Synergizing high-quality tourism development and digital economy: a coupling coordination analysis in Chinese prefecture-level cities

Synergizing high-quality tourism development and digital economy: a coupling coordination analysis in Chinese prefecture-level cities | 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 Synergizing high-quality tourism development and digital economy: a coupling coordination analysis in Chinese prefecture-level cities Yuyan Luo, Yue Wang, Ziqi Pan, Huilin Li, Ziwei Yang, Bin Lai This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5342194/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 With the rapid development of digital economy(DE), it provides a new driving force for high-quality tourism development(HQTD). How to coordinate HQTD and DE is a urgent issue to be resolved. In this study, the coupling coordination degree(CCD) between HQTD and DE in Chinese prefecture-level cities was analyzed using CCD model, and the factors driving of CCD were identified using random forest. The results show that (1) Chinese city-level HQTD and DE show a rising trend from 2010 to 2019, and coastal areas have higher levels compared to central and western. (2) CCD is in bare balanced in most cities, and only Shanghai, is in superior balanced, and there is spatial heterogeneity in CCD distribution, with the central region being lower, and other regions show a trend of spreading from the core city to the surrounding areas, in addition, HQTD always lags behind DE. (3) Consumption level and tertiary industry support are the key drivers of CCD, and the driving effect is more obvious in the eastern, northern and southern, while for the southwestern and northwestern, it’s mainly dominated by the economic development level. Based on these conclusions, some policy implications are provided for the synergistic development of HQTD and DE. Business and commerce/Business and management Business and commerce/Economics Social science/Social policy High-quality tourism development digital economy Coupling coordination Random forecast Prefecture-level city Full Text Additional Declarations No competing interests reported. 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. 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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-5342194","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":392319762,"identity":"71d0fb1d-3471-4c85-a386-b16a77ef5a5f","order_by":0,"name":"Yuyan Luo","email":"","orcid":"","institution":"Chengdu University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yuyan","middleName":"","lastName":"Luo","suffix":""},{"id":392319765,"identity":"c2adc937-6ecf-44c7-a4a2-206112235f3f","order_by":1,"name":"Yue Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABFElEQVRIie3QMWrDMBSAYRmDssh0dRrcMwgESqAmPUgnE9BkdSmEjIKCtiZrSkt7BWfpLNCQxU1Xj4WAl3pwtwyGxMYQKMjgMYN+kJB4+hYBYLNdeBCU7QE3myP6EGfdvsZA9SUu6kPw9kv/ejK8v3rV+T6sqkgM9OeoBGGQKDf/MZH0gd16kvH1jo0JlzgSiM19BRhJFBxjA6EqpsSTmosUwREXNfERrYmOEoWgbyLfRUOO/KMhk+pMjt0ki8nek4onDQHwTFQnucsK6rztZnyTQjp8loRIxB4nKZ6RFw2piQxXMSmL+ZS/p27uH6qbYDXQm2yxmAbL7VNuInXwGv27tj9ZL9f8vpn8HTpnNpvNZqs7AebAY63+OtlWAAAAAElFTkSuQmCC","orcid":"","institution":"Chengdu University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Yue","middleName":"","lastName":"Wang","suffix":""},{"id":392319767,"identity":"5777c6a5-9b1e-4e47-aa4e-badab840e1d6","order_by":2,"name":"Ziqi Pan","email":"","orcid":"","institution":"Chengdu University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Ziqi","middleName":"","lastName":"Pan","suffix":""},{"id":392319770,"identity":"f09c026d-b4f9-47dc-964d-8643b148b71b","order_by":3,"name":"Huilin Li","email":"","orcid":"","institution":"Chengdu University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Huilin","middleName":"","lastName":"Li","suffix":""},{"id":392319771,"identity":"c2ac54c7-3261-472d-8d68-eb715d1591fd","order_by":4,"name":"Ziwei Yang","email":"","orcid":"","institution":"Chengdu University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Ziwei","middleName":"","lastName":"Yang","suffix":""},{"id":392319774,"identity":"7907b3c7-a564-4c4a-a831-5c2713c5f449","order_by":5,"name":"Bin Lai","email":"","orcid":"","institution":"Chengdu University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Bin","middleName":"","lastName":"Lai","suffix":""}],"badges":[],"createdAt":"2024-10-27 16:38:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5342194/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5342194/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":80547566,"identity":"d942abaa-d8c4-4e5c-a3d7-ae0cf507e57f","added_by":"auto","created_at":"2025-04-14 14:09:08","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1572195,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscriptanonymous.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5342194/v1_covered_d153986b-174e-465d-8ab0-cb02ac5fadb1.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Synergizing high-quality tourism development and digital economy: a coupling coordination analysis in Chinese prefecture-level cities","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":"High-quality tourism development, digital economy, Coupling coordination, Random forecast, Prefecture-level city","lastPublishedDoi":"10.21203/rs.3.rs-5342194/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5342194/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWith the rapid development of digital economy(DE), it provides a new driving force for high-quality tourism development(HQTD). How to coordinate HQTD and DE is a urgent issue to be resolved. In this study, the coupling coordination degree(CCD) between HQTD and DE in Chinese prefecture-level cities was analyzed using CCD model, and the factors driving of CCD were identified using random forest. The results show that (1) Chinese city-level HQTD and DE show a rising trend from 2010 to 2019, and coastal areas have higher levels compared to central and western. (2) CCD is in bare balanced in most cities, and only Shanghai, is in superior balanced, and there is spatial heterogeneity in CCD distribution, with the central region being lower, and other regions show a trend of spreading from the core city to the surrounding areas, in addition, HQTD always lags behind DE. 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