2019
DOI: 10.1016/j.jhydrol.2019.124204
|View full text |Cite
|
Sign up to set email alerts
|

Flood footprint assessment: a new approach for flood-induced indirect economic impact measurement and post-flood recovery

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

2
22
0
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
2
1

Relationship

3
6

Authors

Journals

citations
Cited by 46 publications
(28 citation statements)
references
References 36 publications
2
22
0
2
Order By: Relevance
“…We made simple assumptions that 1% capital loss will reduce 1% productivity immediately, and lead to 1% loss of production; and all the individual firms in one industry share the same damage ratio. Although such assumptions are adopted by several previous studies [25,27], the relationships between the capital damage and productivity should be considered more accurately in specific real events. Before the subsequent event occurs (1 ≤ t < m), remaining production under capital limitations (x t cap ) at period t is shown as equation (2.7), whereα 1 t is the diagonal matrix of industrial damage fractions at time t.…”
Section: (I) Capital Limitationsmentioning
confidence: 99%
See 1 more Smart Citation
“…We made simple assumptions that 1% capital loss will reduce 1% productivity immediately, and lead to 1% loss of production; and all the individual firms in one industry share the same damage ratio. Although such assumptions are adopted by several previous studies [25,27], the relationships between the capital damage and productivity should be considered more accurately in specific real events. Before the subsequent event occurs (1 ≤ t < m), remaining production under capital limitations (x t cap ) at period t is shown as equation (2.7), whereα 1 t is the diagonal matrix of industrial damage fractions at time t.…”
Section: (I) Capital Limitationsmentioning
confidence: 99%
“…This research constructs an input-output (IO)-based robust methodology (flood footprint model) for IFF accounting, both mathematically and logistically, in which the approach is able to quantify combined indirect economic impacts resulting from a single or multiple sudden-onset storm sequence by capturing industrial and regional interdependencies and incorporating certain factors such as damaged capital and affected labour [27]. This study focuses on the methodology which can be applied when multiple successive flood events occur and a hypothetical two-flood case is used to test the flexibility and feasibility of the model, while several insights into the influence of the subsequent disasters on the economy and of the impact from external assistance on post-flood economic recovery are offered as well.…”
mentioning
confidence: 99%
“…Differences in the strictness of such policies and the rapidity with which jurisdictions have imposed and relaxed the policies reflect divergent (and perhaps hasty) assessments of both the public health risk of COVID-19 and the social and economic impacts of the different policies 6,7 . Using a newly developed economic disaster model [8][9][10] , we quantitatively assess the short-run supply-chain effects of different containment strategies across countries and industry sectors to inform ongoing efforts to contain COVID-19 and to reveal more generally how pandemic-related economic losses will be distributed along global supply chains.…”
mentioning
confidence: 99%
“…Differences in the rapidity with which countries imposed such policies and the strictness of the policies reflect divergent (and perhaps hasty) assessments of both the public health risk of COVID-19 and the social and economic impacts of the different policies 6,7 . Here, using a newly-developed disaster footprint model [8][9][10] , we quantitatively assess the economic impacts of different containment strategies across countries and industry sectors in order to both inform ongoing efforts to contain COVID-19 and to reveal more generally how pandemic-related economic losses will be distributed along global supply chains.…”
mentioning
confidence: 99%