The spatio-temporal pattern driving factors of high-skilled talent distribution in Shandong Province and their impact on urban innovative development

The spatio-temporal pattern driving factors of high-skilled talent distribution in Shandong Province and their impact on urban innovative development | 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 The spatio-temporal pattern driving factors of high-skilled talent distribution in Shandong Province and their impact on urban innovative development Wentao Si, Hongguang LI, Yexiang Li, Quanqi Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8477243/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract Talent is the first resource to drive scientific and technological innovation, and its optimal allocation is directly related to the healthy development of the region and the effectiveness of the innovative national strategy, which is crucial to promoting the development of new quality productivity. Based on the data from the fifth, sixth and seventh national censuses of China, this paper analyzes the spatio-temporal characteristics and driving factors of the distribution of highly skilled talents in Shandong Province by using spatial statistical analysis and geographic detectors. Meanwhile, a fixed panel effect Poisson model is constructed to explore the impact of highly skilled talents on urban innovative development. The main findings are as follows: ①The scale of highly skilled talents in Shandong Province is generally on the rise, but it shows an unbalanced distribution pattern of "strong in Jiaodong region and central Shandong region, weak in southern Shandong and Northwest Shandong".②The distribution of high skilled talents in Shandong Province showed significant positive spatial autocorrelation in 2000 and 2010, but no significant local agglomeration or discrete distribution pattern in 2020; ③The aggregation of highly skilled talents in Shandong Province is the result of the joint drive of multiple factors, and there is a significant two-factor enhancing effect among the vast majority of driving factors. ④High skilled talents play a significant role in promoting urban innovation in Shandong Province, but their average marginal effect is weakening. Based on this, by integrating advanced concepts and practices from various countries, countermeasures and suggestions for optimizing the distribution pattern of high-skilled talents in Shandong Province are proposed to further promote the province's efforts to build a talent highland and achieve innovative development. Social science/Development studies Earth and environmental sciences/Environmental social sciences Scientific community and society/Geography Social science/Geography high-skilled talents spatio-temporal pattern Driving factors Innovation and development Full Text Additional Declarations No competing interests reported. Supplementary Files Originaldatavariabledefinitionscleaneddataandprocessingmethods.pdf Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 26 Mar, 2026 Reviews received at journal 12 Mar, 2026 Reviewers agreed at journal 04 Mar, 2026 Reviews received at journal 01 Mar, 2026 Reviewers agreed at journal 28 Feb, 2026 Reviewers agreed at journal 26 Feb, 2026 Reviewers invited by journal 13 Feb, 2026 Editor assigned by journal 13 Feb, 2026 Editor invited by journal 21 Jan, 2026 Submission checks completed at journal 15 Jan, 2026 First submitted to journal 15 Jan, 2026 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. 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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-8477243","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":591117101,"identity":"ff97b7bd-4b99-4512-af61-2a7f5672a598","order_by":0,"name":"Wentao Si","email":"","orcid":"","institution":"山东师范大学","correspondingAuthor":false,"prefix":"","firstName":"Wentao","middleName":"","lastName":"Si","suffix":""},{"id":591117105,"identity":"098b3b67-3267-40f0-88ea-37531cda4473","order_by":1,"name":"Hongguang 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Based on the data from the fifth, sixth and seventh national censuses of China, this paper analyzes the spatio-temporal characteristics and driving factors of the distribution of highly skilled talents in Shandong Province by using spatial statistical analysis and geographic detectors. Meanwhile, a fixed panel effect Poisson model is constructed to explore the impact of highly skilled talents on urban innovative development. 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