Evolutionary Game Analysis of Classified Development for Cultural Ecosystem Conservation Areas in China

Evolutionary Game Analysis of Classified Development for Cultural Ecosystem Conservation Areas in China | 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 Article Evolutionary Game Analysis of Classified Development for Cultural Ecosystem Conservation Areas in China Qimin He, Guoxin Tan, Zhongchao Shi, Chuanming Sun This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9137847/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 This study analyzes sustainable development in China's 16 National-Level Cultural Ecosystem Conservation Areas (CECAs). By constructing a three-dimensional evaluation index and applying cluster analysis, we identify four distinct development modes. Evolutionary game models are then built for each mode to analyze the dynamics between core stakeholders—government, communities, and tourism capital—identifying their Evolutionary Stable Strategies and key influencing parameters. Case studies validate the models, yielding tailored governance strategies for each mode. The research provides a holistic, cross-regional analysis framework and offers targeted guidance for balancing intangible cultural heritage protection with socio-economic development in CECAs. Humanities/Complex networks Social science/Complex networks Social science/Development studies Earth and environmental sciences/Environmental social sciences Social science/Environmental studies Scientific community and society/Geography Social science/Geography Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryDataset0403.xlsx 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-9137847","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":621783972,"identity":"b6fe3eff-3837-4794-8059-585aff5c9321","order_by":0,"name":"Qimin He","email":"","orcid":"","institution":"Jiangsu University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Qimin","middleName":"","lastName":"He","suffix":""},{"id":621783973,"identity":"5bb89b72-2913-4549-83e0-95bd5a94b4a6","order_by":1,"name":"Guoxin Tan","email":"","orcid":"","institution":"National Research Center of Cultural Industry, Central China Normal University","correspondingAuthor":false,"prefix":"","firstName":"Guoxin","middleName":"","lastName":"Tan","suffix":""},{"id":621783974,"identity":"6612db45-b330-4565-ad85-6f4886a7b329","order_by":2,"name":"Zhongchao Shi","email":"","orcid":"","institution":"National Research Center of Cultural Industry, Central China Normal University","correspondingAuthor":false,"prefix":"","firstName":"Zhongchao","middleName":"","lastName":"Shi","suffix":""},{"id":621783976,"identity":"5fe29961-438a-4a64-a09b-55f7f171a7cb","order_by":3,"name":"Chuanming Sun","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAApElEQVRIiWNgGAWjYHACxgdQhgHRWphhSonXwiZBmhb+acefVfyouZPYwN68TYKh5g5hLRK3c8xu9hx7ltjAc6xMguHYM8JaDKRz2G4zNhxObJDIMZMAMojRkv6sGKxF/g3RWhLMmCG28BCpBegXY8meY4eN23jSii0SjhGhhX92+sMPP2oOy/azH95440MNEVrggA1EJJCgYRSMglEwCkYBHgAADEE2jNQ4xOoAAAAASUVORK5CYII=","orcid":"","institution":"National Research Center of Cultural Industry, Central China Normal University","correspondingAuthor":true,"prefix":"","firstName":"Chuanming","middleName":"","lastName":"Sun","suffix":""}],"badges":[],"createdAt":"2026-03-16 12:24:33","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9137847/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9137847/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":109296628,"identity":"4a23d646-ce2c-4e22-b994-e9f4da873feb","added_by":"auto","created_at":"2026-05-15 08:48:38","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5373898,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscriptanonymous.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9137847/v1_covered_d8402abf-1733-40c4-b68c-442b1ef7b1f7.pdf"},{"id":107290874,"identity":"8cbc004f-1b0c-435c-b6a9-3aa4c9b8aa5a","added_by":"auto","created_at":"2026-04-20 05:37:38","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":12608,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryDataset0403.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9137847/v1/dfc4c1a610901f4653df6bed.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Evolutionary Game Analysis of Classified Development for Cultural Ecosystem Conservation Areas in China","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","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":"","lastPublishedDoi":"10.21203/rs.3.rs-9137847/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9137847/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study analyzes sustainable development in China's 16 National-Level Cultural Ecosystem Conservation Areas (CECAs). 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