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Infrastructure provision, gender, and poverty in Indian slums

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posted on 2016-11-03, 09:12 authored by Priti Parikh, Kun FuKun Fu, Himanshu Parikh, Allan McRobie, Gerard George
We examine the relationship between infrastructure provision and poverty alleviation by analyzing 500 interviews conducted in serviced and non-serviced slums in India. Using a mixed-method approach of qualitative analysis and regression modeling, we find that infrastructure was associated with a 66% increase in education among females. Service provision increased literacy by 62%, enhanced income by 36%, and reduced health costs by 26%. Evidence suggests that a gender-sensitive consideration of infrastructure is necessary and that a ‘one-size-fits-all’ approach will not suffice. We provide evidence that infrastructure investment is critical for well-being of slum dwellers and women in particular.

Funding

Priti Parikh would like to thank Newnham College, Cambridge and the UK Engineering and Physical Sciences Research Council for funding her doctorate which forms the basis of this paper. Gerry George gratefully acknowledges the support of the Professorial Fellowship of the UK’s Economic and Social Research Council (RES-051-27-0321).

History

School

  • Loughborough University London

Published in

World Development

Volume

66

Pages

468 - 486

Citation

PARIKH, P. ... et al, 2014. Infrastructure provision, gender, and poverty in Indian slums. World Development, 66, pp. 468-486.

Publisher

© Elsevier

Version

  • SMUR (Submitted Manuscript Under Review)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

This paper was accepted for publication in the journal World Development and the definitive published version is available at http://dx.doi.org/10.1016/j.worlddev.2014.09.014.

ISSN

0305-750X

Language

  • en

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