A Community Disaster Resilience Index for Chile

Nicolás C. Bronfman (), Javiera V. Castañeda, Nikole F. Guerrero, Pamela Cisternas, Paula B. Repetto, Carolina Martínez and Alondra Chamorro
Additional contact information
Nicolás C. Bronfman: National Research Center for Integrated Disaster Risk Management, ANID/FONDAP/1522A0005, Santiago (CIGIDEN), Santiago 1030000, Chile
Javiera V. Castañeda: National Research Center for Integrated Disaster Risk Management, ANID/FONDAP/1522A0005, Santiago (CIGIDEN), Santiago 1030000, Chile
Nikole F. Guerrero: National Research Center for Integrated Disaster Risk Management, ANID/FONDAP/1522A0005, Santiago (CIGIDEN), Santiago 1030000, Chile
Pamela Cisternas: National Research Center for Integrated Disaster Risk Management, ANID/FONDAP/1522A0005, Santiago (CIGIDEN), Santiago 1030000, Chile
Paula B. Repetto: National Research Center for Integrated Disaster Risk Management, ANID/FONDAP/1522A0005, Santiago (CIGIDEN), Santiago 1030000, Chile
Carolina Martínez: National Research Center for Integrated Disaster Risk Management, ANID/FONDAP/1522A0005, Santiago (CIGIDEN), Santiago 1030000, Chile
Alondra Chamorro: National Research Center for Integrated Disaster Risk Management, ANID/FONDAP/1522A0005, Santiago (CIGIDEN), Santiago 1030000, Chile

Sustainability, 2023, vol. 15, issue 8, 1-24

Abstract: Although Chile is one of the countries most exposed to natural hazards, to date there is no national index that shows the differences in resilience levels within the country. This study develops a community resilience index on a national scale based on the Baseline Resilience Community (BRIC) index. The BRIC index for Chile was built with 49 indicators, from different sources at the district level. Our results determined that resilience is not distributed homogeneously throughout the country. The highest levels of resilience are concentrated in the central macro-zone. In comparison, the extreme zones of Chile focus close to 90% of their population in the lowest levels, accounting for an uneven distribution of resources and services that impact resilience levels. These differences were mainly explained by indicators such as the percentage of the population without a health insurance system, the percentage of the population without internet access, and the percentage of electoral participation, among others. The results demonstrate that the BRIC model can be successfully implemented to assess community resilience in Chile and suggests the possibility of targeting resources and strategies to increase resilience in areas with the lowest levels of community resilience.

Keywords: resilience; community; BRIC; Chile (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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