Web of Science: The predictive roles of financial indicators and governance scores on firms' emission performance in the tourism and hospitality industry
No Thumbnail Available
Journal Title
Journal ISSN
Volume Title
Type
Article
Access
info:eu-repo/semantics/openAccess
Publication Status
Metrikler
Total Views
1
Total Downloads
0
Abstract
The tourism and hospitality (T&H) industry can significantly impact the environment by using
natural resources and waste generation. Measuring and improving firms’ emission performance in
this industry is becoming increasingly important. However, the prediction of financial indicators and
governance scores on firms’ emission performance is still poorly established. Drawing on the
agency and stakeholders’ theory, our research explores whether financial indicators and governance scores predict firms’ emission performance in the T&H industry. Data on all companies that
are publicly traded was acquired from Thomson Reuters Eikon using 485 publicly traded tourism
firms as of the end of the fiscal year 2021. Our findings suggest that governance pillar score (GP),
management score (MS), board size (BS), and market capitalization (MC) are the best four predictors of carbon emission reduction scores in T&H companies. Theoretical and practical implications are presented, and directions for further research are provided.
Date
2023.01.01
Publisher
Description
Keywords
Emission score, financial indicators, governance score, machine learning algorithms, tourism and hospitality