Investigating the impact of the transport system on the regional performance: Empirical evidence from Tunisian cities

Investigating the impact of the transport system on the regional performance: Empirical evidence from Tunisian cities | 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 Investigating the impact of the transport system on the regional performance: Empirical evidence from Tunisian cities Imen Ghannouchi, Foued Aloulou, Asma Farhat This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2121850/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 study aims to estimate the performance level of 24 Tunisian cities using the DEA method from 2008 to 2016. the scores were then regressed in a set of transport related factors to assess the impact of transport infrastructure on the variation of efficiency scores between the 24 cities and to interpret its contribution to their performance. Furthermore, we used multiple metrics of Total Factor Productivity (TFP) and applied \(\beta\) and \(\sigma\) convergence/divergence of productivity to detect the sense of its evolution between cities. The key findings reveal the following: (i) The majority of regions have efficiency level ranging from 50–80%. (ii) The results of the second stage reveal the motorization rate has a negative impact on efficiency because it represents a source of traffic congestion when the number of vehicles exceeds the road capacity. The population density is negatively correlated with efficiency since regions with high population density are more charged and involve more traffic problem than those with weak density. (iii) The \(\beta\) and \(\sigma\) convergence/divergence tests show that there is a convergence of TFP in the sense that the lower productive cities have a faster tendency to be more productive than the higher ones. Technical efficiency Total Factor of Productivity DEA Tobit regression Bootstrap approach β and σ convergence/divergence tests 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-2121850","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":144583831,"identity":"0564485b-5bc8-445e-965c-514ab3f03680","order_by":0,"name":"Imen Ghannouchi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEElEQVRIiWNgGAWjYBACNhDB2ADhMDMY2Mjxg1gJBcRrSTOWBHESDAhYhdDCcDhxwwEQE48WPrHDxx5+3WGXZ87eY/i5oOAw4+bzqxM/PDBgkOcXO4DdYdJp6cayZ5KLLXvOGEvPMEhnNrvxdrME0GGGM2cn4NCSYyYt2cacuOFGjhkzj4E1m9mNsxtAWhIMbuPSkv8NqKUepoWZx3jG2c0/8GvJYZP82HYYpsVZwoC/dxsBW9LMpBnbjiduOHOsWJrHIM1A4gbvNosEAwmcfpGfnfxM8mdbdeKG480bP/P8sanv7z+7+eaPCht5fmnsWkCAmQeFKwFWKYFTOQgw/kDh8h/Aq3oUjIJRMApGHgAAOV1cGghDvIcAAAAASUVORK5CYII=","orcid":"","institution":"University of Sousse Faculty of Economic Sciences and Management of Sousse: Universite de Sousse Faculte des Sciences Economiques et de Gestion de Sousse","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Imen","middleName":"","lastName":"Ghannouchi","suffix":""},{"id":144583832,"identity":"463a1561-bf8c-419a-92b3-64a3e28af004","order_by":1,"name":"Foued Aloulou","email":"","orcid":"","institution":"University of Sousse Faculty of Economic Sciences and Management of Sousse: Universite de Sousse Faculte des Sciences Economiques et de Gestion de Sousse","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Foued","middleName":"","lastName":"Aloulou","suffix":""},{"id":144583833,"identity":"7a149807-6571-4e26-804f-cd1d3bba501c","order_by":2,"name":"Asma Farhat","email":"","orcid":"","institution":"University of Sousse Faculty of Economic Sciences and Management of Sousse: Universite de Sousse Faculte des Sciences Economiques et de Gestion de Sousse","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Asma","middleName":"","lastName":"Farhat","suffix":""}],"badges":[],"createdAt":"2022-09-30 20:46:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2121850/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2121850/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":28000959,"identity":"87d9624f-a956-4a1b-9b38-c85be9c34d43","added_by":"auto","created_at":"2022-10-19 16:08:29","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":450379,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptfsegsoCopie.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2121850/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"Investigating the impact of the transport system on the regional performance: Empirical evidence from Tunisian cities","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-2121850/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":true,"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":"Technical efficiency, Total Factor of Productivity, DEA, Tobit regression, Bootstrap approach, β and σ convergence/divergence tests","lastPublishedDoi":"10.21203/rs.3.rs-2121850/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2121850/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study aims to estimate the performance level of 24 Tunisian cities using the DEA method from 2008 to 2016. the scores were then regressed in a set of transport related factors to assess the impact of transport infrastructure on the variation of efficiency scores between the 24 cities and to interpret its contribution to their performance. Furthermore, we used multiple metrics of Total Factor Productivity (TFP) and applied \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\beta\\)\u003c/span\u003e\u003c/span\u003e and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\sigma\\)\u003c/span\u003e\u003c/span\u003e convergence/divergence of productivity to detect the sense of its evolution between cities. The key findings reveal the following: (i) The majority of regions have efficiency level ranging from 50\u0026ndash;80%. (ii) The results of the second stage reveal the motorization rate has a negative impact on efficiency because it represents a source of traffic congestion when the number of vehicles exceeds the road capacity. The population density is negatively correlated with efficiency since regions with high population density are more charged and involve more traffic problem than those with weak density. (iii) The \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\beta\\)\u003c/span\u003e\u003c/span\u003e and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\sigma\\)\u003c/span\u003e\u003c/span\u003e convergence/divergence tests show that there is a convergence of TFP in the sense that the lower productive cities have a faster tendency to be more productive than the higher ones.\u003c/p\u003e","manuscriptTitle":"Investigating the impact of the transport system on the regional performance: Empirical evidence from Tunisian cities","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-10-19 16:08:20","doi":"10.21203/rs.3.rs-2121850/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"5e69057c-85a2-494b-9179-2c572c1ebcad","owner":[],"postedDate":"October 19th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-06-04T08:09:10+00:00","versionOfRecord":[],"versionCreatedAt":"2022-10-19 16:08:20","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-2121850","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-2121850","identity":"rs-2121850","version":["v1"]},"buildId":"ApUGefWb6u5IBVtyqm6d5","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}