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dc.contributor.advisorYu Hung Hong.en_US
dc.contributor.authorSun, Linyunen_US
dc.contributor.otherMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.coverage.spatiala-cc---en_US
dc.date.accessioned2012-01-11T20:17:07Z
dc.date.available2012-01-11T20:17:07Z
dc.date.copyright2011en_US
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/68175
dc.descriptionThesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2011.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.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 82-85).en_US
dc.description.abstractIn 1998, the Chinese government abandoned the danwei ("work-unit") housing allocation system and fully privatized the housing market. Since then, the residential price has never stopped increasing despite the past financial crisis worldwide. In April 2011, statistics show that the average sales price of new residential apartments in 10 major metropolitan cities of China has reached RMB 15,802 per square meter (approximately USD 226 per square feet). In Shanghai, the price is about RMB 26,356 per square meter (above USD 376 per square feet), much higher than that in many big cities in developed countries. More and more Chinese urban dwellers, especially those who earn low salaries and live in metropolitan areas such as Shanghai are challenged by escalating housing prices. Each year the central government introduced several housing policies in order to solve the nationwide housing affordability problem. Recently, Chinese Premier announced that China aims to build 36 million affordable housing units by 2015. Despite severe housing affordability problems in Shanghai, the municipality has been lagging behind many other cities or provinces in terms of affordable housing programs. Last year, the municipal government finally started to experiment with affordable housing programs in selected districts. This thesis serves as a starting point to discuss the effectiveness of affordable housing programs in Shanghai by using five major criteria, -- provide and expand the supply of good-quality housing units; -- make housing more affordable and readily available; -- promote economic diversity in residential neighborhood; -- help households build wealth; and -- promote balanced metropolitan growth. According to the preliminary observation and assessment, the newly released affordable housing programs in Shanghai has been effective by incorporating both supply and demand approaches and successfully targeting at extremely low income group. Despite the achievements, there is still some room for further improvement. Hopefully, by introducing more varieties of housing programs such as inclusionary housing, the Shanghai Affordable Housing Programs will benefit more households in the coming years.en_US
dc.description.statementofresponsibilityby Linyun Sun.en_US
dc.format.extent85 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.subjectCenter for Real Estate. Program in Real Estate Development.en_US
dc.titleIn search of an affordable housing system for Shanghai, Chinaen_US
dc.typeThesisen_US
dc.description.degreeS.M.in Real Estate Developmenten_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate
dc.identifier.oclc770082185en_US


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