This paper presents a new method for identifying industry clusters. It draws on network analysis theory and relies on regional input-output tables as the information source. The methodology can be divided into two main blocks, data reduction and network partitioning. Data reduction starts by representing industries and products/services flows as a directed graph, where the links are represented as arrows indicating the flows directions. Based on several assumptions about how industries are related into a supply chain, the initial graph is transformed into an undirected graph by deriving relative weights from products/services flows. The second reduction is formulated as a minimization problem, resulting in a minimum spanning tree (MST) for a subset of the initial graph edges. The final clusters are obtained through selective deletions of edges in the MST, such that, each cluster contains a core industry.
The dropout rate among Spanish university students is very high compared to the European mean, creating a pressing need for the introduction of policies and programmes aimed at increasing rates of persistence.
Propuesta metodologica para la desagregación espacio-temporal de los indicadores de demografía empresarial
A review of regional science applications of satellite remote sensing in urban settings
Python library with spatially constrained clustering algorithms
Interactive tool for visualizing the interindustry dynamics in Colombian economy.
Interactive tool for visualizing the spatial distribution of economic impacts in Colombian metropolitan areas.
RiSE-group was invited to the workshop "The Role of Cities In Creating Improved Economic Opportunities" in the UN-Habitat Governing Council... here are some pictures of the event, Link
The student of the Master in Economics from the University EAFIT, Oswaldo Zapata, was one of the awarded students by the Government of Antioquia
The thesis of economics student, Miguel Norena, has been published in the book Defining the Regional Spatial Scale in Modern Analysis.