul Medeniyet Univ, Fac Polit Sci, Istanbul, Turkiye
[5] Lebanese Amer Univ, Adnan Kassar Sch Business, Beirut, Lebanon
[6] Univ Bradford, Sch Management, Richmond Rd, Bradford BD7 1DP, England
来源：
EMERGING MARKETS FINANCE AND TRADE | 2024年 / 60卷 / 03期
关键词：
Covid-19; pandemic; business support policies; convergence clustering; convergence testing procedure; small and medium-sized enterprises; COUNTRY; EUROPE;
D O I：
10.1080/1540496X.2023.2228466
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：401 / 416
页数：16
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