Identification of strategic industries: A dynamic perspective
Papers in Regional Science, 2004, vol. 83, issue 4, 669-698
Reliable estimates of the economy-wide losses associated with industry closings are generally hard to obtain. In the input-output literature, numerous measures of the social value of industries have been proposed. These measures are mostly based on comparative statics results, whereas the recent upsurge of growth theories suggests a dynamic perspective. In this article “hypothetical extraction” methods are used in a new dynamic input-output growth model. The model also stresses the importance of technological linkages between industries and of international trade performance. The potential power of the dynamic extraction methodology is illustrated by simulation results for a hypothetical economy. Copyright Springer-Verlag Berlin/Heidelberg 2004
Keywords: Interindustry analysis; dynamic models; technological progress; growth (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (9) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Journal Article: Identification of strategic industries: A dynamic perspective (2004)
Working Paper: Identification of strategic industries: a dynamic perspective (2002)
Working Paper: Identification of Strategic Industries: A Dynamic Perspective (2001)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:presci:v:83:y:2004:i:4:p:669-698
Ordering information: This journal article can be ordered from
http://www.springer. ... cience/journal/10110
Access Statistics for this article
Papers in Regional Science is currently edited by Raymond J.G.M. Florax
More articles in Papers in Regional Science from Springer, Regional Science Association International Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla ().