Research on Spatial Disparities and Obstacle Factors in the Coupling Coordination between Agricultural Digitalization and Food Security: Evidence from Panel Data of 30 Provinces in 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 Research on Spatial Disparities and Obstacle Factors in the Coupling Coordination between Agricultural Digitalization and Food Security: Evidence from Panel Data of 30 Provinces in China Qun Gao, Yawen Dou, Yuxuan Wang, Ming Zeng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7218122/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract The profound integration of agricultural digitalization and food security stands as a cornerstone strategy for achieving agricultural modernization and enhancing national food security. Based on the provincial panel data from 2010 to 2022, this study first employs the entropy method to measure the levels of agricultural digitalization and food security, and then utilizes the coupling coordination degree and relative development models to identify the coordination types and their evolutionary characteristics between the two. Subsequently, based on the Dagum Gini coefficient and Moran’s I index, this study investigates the spatial disparity features of the coupling coordination degree between agricultural digitalization and food security. Finally, the obstacle degree model is applied to identify the obstacle factors constraining the enhancement of their coupling coordination degree. The research findings are as follows: (1) During the study period, both the coupling coordination degree and the relative development level between agricultural digitalization and food security exhibited an upward trend, with notable disparities among functional zones, manifesting as “major grain-consuming areas > major grain-producing regions > the areas with balanced grain production and consumption.” (2) From the perspective of spatial dynamic disparities, the overall gap in the coupling coordination degree between agricultural digitalization and food security gradually narrowed. The gap among the three functional zones emerged as the primary source of disparity, with the coefficient of disparity showing an upward trend. From the perspective of spatial dynamic correlations, a positive spatial correlation was observed in their coupling coordination degree, yet clustering continued to diminish, with local clustering types predominantly characterized by high-value clusters and low-value clusters. (3) The primary obstacle factors influencing their coupling coordination are the application of digital technology (26.30%), digital development vitality (16.77%), resource security (16.36%), and quality security (11.83%). This study provides robust empirical evidence for understanding the synergistic enhancement mechanisms, coupling coordination levels, and exploring efficient promotion strategies for agricultural digitalization and food security. Social science/Development studies Earth and environmental sciences/Environmental social sciences Social science/Science technology and society Agricultural Digitalization Food Security Coupling Coordination Spatial Disparities Obstacle Factors Full Text Additional Declarations No competing interests reported. Supplementary Files data.xlsx Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 20 Dec, 2025 Reviews received at journal 10 Nov, 2025 Reviews received at journal 03 Nov, 2025 Reviewers agreed at journal 08 Oct, 2025 Reviews received at journal 05 Oct, 2025 Reviewers agreed at journal 28 Sep, 2025 Reviewers agreed at journal 26 Sep, 2025 Reviewers invited by journal 26 Sep, 2025 Editor assigned by journal 25 Sep, 2025 Editor invited by journal 25 Sep, 2025 Submission checks completed at journal 03 Sep, 2025 First submitted to journal 03 Sep, 2025 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-7218122","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":525487467,"identity":"22ba5a2c-316b-497a-90f9-fb3b09d54462","order_by":0,"name":"Qun Gao","email":"","orcid":"","institution":"Nanchang University","correspondingAuthor":false,"prefix":"","firstName":"Qun","middleName":"","lastName":"Gao","suffix":""},{"id":525487468,"identity":"3e27e946-3d1c-4dd5-ad44-6d3075bf613c","order_by":1,"name":"Yawen Dou","email":"","orcid":"","institution":"Nanchang 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Based on the provincial panel data from 2010 to 2022, this study first employs the entropy method to measure the levels of agricultural digitalization and food security, and then utilizes the coupling coordination degree and relative development models to identify the coordination types and their evolutionary characteristics between the two. Subsequently, based on the Dagum Gini coefficient and Moran\u0026rsquo;s \u003cem\u003eI\u003c/em\u003e index, this study investigates the spatial disparity features of the coupling coordination degree between agricultural digitalization and food security. Finally, the obstacle degree model is applied to identify the obstacle factors constraining the enhancement of their coupling coordination degree. 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