Coupling relationship between financial inclusion and agricultural green total factor productivity: Mechanism analysis and empirical research

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Abstract Based on the panel data of 30 provinces in China from 2006 to 2019, this paper measures the coupling coordination degree of financial inclusion and agricultural green total factor productivity (AGTFP), and uses Dagum Gini coefficient and spatial feature analysis method to study the regional difference and spatial agglomeration state of coupling coordination degree. On this basis, it further discusses the impact of the improvement of the coupling co scheduling of financial inclusion and AGTFP on the urban-rural income gap. The results show that the overall level of financial inclusion and AGTFP is low, but both show a slow upward trend, and the degree of coupling and coordination between the two continues to improve, which has developed from the very low coordination stage to the primary coordination stage. The two show the characteristics of alternating changes of the relative lag of AGTFP and the relative lag of financial inclusion. At present, the main performance is the relative lag of financial inclusion. There are great regional differences in the coupling coordination degree of financial inclusion and AGTFP, but this regional difference is gradually narrowing; And its spatial pattern presents the characteristics of global positive autocorrelation and local spatial pattern evolution. Further discussion found that the improvement of the coupling and co scheduling of financial inclusion and AGTFP is conducive to narrowing the income gap between urban and rural areas. Therefore, in order to realize the sustainable development of agriculture, it is suggested to coordinate the relationship between financial inclusion and AGTFP.
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Coupling relationship between financial inclusion and agricultural green total factor productivity: Mechanism analysis and empirical research | 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 relationship between financial inclusion and agricultural green total factor productivity: Mechanism analysis and empirical research Guibo Liu, Chenglei Liang, Xiaoxian Gong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1619063/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 Based on the panel data of 30 provinces in China from 2006 to 2019, this paper measures the coupling coordination degree of financial inclusion and agricultural green total factor productivity (AGTFP), and uses Dagum Gini coefficient and spatial feature analysis method to study the regional difference and spatial agglomeration state of coupling coordination degree. On this basis, it further discusses the impact of the improvement of the coupling co scheduling of financial inclusion and AGTFP on the urban-rural income gap. The results show that the overall level of financial inclusion and AGTFP is low, but both show a slow upward trend, and the degree of coupling and coordination between the two continues to improve, which has developed from the very low coordination stage to the primary coordination stage. The two show the characteristics of alternating changes of the relative lag of AGTFP and the relative lag of financial inclusion. At present, the main performance is the relative lag of financial inclusion. There are great regional differences in the coupling coordination degree of financial inclusion and AGTFP, but this regional difference is gradually narrowing; And its spatial pattern presents the characteristics of global positive autocorrelation and local spatial pattern evolution. Further discussion found that the improvement of the coupling and co scheduling of financial inclusion and AGTFP is conducive to narrowing the income gap between urban and rural areas. Therefore, in order to realize the sustainable development of agriculture, it is suggested to coordinate the relationship between financial inclusion and AGTFP. Financial inclusion Agricultural green total factor productivity Coupling coordination Sustainable development Regional differences Full Text 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-1619063","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":110938661,"identity":"6b884b0e-3bab-4938-a5f3-8bdb2072797e","order_by":0,"name":"Guibo Liu","email":"","orcid":"","institution":"Hunan University College of Finance and Statistics","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Guibo","middleName":"","lastName":"Liu","suffix":""},{"id":110938662,"identity":"dd88a26d-9f3e-4541-a381-8b000ec6bd8d","order_by":1,"name":"Chenglei Liang","email":"","orcid":"","institution":"Shandong University of Finance and Economics Dongfang College","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Chenglei","middleName":"","lastName":"Liang","suffix":""},{"id":110938663,"identity":"7e29d85d-20e8-4008-9e3e-8fe3de9782b8","order_by":2,"name":"Xiaoxian Gong","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYDACZhBhwMDAz9588MGHChsefvYGIrVI9hxLNpxxJk1GsucAkbYZ3MgxE+ZsOWxjcMOBgMrjzM8e8xTY5QFtSWNmbDjPw3CDgfHDxxzcWiSb2cwNZxgkFwP9cuxx4Y7bPIyzG5glZ27DrYWfmcFM4oMBc+LMnmPpxjPP3OZhljnAxsyLRwsbM/s3iQSD+sQNQL9I87ad42GTSMCvhZ+ZB2TLYZiWAzw8hLRINvOUSc4wOA5yGCiQk3kkeA424/WLwfnj26R5/lQn9kOi0s7e/njzwQ8f8WjBBhgbSFM/CkbBKBgFowADAADZqFLXgjwiOAAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0003-2735-5226","institution":"Shandong Technology and Business University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Xiaoxian","middleName":"","lastName":"Gong","suffix":""}],"badges":[],"createdAt":"2022-05-03 10:41:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1619063/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1619063/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":22365274,"identity":"0d6d71ce-c9d2-4dab-b174-dd6aa16f7ca2","added_by":"auto","created_at":"2022-06-07 16:24:30","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":545279,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1619063/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"Coupling relationship between financial inclusion and agricultural green total factor productivity: Mechanism analysis and empirical research","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-1619063/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"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":false,"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":"Financial inclusion, Agricultural green total factor productivity, Coupling coordination, Sustainable development, Regional differences","lastPublishedDoi":"10.21203/rs.3.rs-1619063/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1619063/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBased on the panel data of 30 provinces in China from 2006 to 2019, this paper measures the coupling coordination degree of financial inclusion and agricultural green total factor productivity (AGTFP), and uses Dagum Gini coefficient and spatial feature analysis method to study the regional difference and spatial agglomeration state of coupling coordination degree. 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