Driving factors of scientific and technological resource mismatch in higher education institutions: evidence from China

Driving factors of scientific and technological resource mismatch in higher education institutions: evidence from 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 Driving factors of scientific and technological resource mismatch in higher education institutions: evidence from China Sichao Chen, Ji Chen, Zhiqi Li, Jingyu Tong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6920587/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 the pivotal agents of scientific and technological (S&T) innovation and primary sources of technology transfer, higher education institutions (HEIs) play a key role in the process of innovation-driven development. Based on the panel data from the 30 provinces in China from 2002 to 2022, the degree of S&T resources mismatch in HEIs is quantitatively assessed, while its influencing factors and spatial effects are systematically examined. The key findings includes: (1) There exists significant differences in resource allocation between regions, with the average of human resource mismatch being 0.067 and capital resource mismatch being − 0.151; (2) The empirical results show that economic development (-0.038), industry-university-research (IUR) cooperation (-0.291) and openness (-0.053) have a significant impact on the resources mismatch in HEIs, and these factors vary with the density of regions and "double first-class" HEIs; (3) The spatial effect analysis indicates that the mismatch of human resources and capital resources is manifested as spatial agglomeration effect and spatial diffusion effect respectively, with the corresponding spatial lag terms being 0.113 and − 0.87 respectively; (4) Policy recommendations emphasize aligning S&T resource optimization with local socioeconomic development, strengthening service systems, and accelerating technological commercialization. Social science/Education Social science/Economics Scientific and technological resource mismatch Spatiotemporal evolution Driving mechanisms Spatial effects Higher education institutions 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. 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