Development induced displacement: A data mining approach towards vulnerability and impoverishment risks

Latha Ravindran and Rahul Kumar

International Journal of Development and Conflict, 2019, vol. 9, issue 2, 249-290

Abstract: Domain of development-induced displacement assumes that vulnerable communities are further impoverished due to acquisition of lands and does not distinguish pre-existing vulnerability of households from their vulnerability to land-acquisition. While all households are vulnerable to land-acquisition and suffer impoverishment risks, the intensities of impoverishment as well as vulnerability vary with households. This study attempts to fill the void in literature, by adopting a first-of-its-kind approach to categorize intensities of vulnerability and impoverishment risks of each household, by applying data-mining methods such as cluster analysis. Census-based base-line socio-economic surveys were carried out among 3574 families from whom lands were acquired for four thermal power projects in Odisha, India. The finding confirms a statistically significant inverse relationship between vulnerability and impoverishment risks.Findings of this study can be useful for the policy makers and project proponents to follow a targeted approach while planning for Resettlement and Rehabilitation.

Keywords: Development-induced Displacement; Data mining; Cluster Analysis; Vulnerability; Impoverishment. (search for similar items in EconPapers)
JEL-codes: C12 C38 O10 O15 (search for similar items in EconPapers)
Date: 2019
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