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Why does community-based disaster risk reduction fail to learn from local knowledge? Experiences from Malawi

  • Robert Šakić Trogrlić*
  • , Melanie Duncan
  • , Grant Wright
  • , M. van den Homberg
  • , Adebayo Adeloye
  • , Faidess Mwale
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

It is often taken as given that community-based disaster risk reduction (CBDRR) serves as a mechanism for the inclusion of local knowledge (LK) in disaster risk reduction (DRR). In this paper, through in-depth qualitative analysis of empirical data from Malawi, we investigate the extent to which CBDRR in practice really takes into account LK. This research argues that LK is underutilised in CBDRR and finds that current practice provides a limited opportunity for the inclusion of LK, due to five prime obstacles: i) current approach to community participation, ii) financial constraints and capacity of external stakeholders, iii) the donor landscape, iv) information consolidation and sharing, and v) external stakeholders attitudes towards LK. In CBDRR, a strong dichotomy between local and scientific knowledge is maintained, and further re-examination of community-based approaches in practice is needed to make them truly transformative.

Original languageEnglish
Article number103405
JournalInternational journal of disaster risk reduction
Volume83
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Community-based disaster risk reduction
  • Indigenous and local knowledge
  • Knowledge co-production
  • Participation
  • Sub-saharan Africa
  • ITC-CV

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