Multiregional Disaster Impact Models: Recent Advances and Comparison of Outcomes

Elco Koks (), Raghav Pant (), Trond Husby (), Johannes Többen () and Jan Oosterhaven
Additional contact information
Elco Koks: University of Oxford
Raghav Pant: University of Oxford
Trond Husby: PBL Netherlands Environmental Assessment Agency
Johannes Többen: Norwegian University of Science and Technology

Chapter Chapter 8 in Advances in Spatial and Economic Modeling of Disaster Impacts, 2019, pp 191-218 from Springer

Abstract: Abstract This chapter provides an overview of several multiregional modelling approaches used for disaster impact analysis. The chapter specifically focuses on the multiregional supply-use model, the dynamic multiregional inoperability input-output model, the multiregional impact assessment model and the non-linear programming model. Whereas the first two approaches have been applied widely over the last years, the latter two are recently developed methods which aim to improve the estimation of a disruption in the economic system by, amongst others, allowing for a supply shock and spatial substitution effects. Our outcomes show significantly distinct results for the demand-driven multiregional supply-use model and the dynamic multiregional inoperability input-output model on the one hand, and for the non-linear programming model and the multiregional impact assessment model, on the other hand. Whereas for the former only negative impacts in all German regions and foreign countries are observed, the latter also shows positive impacts in several only indirectly impacted regions in addition to different negative impacts.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (5)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-030-16237-5_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030162375

DOI: 10.1007/978-3-030-16237-5_8

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().