Research on Low-carbon Logistics Efficiency and Spatial Correlation of Key Provinces along the Belt and Road Based on the Super-efficiency SBM Model

Research on Low-carbon Logistics Efficiency and Spatial Correlation of Key Provinces along the Belt and Road Based on the Super-efficiency SBM Model | 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 Low-carbon Logistics Efficiency and Spatial Correlation of Key Provinces along the Belt and Road Based on the Super-efficiency SBM Model Gaopeng Jiang, Haoran Lu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7247295/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 This article takes the low-carbon logistics industry in 17 provinces along the Belt and Road from 2015 to 2022 as the research object. Utilizing a super-efficiency SBM evaluation model that accounts for undesirable outputs, and after constructing an evaluation index system, a static analysis of the logistics efficiency in the key provinces is conducted. Dynamically, the Malmquist index model is employed to analyze the logistics efficiency in these provinces from the perspectives of overall productivity in logistics, shifts in technical efficiency and advancements in technological progress. Through spatial autocorrelation analysis, the spatial effects of logistics in major provinces are analyzed to obtain the trend of spatial dependence and agglomeration. The results suggest that the logistics efficiency in the major provinces is markedly altered by external environmental determinants, the size of the logistics still requires further enhancement and improvement, there is insufficient development and utilization of logistics technology, and invested resources are not effectively utilized. Finally, based on the evaluation results, strategies are proposed for how these key provinces can improve their logistics efficiency. Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Environmental social sciences Physical sciences/Mathematics and computing The Belt and Road Logistics efficiency Super efficient SBM model Spatial correlation 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. 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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-7247295","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":513340122,"identity":"0e225acd-cc54-4382-bd1f-c70cb1682799","order_by":0,"name":"Gaopeng Jiang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIiWNgGAWjYBADZjYQ+YHhAJgnQbQWxhlALTzEaoHo4yFGi7z74WMPPu6oZedjP3v4tU3NncT9DMwHb/Mw2OXh0mJ4Ji3dcOaZ48xsPHlp1jnHniX2MLAlW/MwJBfj1NKQYybN23YM6JccM+MctsNALTxm0kAXJjbg0tL/xkz6L0gL/xszY4t/IC383/BqkZcA2sLYVsPMJpFj/JixDWwLG14tBhLP0g172w4AtbwxY+ztO2zcc5jN2HKOQTJuW/qTjz342VaXLN+fY/zhx7fDsu3tzQ9vvKmww23LAQZQJB5OBhJskOhgBovjUA+ypQGspc4OpPYDbnWjYBSMglEwkgEAOOVVCSNUT4oAAAAASUVORK5CYII=","orcid":"","institution":"Anhui University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Gaopeng","middleName":"","lastName":"Jiang","suffix":""},{"id":513340123,"identity":"fe65ee47-e447-4f3a-b36d-9e26e4438516","order_by":1,"name":"Haoran Lu","email":"","orcid":"","institution":"Anhui University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Haoran","middleName":"","lastName":"Lu","suffix":""}],"badges":[],"createdAt":"2025-07-30 01:23:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7247295/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7247295/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104781506,"identity":"da7d9914-5acb-4127-89d1-6a7b5df0a14b","added_by":"auto","created_at":"2026-03-17 07:55:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":624186,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscripr.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7247295/v1_covered_552f20e4-993b-4eb3-b156-3873368496db.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Low-carbon Logistics Efficiency and Spatial Correlation of Key Provinces along the Belt and Road Based on the Super-efficiency SBM Model","fulltext":[],"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":true,"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":"The Belt and Road, Logistics efficiency, Super efficient SBM model, Spatial correlation","lastPublishedDoi":"10.21203/rs.3.rs-7247295/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7247295/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis article takes the low-carbon logistics industry in 17 provinces along the Belt and Road from 2015 to 2022 as the research object. 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