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

Chi Keung Lau; Dongna Zhang; Giray Gozgor

doi:10.1080/1540496X.2023.2228466

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

Chi Keung Lau, Dongna Zhang, Giray Gozgor^*

^*Corresponding author for this work

Accounting and Financial Management Department

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

22 Downloads (Pure)

Abstract

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.

Original language	English
Pages (from-to)	401-416
Number of pages	16
Journal	Emerging Markets Finance and Trade
Volume	60
Issue number	3
Early online date	5 Jul 2023
DOIs	https://doi.org/10.1080/1540496X.2023.2228466
Publication status	Published - 19 Feb 2024

Keywords

C22
Covid-19 pandemic
E32
M21
business support policies
convergence clustering
convergence testing procedure
small and medium-sized enterprises

Access to Document

10.1080/1540496X.2023.2228466Licence: CC BY-NC-ND

Support Policies for Small Businesses During the Covid-19 Crisis Evidence from Club Convergence Clustering ApproachFinal published version, 2.83 MBLicence: CC BY-NC-ND

Cite this

@article{5217452722174bbe9b4a5f5fc7611d70,

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

abstract = "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.",

keywords = "C22, Covid-19 pandemic, E32, M21, business support policies, convergence clustering, convergence testing procedure, small and medium-sized enterprises",

author = "Lau, {Chi Keung} and Dongna Zhang and Giray Gozgor",

year = "2024",

month = feb,

day = "19",

doi = "10.1080/1540496X.2023.2228466",

language = "English",

volume = "60",

pages = "401--416",

journal = "Emerging Markets Finance and Trade",

issn = "1540-496X",

publisher = "M.E. Sharpe Inc.",

number = "3",

}

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

PY - 2024/2/19

Y1 - 2024/2/19

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.

KW - C22

KW - Covid-19 pandemic

KW - E32

KW - M21

KW - business support policies

KW - convergence clustering

KW - convergence testing procedure

KW - small and medium-sized enterprises

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

SN - 1540-496X

VL - 60

SP - 401

EP - 416

JO - Emerging Markets Finance and Trade

JF - Emerging Markets Finance and Trade

IS - 3

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Cite this