Coupling coordination degree pattern and influencing factors of digital economy and agricultural ecological resilience: 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 Research Article Coupling coordination degree pattern and influencing factors of digital economy and agricultural ecological resilience: Evidence from China Yufei Wang, Zhengpeng Wang, Bo Xia, Zhenshuang Wang, Ning Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8014159/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 The synergistic improvement of digital economy (DE) and agricultural ecosystem resilience (AER) was important for achieving sustainable agricultural development. This study analyzed the coupling coordination degree (CCD) between the DE and AER from 2012 to 2022 using CCD model, to reveal the spatiotemporal evolution pattern and predict the trajectory of future CCD, as well as explore the driving factors, based on the measurement of DE and AER. The results concluded that, from 2012 to 2022, the CCD between DE and AER had shown an overall increasing trend, increasing from 0.400 to 0.658, with a growth rate of 55%. Most provinces had achieved a level leap. The CCD between DE and AER had significant spatial agglomeration characteristics, showing a distribution pattern of “high in the east and low in the west, high in the north and low in the south”, with an increase in hotspot areas and significant regional differences. There was a clear path dependence and spatial club convergence phenomenon in the CCD. The level of policy support and modernization were the core driving forces for promoting the coordinated development of the two systems, and there was significant interaction effect between the factors. The findings provided insights for optimizing agricultural land spatial planning and theoretical support for sustainable agricultural development. digital economy (DE) agricultural ecological resilience (AER) coupling coordination degree (CCD) spatial heterogeneity evolution driving factors 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-8014159","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":538868053,"identity":"64ffbef2-ec28-4bde-8cfa-4742563340b2","order_by":0,"name":"Yufei Wang","email":"","orcid":"","institution":"Dongbei University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Yufei","middleName":"","lastName":"Wang","suffix":""},{"id":538868054,"identity":"2a414a89-8239-4db7-b9af-a0a932b538b5","order_by":1,"name":"Zhengpeng Wang","email":"","orcid":"","institution":"Dongbei University of Finance and 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