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Examining Homeownership Bias in Indian Housing Policy Using Frame Analysis

Bibliographic Data

ID20404651
AuthorsManav Khaire (0000-0001-6831-686X, Centre for Policy Studies, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India., corresponding author), Shishir Kumar Jha (0000-0002-5122-080X, Centre for Policy Studies, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.)
Year2022
Volume13
Issue1
Pages113-125
Publication date2022-03-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Urbanization Asia (JOURNAL)
Journal identifiersISSN: 0975-4253 • E-ISSN: 0976-3546
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/09754253221079527
OpenAlexW4220687787
LanguageEN
Citations received1
References cited23

Literature examining Indian housing policy broadly focuses on the shifting role of the state from a provider of housing to a facilitator of housing markets. Using frame analysis method, this article explores the underlying policy frames responsible for this shift and the factors influencing the homeownership bias in Indian housing policy. The analysis moves forward in two steps: First, we present the policy frames analysis method and describe the data sources used for analysis. Second, we identify the policy frames and discuss their linkages to homeownership bias in Indian housing policy. We identify four policy frames over the years: housing as an unproductive activity, housing as an economic activity, housing as a market good and housing as a commodity. We conclude by highlighting that market-based housing policies work in favour of perpetuating homeownership bias, which, in turn, arrests the development of alternatives like rental housing and cooperative housing

Affordable housing · Business · Economic growth · Economics · Facilitator · Housing First · Policy analysis · Political science · Public economics · Rental housing · Renting · Urban planning · Urban policy · Housing Market and Economics · Housing, Finance, and Neoliberalism · Urban and Rural Development Challenges

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Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

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