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dc.contributor.advisorSiqi Zheng.en_US
dc.contributor.authorPalavajjhala, Rushil.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Urban Studies and Planning.en_US
dc.coverage.spatiala-ii---en_US
dc.date.accessioned2020-02-28T20:51:40Z
dc.date.available2020-02-28T20:51:40Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123934
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 126-131).en_US
dc.description.abstractThe Thesis attempts to unpack how rural residents across India make decisions to migrate to urban centers in the Ahmedabad -Mumbai corridor and analyze if those decisions are concomitant with helping them achieve their migration intents. The study uses both qualitative and quantitative methods to analyze 52 origin -- destination pairs of migration. The qualitative methods, based on 52 field interviews, help understand the nuances of how and why people migrate. In analyzing patterns here, the study also heavily references the existing literature to establish departure points for quantitative studies. Basing itself on the model that these migration decisions are a trade-off between the wage differential and the social cost of being uprooted from one's native place, it attempts to quantify the gain and see if the gains proportionately increase with increased compromises on the migrant's social ties to their native place. It relies on geo-spatial analysis and several regression models to analyze the above mentioned phenomenon and offer a nuanced understanding of where value is captured/ lost in the process of migration. Finding that housing rents significantly offset wage differentials, a key part of understanding the value capture has been achieved through an analysis of housing rental data. The data analysis includes data collected via web-scraping and the gathering of about 25,000 datapoints, as well as rental and income data from 52 field interviews of migrants -- primarily working in the informal sector. In concluding its findings and analysis, the Thesis finds that solving information asymmetry , addressing integration of migrants into urban life whilst also maintaining their social ties with their native places, and state subsidies/ policies for cost effective and flexible rental housing may be the most critical pieces to improve the socio-economic mobility of migrants. The Thesis forms a basis for an entrepreneurial venture 'Bandhu'- by the author.en_US
dc.description.statementofresponsibilityby Rushil Palavajjhala.en_US
dc.format.extent131 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectUrban Studies and Planning.en_US
dc.titleUnderstanding and quantifying value capture and the role of information in migration decisions : a case of the Ahmedabad-Mumbai Corridor, Indiaen_US
dc.title.alternativeCase of the Ahmedabad -Mumbai Corridor, Indiaen_US
dc.typeThesisen_US
dc.description.degreeM.C.P.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.identifier.oclc1140204941en_US
dc.description.collectionM.C.P. Massachusetts Institute of Technology, Department of Urban Studies and Planningen_US
dspace.imported2020-02-28T20:51:39Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentUrbStuden_US


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