MAPPING LIVELIHOOD VULNERABILITY IN SLUM HOUSEHOLDS: A GENDER PERSPECTIVE ANALYSIS

S. SINGH¹*, M. AWAIS², B.S. RAGHAV^3
1ICAR- National Institute of Agricultural Economics and Policy Research, Pusa, New Delhi, 110012, Delhi, India
²ICAR- National Institute of Agricultural Economics and Policy Research, Pusa, New Delhi, 110012, Delhi, India
³ICAR- National Institute of Agricultural Economics and Policy Research, Pusa, New Delhi, 110012, Delhi, India
* Corresponding Author : surendra.singh735@gmail.com

Received : 31-12-2019     Accepted : 13-01-2020     Published : 15-01-2020
Volume : 12     Issue : 1       Pages : 9394 - 9397
Int J Agr Sci 12.1 (2020):9394-9397

Keywords : Livelihood vulnerability, Indicator approach, Gender, GIS, Slums
Academic Editor : Dr Amit Kumar, Yadav V
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to ICAR- National Institute of Agricultural Economics and Policy Research, Pusa, New Delhi, 110012, Delhi, India
Author Contribution : All authors equally contributed

Climate change remains a major development challenge for cities in the developing world due to their limited capacity to prepare for and to cope with its implications. It is recognized that the impact of this phenomenon will be distributed differently among regions, ages, and income groups. This study attempts to examine the livelihood vulnerability status of slum households from a gender perspective. Further, the study also tries to identify the main factors that are responsible for a higher degree of livelihood vulnerability at the district as well as the national level. The study uses household-level data of the 69th NSSO round and indicator approach. The findings suggest that female-headed households are highly vulnerable in many districts of states, viz., Uttar Pradesh, Assam, Bihar, Madhya Pradesh, Maharashtra, Orissa, and West Bengal. Seven indicators have major influence over livelihood vulnerability like, slum located in a fringe area, unserviceable Katcha house, Katcha road in the slum premises, Katcha approach road, untreated water for drinking, no facility of garbage collection, and distance of more than 5 km of a government hospital. The results provide useful guidelines for identifying region-specific vulnerable hotspots that need policy intervention in strengthening and securing livelihoods.

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