Multi-scale spatial patterns and driving factors of intangible cultural heritage in Jiangxi Province, China

Multi-scale spatial patterns and driving factors of intangible cultural heritage in Jiangxi Province, 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 Multi-scale spatial patterns and driving factors of intangible cultural heritage in Jiangxi Province, China Qiuxi Zhang, Yong Ge, Daohong Gong, Jiao Hu, Shuping Wang, Youping Wu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7935720/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 As a regional living gene bank in the Chinese civilization system, Jiangxi's intangible cultural heritage (ICH) contains rich "local knowledge" and ecological wisdom. In-depth research on it has multiple theoretical significance and practical value for cultural ecology, heritage protection science, the construction of local knowledge, and sustainable development. However, current methods for analyzing the spatial distribution of ICH resources are relatively simple and lack a multi-level, multi-scale perspective. At the same time, when using geographic detectors to analyze driving factors, they often focus solely on each factor's explanatory power, while ignoring its positive and negative impacts. Therefore, this study takes the first six batches of 664 ICH resources in Jiangxi Province as the research object, uses GIS spatial analysis technology, combined with nearest neighbor index, kernel density estimation analysis, imbalance index, geographic concentration index, trend analysis, spatial autocorrelation and other methods, and combines multi-level, multi-scale and multi-model perspectives to comprehensively analyze the spatial distribution characteristics of ICH items in Jiangxi Province. The technique of combining a geographic detector with the Pearson correlation coefficient was introduced to analyze the driving factors of ICH items and to identify the positive or negative impact of each driving factor. The research results show that: (i) The ICH items structure in Jiangxi Province has different characteristics at different levels. (ii) The spatial distribution of ICH items in Jiangxi Province exhibits distinct characteristics at different scales. At the city level, there is a precise, clustered distribution, with more cities in the south and fewer in the north. At the county level, the number of intangible cultural heritage items is more evenly distributed across the region. (iii) The driving factors of ICH items in Jiangxi Province are greatly influenced by economic development and social culture, and less by the natural environment. Based on the above research results, this can serve as a valuable reference for theoretical research, protection, and the preservation of ICH resources. Biological sciences/Ecology Earth and environmental sciences/Ecology Earth and environmental sciences/Environmental social sciences Scientific community and society/Geography Social science/Geography Intangible cultural heritage Spatial distribution Driving factors Pearson correlation coefficient 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. 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-7935720","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":549878055,"identity":"f7679a36-76e8-4c44-99b1-9345898013c4","order_by":0,"name":"Qiuxi Zhang","email":"","orcid":"","institution":"Jiangxi Normal University","correspondingAuthor":false,"prefix":"","firstName":"Qiuxi","middleName":"","lastName":"Zhang","suffix":""},{"id":549878056,"identity":"20844366-951f-443f-932a-db9d8e6225db","order_by":1,"name":"Yong 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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":"Intangible cultural heritage, Spatial distribution, Driving factors, Pearson correlation coefficient","lastPublishedDoi":"10.21203/rs.3.rs-7935720/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7935720/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAs a regional living gene bank in the Chinese civilization system, Jiangxi's intangible cultural heritage (ICH) contains rich \"local knowledge\" and ecological wisdom. In-depth research on it has multiple theoretical significance and practical value for cultural ecology, heritage protection science, the construction of local knowledge, and sustainable development. However, current methods for analyzing the spatial distribution of ICH resources are relatively simple and lack a multi-level, multi-scale perspective. At the same time, when using geographic detectors to analyze driving factors, they often focus solely on each factor's explanatory power, while ignoring its positive and negative impacts. Therefore, this study takes the first six batches of 664 ICH resources in Jiangxi Province as the research object, uses GIS spatial analysis technology, combined with nearest neighbor index, kernel density estimation analysis, imbalance index, geographic concentration index, trend analysis, spatial autocorrelation and other methods, and combines multi-level, multi-scale and multi-model perspectives to comprehensively analyze the spatial distribution characteristics of ICH items in Jiangxi Province. The technique of combining a geographic detector with the Pearson correlation coefficient was introduced to analyze the driving factors of ICH items and to identify the positive or negative impact of each driving factor. The research results show that: (i) The ICH items structure in Jiangxi Province has different characteristics at different levels. (ii) The spatial distribution of ICH items in Jiangxi Province exhibits distinct characteristics at different scales. At the city level, there is a precise, clustered distribution, with more cities in the south and fewer in the north. At the county level, the number of intangible cultural heritage items is more evenly distributed across the region. (iii) The driving factors of ICH items in Jiangxi Province are greatly influenced by economic development and social culture, and less by the natural environment. Based on the above research results, this can serve as a valuable reference for theoretical research, protection, and the preservation of ICH resources.\u003c/p\u003e","manuscriptTitle":"Multi-scale spatial patterns and driving factors of intangible cultural heritage in Jiangxi Province, China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-26 11:37:51","doi":"10.21203/rs.3.rs-7935720/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":"4683eb30-253d-45c4-8881-8ad9345d7003","owner":[],"postedDate":"November 26th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":58504486,"name":"Biological sciences/Ecology"},{"id":58504487,"name":"Earth and environmental sciences/Ecology"},{"id":58504488,"name":"Earth and environmental sciences/Environmental social sciences"},{"id":58504489,"name":"Scientific community and society/Geography"},{"id":58504490,"name":"Social science/Geography"}],"tags":[],"updatedAt":"2026-04-03T12:10:29+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-26 11:37:51","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7935720","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7935720","identity":"rs-7935720","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}