Rise-group / regions_to_foster_industrial_diversification

This repository contains a heuristic model of the p-innovation ecosystems model together with a toy example for illustrative purposes.

Optimal region design to foster industrial diversification.

Daniel E. Restrepo^1,2, Juan C. Duque², Richard Church³

¹ University of Texas at Austin.

² Research in Spatial Economics (RiSE-group), Department of Mathematical Sciences, Universidad EAFIT, Medellin, Colombia

³ 3 University of California at Santa Barbara.

maintainer = "RiSE Group" (http://www.rise-group.org/). Universidad EAFIT

Corresponding author = [e-mail]

Description:

This repository contains a heuristic model of the p-innovation ecosystems model together with a toy example for illustrative purposes.

Abstract

We propose a method of developing multi-scalar 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 geographic 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.

Paper's bibtext entry:

@article{xx,
  title={Optimal region design to foster industrial diversification},
  author={Restrepo, D. E. AND Duque, J. C. AND Church, R.},
  journal={Regional Studies},
  year={2021}
}