Kees van der Geest. Landslide Loss and Damage in Sindhupalchok District, Nepal: Comparing Income Groups with Implications for Compensation and Relief[J]. International Journal of Disaster Risk Science, 2018, 9(2): 157-166. doi: 10.1007/s13753-018-0178-5
Citation: Kees van der Geest. Landslide Loss and Damage in Sindhupalchok District, Nepal: Comparing Income Groups with Implications for Compensation and Relief[J]. International Journal of Disaster Risk Science, 2018, 9(2): 157-166. doi: 10.1007/s13753-018-0178-5

Landslide Loss and Damage in Sindhupalchok District, Nepal: Comparing Income Groups with Implications for Compensation and Relief

doi: 10.1007/s13753-018-0178-5
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The authors wish to thank the Asia–Pacific Network for Global Change Research (APN) for funding the fieldwork of this study. Acknowledgements also go to the Integrated Development Society (IDS) in Nepal for organizing fieldwork logistics. The field team consisted of Sunita Bhattarai, Keshav Paudel, Anjan Kumar Phoju, Ranjita Thapa, Sangita Pokhrel, Ram Krishna Kunwar, Bal Bahadur Gurung, and Maria Kibta. At the United Nations University Institute for Environment and Human Security (UNU-EHS) Markus Schindler supported with data analysis. This article also greatly benefitted from the comments of two anonymous reviewers.

  • Available Online: 2021-04-26
  • The 2014 Jure landslide in Sindhupalchok District, Nepal, caused significant loss and damage to ecosystems and livelihoods in the area. In the direct aftermath of the landslide, several disaster loss assessments were conducted, with the aim of counting casualties, injured people, and damaged houses and infrastructure. Although useful and necessary in their own right, such rapid assessments do not reveal the true extent and significance of the losses and damages that people in disaster areas face, including their monetary value. We address this gap, based on a comprehensive household survey (N=234), as well as other, qualitative research tools. Our results highlight the importance of differentiating between loss and damage in absolute monetary terms as opposed to losses relative to annual income. We find a stark contrast between the high absolute losses incurred by nonpoor households, and the high relative losses—up to 14 times their annual income—experienced by poor households. These results have important implications for policy that addresses loss and damage, not only of landslides but also of other disasters. Loss and damage assessments need to take the livelihood characteristics of affected households into account to identify and support those most in need of compensation and relief.
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