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

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  • Ravindran, Latha
  • Kumar, Rahul

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.

Suggested Citation

  • Ravindran, Latha & Kumar, Rahul, 2019. "Development induced displacement: A data mining approach towards vulnerability and impoverishment risks," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 9(2), pages 249-290.
    • Handle: RePEc:gok:ijdcv1:v:9:y:2019:i:2:p:249-290
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    References listed on IDEAS

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    1. Cernea, Michael, 1997. "The risks and reconstruction model for resettling displaced populations," World Development, Elsevier, vol. 25(10), pages 1569-1587, October.
    2. Sean-Shong Hwang & Yue Cao & Juan Xi, 2011. "The Short-Term Impact of Involuntary Migration in China’s Three Gorges: A Prospective Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(1), pages 73-92, March.
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    More about this item

    Keywords

    Development-induced Displacement; Data mining; Cluster Analysis; Vulnerability; Impoverishment.;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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