Economic resilience: definition and measurement
By Stéphane Hallegatte. 2014
229 citations recorded by the source corpus.
The welfare impact of a disaster does not only depend on the physical characteristics of the event or its direct impacts in terms of lost lives and assets. Welfare impacts also depend on the ability of the economy to cope, recover, and reconstruct and therefore to minimize aggregate consumption losses. This ability can be referred to as the macroeconomic resilience to natural disasters. Macroeconomic resilience has two components: instantaneous resilience, which is the ability to limit the magnitude of immediate production losses for a given amount of asset losses, and dynamic resilience, which is the ability to reconstruct and recover. Welfare impacts also depend on micro-economic resilience, which depends on the distribution of losses; on households' vulnerability, such as their pre-disaster income and ability to smooth shocks over time with savings, borrowing, and insurance, and on the social protection system, or the mechanisms for sharing risks across the population. The (economic) welfare disaster risk in a country can be reduced by reducing the exposure or vulnerability of people and assets (reducing asset losses), increasing macroeconomic resilience (reducing aggregate consumption losses for a given level of asset losses), or increasing microeconomic resilience (reducing welfare losses for a given level of aggregate consumption losses). The paper proposes rules of thumb to estimate macroeconomic and microeconomic resilience based on the relevant parameters in the economy. It also provides a toolbox of policies to increase macro- or micro-economic resilience and a list of indicators that can be used to build a resilience indicator.
Subfields: Civil and Structural Engineering, Sociology and Political Science, Soil Science
View Paper: https://www.semanticscholar.org/paper/628363f7a35cf0b9fdee0caa8e7fed8b7840df50
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In Civil and Structural Engineering
In Sociology and Political Science
- Rio Yonson
- Ilan Noy
- S. Hochrainer
- Thomas K. J. McDermott
- Makena Coffman
- Stéphane Hallegatte
- Tam Bang Vu
- Sam Fankhauser
In Soil Science
- Rio Yonson
- Ilan Noy
- S. Hochrainer
- Thomas K. J. McDermott
- Makena Coffman
- Tam Bang Vu
- Sam Fankhauser
- J. Gröschl
Citations in the corpus
- Economic Vulnerability and Resilience to Natural Hazards: A Survey of Concepts and Measurements (2018, background): “Other useful frameworks for a macro–micro analysis include computable general equilibrium methods (as in Rose [43]), partial equilibrium analysis (such as Hallegatte, et al. [75]), and other mathematical algorithms.”