Urbanisation and Slum Growth: Evidence from India
Type
journal article
Date Issued
2020-07-31
Author(s)
Gupta, Neha
Abstract (De)
Slums are an integral part of urban spaces in India. Using state
level nighttime light intensity as a measure of urbanization I empirically
evaluate the impact of urbanization on slum growth from 1993
to 2012. In the process, I also exploit a large scale ’big-push’ national
policy reform in India between 2005 and 2012 to further examine if
such a policy was efficient in curbing the slum growth. Combining
a novel pooled cross-sectional household survey data and nighttime
lights activity at state level, I find the likelihood of being a slum
household is 14.2 percentage points more in states lying within the
third quartile of nighttime light intensity. After the introduction of
the policy the likelihood decreases for all quartiles, where the effect for
the 3rd quartile is reduced by 3.9 percentage points. The results are
preliminary and highlights the role of underlying social phenomenon
linked to migration and middle tier urbanized spaces.
level nighttime light intensity as a measure of urbanization I empirically
evaluate the impact of urbanization on slum growth from 1993
to 2012. In the process, I also exploit a large scale ’big-push’ national
policy reform in India between 2005 and 2012 to further examine if
such a policy was efficient in curbing the slum growth. Combining
a novel pooled cross-sectional household survey data and nighttime
lights activity at state level, I find the likelihood of being a slum
household is 14.2 percentage points more in states lying within the
third quartile of nighttime light intensity. After the introduction of
the policy the likelihood decreases for all quartiles, where the effect for
the 3rd quartile is reduced by 3.9 percentage points. The results are
preliminary and highlights the role of underlying social phenomenon
linked to migration and middle tier urbanized spaces.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SEPS - Quantitative Economic Methods
Refereed
No
Eprints ID
263619
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