Measuring Household Resilience in Hazard-Prone Mountain Areas: A Capacity-Based Approach

Jing Tan (), Li Peng () and Shili Guo ()
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Jing Tan: Southwestern University of Finance and Economics
Li Peng: Sichuan Normal University
Shili Guo: Southwestern University of Finance and Economics

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2020, vol. 152, issue 3, No 13, 1153-1176

Abstract: Abstract Assessment of the disaster resilience index (DRI) is an effective decision support tool for managing natural disasters. This study holds that disaster resilience is a dynamic process accompanied by coping capacity, adaptive capacity, and transformative capacity in different phases; therefore, we develop a three-dimensional capacity-based framework using seven indicators (including 38 subindicators) to map the multigoals for measuring resilience at the household level. Our data were acquired through questionnaire responses by 516 representative rural households in mountainous hazard-prone areas in Chongqing, China. The results reveal that more households are deemed “low resilience” and that geographical spatial differences exist in the DRI across the case regions. Several factors affecting the ability to survive, bounce back, and bounce forward from mountain hazards for rural households were found in China. The framework constructed in this paper offers a new perspective for a holistic understanding of disaster resilience.

Keywords: Disaster resilience; Rural household; Indicators; Capacity-based approach (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11205-020-02479-5

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