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dc.contributor.advisorYossi Sheffi.en_US
dc.contributor.authorRivera Virgüez, Myriam Lilianaen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2014-09-19T21:43:26Z
dc.date.available2014-09-19T21:43:26Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/90162
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Engineering Systems Division, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 119-129).en_US
dc.description.abstractGovernments around the world are investing significant resources in the development and expansion of logistics clusters. This dissertation analyzes the cluster phenomenon focusing on four topics. First, it develops a methodology to identify clusters and applies it to the context of the US. By analyzing the case of logistics clusters, this thesis contributes to a more general debate in the industrial clusters literature: while many authors see industrial clusters growing, others see them dispersing. Evidence of increasing concentration of the logistics industry in clusters in the US over time is tested and documented. In addition, some evidence that logistics activities in counties inside clusters show higher growth than in counties outside clusters is found. Second, this thesis studies the relationship between freight accessibility and logistics employment in the US. It develops an accessibility measure based on a gravity model, focusing on four different modes of transportation: road, rail, air, and maritime. Using a Partial Least Squares model, these four different freight accessibility measures are combined into two constructs, continental and intercontinental freight accessibility, and then analyzed against logistics employment. Results show that highly accessible counties attract more logistics employment than other counties. The analyses also show that it is important to control for the effect of population, since it explains the most variation in the logistics employment across counties. Third, this dissertation also analyzes the benefits of logistics clusters, possibly explaining their continuous growth and wide popularity among both private agents and policy makers during the last decade. Using interview data and grounded theory, four major driving forces that may explain their growing presence are identified: collaboration, value added services, upward mobility and job creation at different levels. Finally, using a quantitative approach this thesis analyzes two major effects of agglomeration on firms located within logistics clusters: more collaboration and the provision of more value added services. Using survey data and structural equation modeling these hypotheses are tested using information from the Zaragoza (Spain) Logistics Cluster. The results show that companies located in logistics clusters do collaborate more and offer more value added services than companies that are not agglomerated.en_US
dc.description.statementofresponsibilityby Liliana Rivera.en_US
dc.format.extent129 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titleLogistics clusters : prevalence and impacten_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc890198903en_US


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