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Vulnerability, Resilience and Exposure: Methodological Aspects

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Advances in Spatial and Economic Modeling of Disaster Impacts

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Abstract

The economic recession which followed the 2008 financial crisis has raised important issues on differences in the impact, especially from a spatial perspective, of the socio-economic shocks—at both the regional and the community level, especially in the European Union Member States. These differences may be due to the different levels of vulnerability, resilience and exposure, and may arise because of dissimilarities in the intrinsic characteristics of regions or communities (e.g. the pre-crisis economic characteristics of regions, ageing, household income, and so on). While, in the scientific literature, a great deal of attention has been paid to the concept of resilience (e.g. the capacity to bounce back or to resist a given shock) and vulnerability (e.g. the inherent characteristics that create the potential for harm), less attention has been paid to the full set of measures of socio-economic exposure (e.g. the things affected by a shock), as well as to both the relationship between vulnerability, resilience and exposure and the losses which ensue as a result of different external shocks and exposure.

The objective of this chapter is the exploration of the above-mentioned links, since a closer analysis of these complex interrelations might produce different outcomes. This study aims to review systematically the existing literature on vulnerability, resilience and exposure, in order to understand the connections between these concepts, with reference not only to economic shocks but also to other catastrophic events, such as natural disasters, man-made disasters, and so on.

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Notes

  1. 1.

    Context includes features such as scale, as for example the micro (individual business), meso (sector or market) or macro (entire economy or system) levels.

  2. 2.

    Inherent resilience pertains to resilience that is already ingrained in the system, while adaptive resilience pertains to improvisations in reaction to the shock. Rose (2007, 2017) emphasizes that resilience is actually a process, whereby resilience capacity can be enhanced prior to the shock (e.g., stockpiling critical materials, purchasing backup electricity generators lining up alternative suppliers, making the system more flexible in general), though most of the enhanced capacity is not applied until after the disaster strikes.

  3. 3.

    This is often referred to as ‘robustness’.

  4. 4.

    We note that ecologists overlap their definition of recovery sometimes with the concept of adapting; however, for explanatory reasons we prefer to separate the two concepts.

  5. 5.

    We thank one of the editors for this noteworthy suggestion.

  6. 6.

    This outcome arises because our identification strategy is based on reviewing primarily economics journals (see for instance, Kajitani and Tatano 2009 and Wein and Rose 2011). It should be noted that, in this phase of the analysis, we did not consider papers written by economists and social scientists in ‘hazards’ journals (see e.g. Rose 2017 and Rose et al. 2016).

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Acknowledgment

The authors wish to thank two anonymous referees, as well as the editors, for the valuable comments.

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Appendices

Annex 1

Table 12.3 Papers analysed for the vulnerability review

Annex 2

Table 12.4 Papers analysed for the resilience review

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Modica, M., Reggiani, A., Nijkamp, P. (2019). Vulnerability, Resilience and Exposure: Methodological Aspects. In: Okuyama, Y., Rose, A. (eds) Advances in Spatial and Economic Modeling of Disaster Impacts. Advances in Spatial Science. Springer, Cham. https://doi.org/10.1007/978-3-030-16237-5_12

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