Housing Inequality by Social Groups, Gender, and Place of Residence: A District-Level Geospatial Analysis in India

Pritam Ghosh (), Debodatta Saha () and Alfredo Cartone
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Pritam Ghosh: University of Calcutta
Debodatta Saha: Bijoy Krishna Girls’ College
Alfredo Cartone: University G. D’Annunzio of Chieti Pescara

Chapter Chapter 4 in Accessible Housing for South Asia, 2022, pp 61-83 from Springer

Abstract: Abstract TheGender association of economic growth in IndiaIndia with the increase of inequalityInequality level during the past few decades is an open controversy. After 74 years of independence, about 12% of houses are still temporary (Census of IndiaIndia, in Census of India instruction manual for houselisting and housing census. Ministry of Home Affair, Government of India, https://censusindia.gov.in/2011-Documents/HouselistingEnglish.pdf ) whereas, a protected, liveable, resilient, and sustainable house is considered as one of the basic human needs. The primary aim of the study is to identify the pattern of distribution of temporary housesTemporary houses along with inequalitiesInequality between socially marginalized and non-marginalized groups, female- and male-headed householdsHousehold, and ruralRural and urban residences. The research also tries to show the distribution of spatial clusters of the neighbouring districts with a relatively larger proportion and disparity of temporary housing in these three dimensions. The inequalityInequality has been calculated as the percentage difference of temporary housing between the two categories being each dimension entirely based on the house-listing database, Census of IndiaIndia, (Census of India in Census of India instruction manual for houselisting and housing census. Ministry of Home Affair, Government of India. https://censusindia.gov.in/2011-Documents/HouselistingEnglish.pdf ). Choropleth mapping, quadrant analysis, and spatial statistics techniques (Global Moran’s I and Univariate and Bi-variate LISA) have been used for the identification of spatial clusters of districts with a higher proportion of temporary housing along with higher degree of inequalityInequality. This study reveals that the proportion of temporary housing is higher among the districts along the eastern coastal, north-eastern, central north, and the western part of the country. Consecutive clusters of 101, 94, and 90 districts are identified (P

Keywords: Temporary housing; Marginalized and Non-marginalized; Gender Difference; Rural-urban inequality; Spatial statistics; India (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-88881-7_4

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