2023
DOI: 10.1108/ijchm-11-2022-1384
|View full text |Cite
|
Sign up to set email alerts
|

The bright and dark sides of ESG during the COVID-19 pandemic: evidence from China hospitality industry

Abstract: Purpose This study aims to investigate the bright and dark sides of environmental, social and governance (ESG) during the COVID-19 pandemic, including both the outbreak and recovery periods, for the Chinese hospitality industry. Design/methodology/approach Using panel data of 564 firm-quarter observations from 2018 to 2020, the authors adopt fixed-effects regression estimation with standard errors clustered at the firm level. To address potential endogeneity concerns, the authors also use the two-stage least… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 63 publications
0
1
0
Order By: Relevance
“…The total number of board meetings, firm size, leverage, board independent) to check the magnitude of impact on ESG REPORTING. Numerous studies have used these variables for firm performance, among them, (Arayssi & Jizi, 2023;Bilyay-Erdogan & Öztürkkal, 2023;Lewellyn & Muller-Kahle, 2023;Lin et al, 2023;Rahman et al, 2023;Rauf et al, 2021;. Finally, we incorporated year dummies to control for the possible influence of time, as well as industry dummies to account for the unique effect of industry.…”
Section: Control Variablesmentioning
confidence: 99%
“…The total number of board meetings, firm size, leverage, board independent) to check the magnitude of impact on ESG REPORTING. Numerous studies have used these variables for firm performance, among them, (Arayssi & Jizi, 2023;Bilyay-Erdogan & Öztürkkal, 2023;Lewellyn & Muller-Kahle, 2023;Lin et al, 2023;Rahman et al, 2023;Rauf et al, 2021;. Finally, we incorporated year dummies to control for the possible influence of time, as well as industry dummies to account for the unique effect of industry.…”
Section: Control Variablesmentioning
confidence: 99%