An Analysis of Green Loan Mechanisms Fostering ESG Transition in the Hotel Industry: A Tripartite Evolutionary Game Model Approach

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher
AI-generated deep summary by claude@2026-07, 2026-07-05 · read from full text

This preprint studies how green loans influence ESG transition in the hotel industry by modeling strategic interactions among three actors—government, banks, and hotels—using a tripartite evolutionary game framework grounded in Institutional Theory. The authors incorporate bounded-rational decision-making and embed RevPAR to represent operational realities, then run numerical simulations and sensitivity analyses varying regulatory intensity (α) to examine how policy conditions shape green-transition behavior. They report that regulatory intensity (α) has a nonlinear impact on hotels’ green-transition behavior, and they highlight that the initial willingness of government to provide incentives plays a pivotal role in institutional outcomes. The paper is explicitly presented as a preprint and not peer reviewed, which is a stated limitation. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract Purpose: In response to growing global sustainability demands, this study examines how green loans foster ESG transition in the hotel industry through strategic coordination among government, banks, and hotels. Design/methodology/approach: Grounded in Institutional Theory, this study innovatively introduces a tripartite evolutionary game model to capture bounded-rational decisions under varying policy conditions and embeds RevPAR to reflect operational realities. Numerical simulations across different regulatory intensities (α) and sensitivity analyses are conducted to explore the mechanism through which policy variation shapes green-transition behavior. Findings: The results reveal that α, as a key exogenous factor, exerts a marked nonlinear effect on hotels’ green-transition behavior. Findings also underscore the pivotal role of initial government incentive willingness in shaping institutional outcomes, offering theoretical and practical insights for optimizing green loan mechanisms and regulatory design to advance ESG transition in the hotel sector. Originality/value: This study integrates Institutional Theory with a tripartite evolutionary game model and embeds RevPAR to align theoretical analysis with hotel operational realities. By revealing the nonlinear effect of regulatory intensity (α) and emphasizing the role of initial government incentive willingness, it offers valuable insights for improving green loan mechanisms and regulatory design in the hotel sector.
Full text 11,022 characters · extracted from preprint-html · click to expand
An Analysis of Green Loan Mechanisms Fostering ESG Transition in the Hotel Industry: A Tripartite Evolutionary Game Model Approach | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article An Analysis of Green Loan Mechanisms Fostering ESG Transition in the Hotel Industry: A Tripartite Evolutionary Game Model Approach Zhihan Duan, Imran Ahmad This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8970249/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Purpose: In response to growing global sustainability demands, this study examines how green loans foster ESG transition in the hotel industry through strategic coordination among government, banks, and hotels. Design/methodology/approach: Grounded in Institutional Theory, this study innovatively introduces a tripartite evolutionary game model to capture bounded-rational decisions under varying policy conditions and embeds RevPAR to reflect operational realities. Numerical simulations across different regulatory intensities (α) and sensitivity analyses are conducted to explore the mechanism through which policy variation shapes green-transition behavior. Findings: The results reveal that α, as a key exogenous factor, exerts a marked nonlinear effect on hotels’ green-transition behavior. Findings also underscore the pivotal role of initial government incentive willingness in shaping institutional outcomes, offering theoretical and practical insights for optimizing green loan mechanisms and regulatory design to advance ESG transition in the hotel sector. Originality/value: This study integrates Institutional Theory with a tripartite evolutionary game model and embeds RevPAR to align theoretical analysis with hotel operational realities. By revealing the nonlinear effect of regulatory intensity (α) and emphasizing the role of initial government incentive willingness, it offers valuable insights for improving green loan mechanisms and regulatory