Web of Science:
The predictive roles of financial indicators and governance scores on firms' emission performance in the tourism and hospitality industry

dc.contributor.authorOlorunsola, V.O.
dc.contributor.authorSaydam, M.B.
dc.contributor.authorArici, H.E.
dc.contributor.authorKöseoglu, M.A.
dc.date.accessioned2023-11-08T05:51:48Z
dc.date.available2023-11-08T05:51:48Z
dc.date.issued2023.01.01
dc.description.abstractThe 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.
dc.identifier.doi10.1177/13548166231207132
dc.identifier.eissn2044-0375
dc.identifier.endpage
dc.identifier.issn1354-8166
dc.identifier.issue
dc.identifier.startpage
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:001087642500001&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/17852
dc.identifier.volume
dc.identifier.wos001087642500001
dc.language.isoen
dc.relation.ispartofTOURISM ECONOMICS
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEmission score, financial indicators, governance score, machine learning algorithms, tourism and hospitality
dc.titleThe predictive roles of financial indicators and governance scores on firms' emission performance in the tourism and hospitality industry
dc.typeArticle
dspace.entity.typeWos

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