Economic Impacts of an Unscheduled, Disruptive Event: A Miyazawa Multiplier Analysis

Yasuhide Okuyama, Michael Sonis and Geoffrey Hewings
Additional contact information
Michael Sonis: University of Illinois

Chapter 6 in Understanding and Interpreting Economic Structure, 1999, pp 113-143 from Springer

Abstract: Abstract The damages and losses from unscheduled events, such as earthquakes, flood, and other major natural disasters, have significant and intense impacts on a region’s economy. The demand for the estimation of the economic impacts of recovery and reconstruction as well as of damages per se may become immediate after such events. Most analytical models of urban and regional economies, however, cannot confront these unscheduled and significant changes, since, at best, they assume incremental changes in systems over time. The consequences associated with the event, moreover, will have many aspects including damages on demand and supply sides, for example, since the event may affect a wide range of regional activities in different ways. The difficulties with impact analysis of unscheduled events are, therefore, 1) disentangling the consequences stemming directly and indirectly from the event; 2) deriving possibly different assessments at each spatial level — cities, region, or nation — (Hewings and Mahidhara, 1996), and 3) evaluating the reaction of households which are poorly understood (West and Lenze, 1994).

Keywords: Final Demand; Construction Sector; Reconstruction Activity; Matrix Multiplier; Regional Science Association (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (11)

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:978-3-662-03947-2_6

Ordering information: This item can be ordered from
http://www.springer.com/9783662039472

DOI: 10.1007/978-3-662-03947-2_6

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 ().