Evaluating the Nexus of Vocational Training, Rural Renaissance, and Shared Affluence in Northern China (2011-2022) | 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 Evaluating the Nexus of Vocational Training, Rural Renaissance, and Shared Affluence in Northern China (2011-2022) LiJing Luo, Zhi-ran Hu, Yi Peng, JIatong Dui This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7471807/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-This study aims to empirically evaluate the coupling coordination relationship among vocational education, rural revitalization, and common prosperity in Northern China (2011–2022). It seeks to quantify regional disparities, identify key influencing factors, and provide evidence-based insights for optimizing policy interventions to synchronize these three systems.Design/methodology/approach-A comprehensive evaluation index system was constructed across three dimensions: vocational education (school scale, teaching quality), rural revitalization (production capacity, eco-livability, rural civilization, affluence), and common prosperity (affluence, commonality). Provincial panel data from Northern China (Beijing, Tianjin, Hebei, Shanxi, Liaoning, Shandong) were analyzed using the entropy weight method to assign objective weights to indicators. The coupling coordination degree (CCD) model was then applied to measure dynamic interactions and coordination levels among the systems. Data were sourced from national statistical yearbooks (2011–2022).Findings - CCD showed sustained growth (average from 0.434 in 2011 to 0.643 in 2022). Significant differences persisted—Beijing (0.757) and Shandong (0.762) achieved intermediate coordinatio by 2022, while Hebei (0.513), Shanxi (0.601), and Tianjin (0.564) remained at lower levels despite rapid growth. Hebei’s CCD surged by 125% after implementing provincial vocational education policies (2014). Economic development stage, industrial structure, and educational resource allocation were primary influencing factors.Originality/value- Pioneers an integrated "vocational education–rural revitalization–common prosperity" coupling model, addressing a gap in holistic empirical research. Combines entropy weighting and CCD modeling to objectively quantify coordination trends across 12 years. Provides granular, province-level evidence for designing spatially targeted development policies, emphasizing institutional innovation and resource redistribution to bridge regional gaps. Social science/Development studies Business and commerce/Economics Social science/Economics Scientific community and society/Geography Social science/Geography Social science/Social policy Social science/Sociology Vocational education Rural revitalization Common prosperity Regional disparities 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. 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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-7471807","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":547867133,"identity":"4266535a-ae5a-426b-afad-ddf98f0bba33","order_by":0,"name":"LiJing Luo","email":"","orcid":"","institution":"Tianjin University of Technology and Education","correspondingAuthor":false,"prefix":"","firstName":"LiJing","middleName":"","lastName":"Luo","suffix":""},{"id":547867134,"identity":"fde9834e-72b7-417f-893c-221f08446b71","order_by":1,"name":"Zhi-ran 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(2011-2022) ","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":"Vocational education, Rural revitalization, Common prosperity, Regional disparities","lastPublishedDoi":"10.21203/rs.3.rs-7471807/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7471807/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Purpose-This study aims to empirically evaluate the coupling coordination relationship among vocational education, rural revitalization, and common prosperity in Northern China (2011–2022). It seeks to quantify regional disparities, identify key influencing factors, and provide evidence-based insights for optimizing policy interventions to synchronize these three systems.Design/methodology/approach-A comprehensive evaluation index system was constructed across three dimensions: vocational education (school scale, teaching quality), rural revitalization (production capacity, eco-livability, rural civilization, affluence), and common prosperity (affluence, commonality). Provincial panel data from Northern China (Beijing, Tianjin, Hebei, Shanxi, Liaoning, Shandong) were analyzed using the entropy weight method to assign objective weights to indicators. The coupling coordination degree (CCD) model was then applied to measure dynamic interactions and coordination levels among the systems. Data were sourced from national statistical yearbooks (2011–2022).Findings - CCD showed sustained growth (average from 0.434 in 2011 to 0.643 in 2022). Significant differences persisted—Beijing (0.757) and Shandong (0.762) achieved intermediate coordinatio by 2022, while Hebei (0.513), Shanxi (0.601), and Tianjin (0.564) remained at lower levels despite rapid growth. Hebei’s CCD surged by 125% after implementing provincial vocational education policies (2014). Economic development stage, industrial structure, and educational resource allocation were primary influencing factors.Originality/value- Pioneers an integrated \"vocational education–rural revitalization–common prosperity\" coupling model, addressing a gap in holistic empirical research. Combines entropy weighting and CCD modeling to objectively quantify coordination trends across 12 years. Provides granular, province-level evidence for designing spatially targeted development policies, emphasizing institutional innovation and resource redistribution to bridge regional gaps.","manuscriptTitle":"Evaluating the Nexus of Vocational Training, Rural Renaissance, and Shared Affluence in Northern China (2011-2022) ","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-24 08:02:58","doi":"10.21203/rs.3.rs-7471807/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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