• Corpus ID: 221112305

The p-Innovation ecosystems model

  title={The p-Innovation ecosystems model},
  author={Ryan Church and Juan Carlos Duque and Daniel E. Restrepo},
  journal={arXiv: Physics and Society},
In this paper, we propose a spatially constrained clustering problem belonging to the family of "p-regions" problems. Our formulation is motivated by the recent developments of economic complexity on the evolution of the economic output through key interactions among industries within economic regions. The objective of this model consists in aggregating a set of geographic areas into a prescribed number of regions (so-called innovation ecosystems) such that the resulting regions preserve the… 
Identifying poverty traps based on the network structure of economic output
In thiswork, we explore the relationship betweenmonetary poverty and production combining relatedness theory, graph theory, and regression analysis. We develop two measures at product level that…
Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach
Using a novel dataset, this article studies the spatial distribution of human capital constraints across 339 municipalities in Bolivia. In particular, five human capital constraints are evaluated:…


Productive Ecosystems and the arrow of development
A probabilistic model is derived for the directed dynamical process of capability accumulation and product diversification of countries and shows that low- and middle-income countries move from product communities dominated by small Ecosystem products to advanced (large Ecosystem) product clusters over time.
The Dynamics of Nestedness Predicts the Evolution of Industrial Ecosystems
The presence and absence of industries in international and domestic economies are studied and it is shown that these networks are significantly nested, which means that the less filled rows and columns of these networks' adjacency matrices tend to be subsets of the fullerrows and columns.
Delimitation of Functional Regions Using a p-Regions Problem Approach
An analytical target reduction approach is proposed to enhance the model tractability in generating optimal solutions to large problems and to demonstrate the effectiveness of the optimization model using journey-to-work data from Seoul and South Carolina.
Optimal diversification strategies in the networks of related products and of related research areas
It is shown that it is not only important to know which activities to target but also when to target them, and that the strategies that minimize the total time needed to diversify an economy target highly connected activities during a narrow and specific time window.
The network structure of economic output
Much of the analysis of economic growth has focused on the study of aggregate output. Here, we deviate from this tradition and look instead at the structure of output embodied in the network…
Relatedness as driver of regional diversification: a research agenda
ABSTRACT Relatedness as driver of regional diversification: a research agenda. Regional Studies. The regional diversification literature claims that regions diversify in new activities related to…
The Network-Max-P-Regions model
The exact formulation of the NMPR is presented, and a heuristic solution is proposed to effectively compute the near-optimized partitions in several simulation datasets and a case study in Wuhan, China.
How Do Regions Diversify over Time? Industry Relatedness and the Development of New Growth Paths in Regions
Abstract The question of how new regional growth paths emerge has been raised by many leading economic geographers. From an evolutionary perspective, there are strong reasons to believe that regions…
The Product Space Conditions the Development of Nations
This study studies this network of relatedness between products, or β€œproduct space,” finding that more-sophisticated products are located in a densely connected core whereas less-sophile products occupy a less-connected periphery.
Which Agglomeration Externalities Matter Most and Why?
This paper revisits the ongoing discussion on the importance of agglomeration externalities – specifically specialization, diversity and competition effects – that may contribute to innovation,…