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

Author

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  • Jing Tan

    (Southwestern University of Finance and Economics)

  • Li Peng

    (Sichuan Normal University
    Sichuan Normal University)

  • Shili Guo

    (Southwestern University of Finance and Economics)

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.

Suggested Citation

  • Jing Tan & Li Peng & Shili Guo, 2020. "Measuring Household Resilience in Hazard-Prone Mountain Areas: A Capacity-Based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 1153-1176, December.
    • Handle: RePEc:spr:soinre:v:152:y:2020:i:3:d:10.1007_s11205-020-02479-5
    DOI: 10.1007/s11205-020-02479-5
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    7. Manh Hung Do, 2023. "Saving up and diversifying income for a rainy day: Implications for households' resilience strategies and poverty," TVSEP Working Papers wp-033, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
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