Optimal region design to foster industrial diversification

Daniel E. Restrepo, Juan Duque and Richard Church

Regional Studies, 2022, vol. 56, issue 7, 1125-1141

Abstract: 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.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2021.1986210 (text/html)
Access to full text is restricted to subscribers.

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:taf:regstd:v:56:y:2022:i:7:p:1125-1141

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20

DOI: 10.1080/00343404.2021.1986210

Access Statistics for this article

Regional Studies is currently edited by Ivan Turok

More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().