Measuring the degree of congestion in two-stage DEA: A case of Chinese textile, wearing apparel, and accessories industry

Measuring the degree of congestion in two-stage DEA: A case of Chinese textile, wearing apparel, and accessories industry | 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 Measuring the degree of congestion in two-stage DEA: A case of Chinese textile, wearing apparel, and accessories industry Xian-tong Ren, Yao-yao Song, Guoliang Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4133409/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 paper develops a method to identify congestion and measure the degree of congestion in two-stage data envelopment analysis (DEA). First, the congestion in the two-stage DEA is defined. Next, based on the definition, a slack-based method is proposed to identify congestion and measure the degree of congestion in the two-stage DEA. We compare our method with the congestion identification method in one-stage DEA and find that the two-stage DEA can provide more accurate congestion information than treating the production process as a black box. The method we propose is used to assess congestion in the Chinese textile, wearing apparel, and accessories industry. The empirical results show that the degree of congestion in the Chinese textile, wearing apparel, and accessories is getting worse, although it has been weakening from 2013–2014. The information can be used to support the corresponding policymaking for the managers of both government and enterprises. Data envelopment analysis Congestion Two-stage DEA Degree of congestion Chinese textile wearing apparel and accessories industry 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-4133409","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":281597346,"identity":"885e83b9-eb1a-4973-93da-c729ee566e99","order_by":0,"name":"Xian-tong Ren","email":"","orcid":"","institution":"Shandong University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xian-tong","middleName":"","lastName":"Ren","suffix":""},{"id":281597347,"identity":"dd2d25d9-4b62-4a8d-9a73-b71f24d82993","order_by":1,"name":"Yao-yao Song","email":"","orcid":"","institution":"Capital University of Economics and Business","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yao-yao","middleName":"","lastName":"Song","suffix":""},{"id":281597348,"identity":"6cfc2009-ffb9-4439-b624-56105df37016","order_by":2,"name":"Guoliang Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2klEQVRIiWNgGAWjYDACdjBpA8SMDURqYQaTaaRrOUyCu+SdeQw/F/w6L8/ff7jt0Q0GO3kG9rMH8GoxPMxjLD2z77bhjBuJ7cY5DMmGDTx5Cfi1NPMYSPP23E5guMHYJp3DwJzAIMFjQEiL8W/ennMJ8ucPgrTUE9Yiz8xjJs3z40CCwYFEkJbDhLUYMLOVWfM2JBtuBPvF4LhhG08OAVvamzff5vljJy93/vizxzkV1fL87GcI2HKAw4CBsQ3MZgNywSR+IN/A/oCB4Q9MyygYBaNgFIwCLAAAQ3Y9/Iu0JiQAAAAASUVORK5CYII=","orcid":"","institution":"Chinese Academy of Sciences","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Guoliang","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2024-03-20 01:29:34","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4133409/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4133409/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":72972038,"identity":"696bd33e-75a1-4041-9451-e466f8066665","added_by":"auto","created_at":"2025-01-04 17:31:38","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":597959,"visible":true,"origin":"","legend":"","description":"","filename":"2024Mar18MeasuringcongestioninChinese.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4133409/v1_covered_8489fe1d-a0ad-46a8-93a1-107d7feef055.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Measuring the degree of congestion in two-stage DEA: A case of Chinese textile, wearing apparel, and accessories industry","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":"Data envelopment analysis, Congestion, Two-stage DEA, Degree of congestion, Chinese textile, wearing apparel, and accessories industry","lastPublishedDoi":"10.21203/rs.3.rs-4133409/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4133409/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper develops a method to identify congestion and measure the degree of congestion in two-stage data envelopment analysis (DEA). 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