IRR: An Operational Risks Reduction Model for Population Resettlement

Authors

  • Michael M. Cernea

DOI:

https://doi.org/10.3126/hn.v1i0.883

Keywords:

Risk model, resettlement, displacement, impoverishment, reconstruction

Abstract

Abstract. The construction of hydropower dams and of other types of projects must plan also for the relocation of populations living in the project area, a process fraught with risks and difficulties. This paper describes an analytical, diagnostic, predictive, and planning tool for such projects, developed by the author, named the Impoverishment Risks and Reconstruction (IRR) model. Derived from knowledge and lessons of many previous projects, this model can serve as predictor of risks and problems that will be encountered in forthcoming projects, and be used as guide in applying strategies to counter, overcome or mitigate these risks. Among these are the eight basic risks of impoverishment faced during displacement and resettlement, such as: 1) Landlessness; 2) Joblessness; 3) Homelessness; 4) Marginalization; 5) Food insecurity; 6) Increased morbidity and mortality; 7) Loss of access to common property resources; and 8) Community Disarticulation. Further, the counter-risks strategies and measures are ‘modeled’, to help early risk-elimination or risk-reduction actions. The IRR Model is being used internationally. It was applied also in studies for Nepal’s Kali Gandaki project to monitor implementation and impacts, to explore what measures and management strategies can be employed against the common risks in resettlement, and to assist those affected in overcoming land or house loss and in deriving benefits from the project. Key words: Risk model, resettlement, displacement, impoverishment, reconstruction Hydro Nepal: Journal of Water, Energy and Environment Vol. I, Issue No. 1 (2007) pp. 35-39

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Published

2008-02-20

How to Cite

Cernea, M. M. (2008). IRR: An Operational Risks Reduction Model for Population Resettlement. Hydro Nepal: Journal of Water, Energy and Environment, 1, 35–39. https://doi.org/10.3126/hn.v1i0.883

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