Optimal region design to foster industrial diversification

Bibliographic Data

ID10408331
AuthorsDaniel E Restrepo (Department of Mathematics, The University of Texas at Austin, Austin, TX, USA; and Research in Spatial Economics (RiSE) Group, Department of Mathematical Sciences, Universidad EAFIT, Medellín, Colombia.), Juan C Duque (0000-0002-4016-681X, Research in Spatial Economics (RiSE) Group, Universidad EAFIT, Medellín, Colombia., corresponding author), Richard L Church (0000-0003-2263-2204, Department of Geography, University of California, Santa Barbara, CA, USA.)
Year2021
Volume56
Issue7
Pages1125-1141
Publication date2021-11-08
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueRegional Studies (JOURNAL)
Journal identifiersISSN: 0034-3404 • E-ISSN: 1360-0591
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/00343404.2021.1986210
OpenAlexW3211698577
LanguageEN
Citations received1
References cited38

We propose a method of developing multiscalar industrial policies based on a spatially constrained clustering model which combines aspects of complexity, relatedness and geography. Our formulation is motivated by recent developments of economic complexity regarding the evolution of economic output through interactions among industries within economic regions. This model aims to aggregate a set of geographical areas into a prescribed number of regions such that the resulting regions preserve key interactions among industries and encourage the emergence of complex industries. We use Colombia as a case study to illustrate how our mode can be applied for policy and regional development

Business · Cluster analysis · Diversification (marketing strategy · Economic geography · Economic system · Economics · Geography · Key (lock · Mode (computer interface · Regional science · Set (abstract data type · Computer Science · Economic and Technological Innovation · Marketing · Regional Economics and Spatial Analysis · Regional resilience and development

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