design in the hotel sector. Mathematical modelling Mathematical Methods Problem solving Sustainability Decision making Governance Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8970249","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":597090561,"identity":"ff1141b2-d9f6-4fd1-a53b-3b28f7db8a6e","order_by":0,"name":"Zhihan Duan","email":"","orcid":"","institution":"Florida International University","correspondingAuthor":false,"prefix":"","firstName":"Zhihan","middleName":"","lastName":"Duan","suffix":""},{"id":597090562,"identity":"459cd7ce-0449-4a6d-814e-d9b49207f9e9","order_by":1,"name":"Imran Ahmad","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAArklEQVRIiWNgGAWjYBACNgYeEGnDzwbi8ZCgJU2yjWgtEGVshyUbiNbCx3726IYfZecl+CQSGB+8bSPGYTx5aTd7zt2WYJNIYDacS5QWhhyzG7xtt+uAWtikeYnSwv/G7ObftnMgW9h/E6dFIsfsNm/bAZAWNmYitbwxuy1zLlmCjedhs+Scc0Roke/PMbv5psxOQr49+eCHN2VEaEECjA2kqR8Fo2AUjIJRgBsAABpmLsEA3MrbAAAAAElFTkSuQmCC","orcid":"","institution":"Florida International University","correspondingAuthor":true,"prefix":"","firstName":"Imran","middleName":"","lastName":"Ahmad","suffix":""}],"badges":[],"createdAt":"2026-02-25 17:33:21","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8970249/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8970249/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103508249,"identity":"04f73e68-5c24-4293-bcc1-93a686957a94","added_by":"auto","created_at":"2026-02-26 13:47:50","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":989804,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8970249/v1_covered_f55c17bd-45a0-4d64-a9ab-f37472e92874.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eAn Analysis of Green Loan Mechanisms Fostering ESG Transition in the Hotel Industry: A Tripartite Evolutionary Game Model Approach\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Florida International University","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Mathematical modelling, Mathematical Methods, Problem solving, Sustainability, Decision making, Governance","lastPublishedDoi":"10.21203/rs.3.rs-8970249/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8970249/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose:\u003c/h2\u003e \u003cp\u003eIn response to growing global sustainability demands, this study examines how green loans foster ESG transition in the hotel industry through strategic coordination among government, banks, and hotels.\u003c/p\u003e\u003ch2\u003eDesign/methodology/approach:\u003c/h2\u003e \u003cp\u003eGrounded in Institutional Theory, this study innovatively introduces a tripartite evolutionary game model to capture bounded-rational decisions under varying policy conditions and embeds RevPAR to reflect operational realities. Numerical simulations across different regulatory intensities (α) and sensitivity analyses are conducted to explore the mechanism through which policy variation shapes green-transition behavior.\u003c/p\u003e\u003ch2\u003eFindings:\u003c/h2\u003e \u003cp\u003eThe results reveal that α, as a key exogenous factor, exerts a marked nonlinear effect on hotels\u0026rsquo; green-transition behavior. Findings also underscore the pivotal role of initial government incentive willingness in shaping institutional outcomes, offering theoretical and practical insights for optimizing green loan mechanisms and regulatory design to advance ESG transition in the hotel sector.\u003c/p\u003e\u003ch2\u003eOriginality/value:\u003c/h2\u003e \u003cp\u003eThis study integrates Institutional Theory with a tripartite evolutionary game model and embeds RevPAR to align theoretical analysis with hotel operational realities. By revealing the nonlinear effect of regulatory intensity (α) and emphasizing the role of initial government incentive willingness, it offers valuable insights for improving green loan mechanisms and regulatory design in the hotel sector.\u003c/p\u003e","manuscriptTitle":"An Analysis of Green Loan Mechanisms Fostering ESG Transition in the Hotel Industry: A Tripartite Evolutionary Game Model Approach","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-26 06:45:01","doi":"10.21203/rs.3.rs-8970249/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"07ef06ba-0500-4e97-9822-6099b0d0664a","owner":[],"postedDate":"February 26th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-02-26T06:45:02+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-26 06:45:01","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8970249","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8970249","identity":"rs-8970249","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-26T02:00:01.498150+00:00
License: CC-BY-4.0