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dc.contributor.advisorWilliam Shutkin.en_US
dc.contributor.authorBradshaw, William B., IIen_US
dc.contributor.otherMassachusetts Institute of Technology. Center for Real Estate.en_US
dc.date.accessioned2010-09-22T16:06:08Z
dc.date.available2010-09-22T16:06:08Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/58665
dc.descriptionThesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning; and, (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, Center for Real Estate, 2006.en_US
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.descriptionIncludes bibliographical references (p. 79-83).en_US
dc.description.abstractGreen development has received much attention over the past decade, with the greatest interest coming from designers. However, the development and investment communities have been slower to adopt green principles, and the author claims that this hesitancy is related to an information gap around the costs and benefits of green building. When researchers do quantify cost or value differentials, they do it on a case study basis. By focusing on a few extraordinary examples that are ultimately placeless, these case studies create an information gap between the extraordinary performance of a few buildings (what is possible) and the ordinary performance of a typical green building (what is expected). Through the development of a simple real estate market model, the author argues that information on what is expected drives decision making in real estate, and market-based studies that are segmented by place and product type would provide more pertinent information to these industry players. If green buildings create greater value over a building's lifecycle, then green building owners should expect superior returns over time. However, no one has tested this hypothesis for a particular real estate market with a large number of green buildings. To that end, the author develops a methodology that could be used to complete such a study.en_US
dc.description.abstractThis methodology is then tested on the market for green single-family homes in the Austin, Texas metro area. The author finds that homes rated as green by the Austin Green Building Program sell at a 9-10% price premium over unrated homes (further research by the author has shown that this premium is likely related to a spatial concentration of green homes in high cost areas and not due to the green rating).en_US
dc.description.statementofresponsibilityby William B. Bradshaw, II.en_US
dc.format.extent94 p.en_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.subjectUrban Studies and Planning.en_US
dc.subjectCenter for Real Estate.en_US
dc.titleBuying greenen_US
dc.typeThesisen_US
dc.description.degreeS.M.in Real Estate Developmenten_US
dc.description.degreeM.C.P.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estateen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.oclc70852330en_US


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