Research in Spatial Economics (RISE)

URI permanente para esta comunidad

https://hdl.handle.net/10784/28017

In our group we develop quantitative methods for spatial analysis that allow researchers, public and private institutions to attain a better understanding of their georeferenced data. Our methodologies are characterized by their multidisciplinarity, involving research domains such as operation research, econometrics and exploratory spatial data analysis.

Líneas de investigación: Algoritmos y Métodos Computacionales; Econometría Espacial y Sistemas; Información Geográfica.
Código Minciencias: COL0079819.
Categoría 2019: A1.
Escuela: Ciencias.
Coordinadora: Juan Carlos Duque Cardona.
Correo electrónico: jduquec1@eafit.edu.co

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Mostrando 1 - 20 de 101

A network based approach towards industry clustering
(Edward Elgar Publishing Ltd, 2008) Duque, Juan C.; Rey, S. J.; Universidad EAFIT. Escuela de Economía y Finanzas. Research in Spatial Economics (RiSE), Carrera 49 7 Sur-50, Medellín, Colombia.; Escuela de Economía y Finanzas; Duque, Juan C. (jduquec1@eafit.edu.co); Research in Spatial Economics (RiSE)
Regional and urban science in France: Rankings of authors and institutions & publication patterns during the nineties
(Gilbert Benhayoun and Maurice Catin, 2008-01-01) Royuela, Vicente; Duque, J, C.; Suriñach, Jordi; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
This article analyses the evolution experienced by research in urban and regional science in France between 1991 and 2000, comparing these changes with wider international trends. Nine of the leading international journals of regional and urban studies we
Algunos conceptos de la econometría espacial y el análisis exploratorio de datos espaciales.
(Universidad EAFIT, 2008-10-01) Acevedo, Ingrid; Velásquez, H.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
El presente artículo es parte del trabajo realizado en el proyecto de Investigación ?Análisis Exploratorio de Datos Espaciales y el Índice de Moran?, el cual es financiado con fondos de la Universidad EAFIT para el año 2008. En este trabajo se presenta
Diez años de atentados a la infraestructura de Colombia
(Centro De Análisis Político – Universidad EAFIT, 2009) Villegas, L. C.; Duque, Juan C.; Universidad EAFIT. Escuela de Economía y Finanzas. Research in Spatial Economics (RiSE), Carrera 49 7 Sur-50, Medellín, Colombia.; Escuela de Economía y Finanzas; Duque, Juan C. (jduquec1@eafit.edu.co); Research in Spatial Economics (RiSE)
Identifying industry clusters in Colombia based on graph theory
(Elsevier, 2009-01-01) Duque, J.C.; Rey, S.J.; Gómez, D.A.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
This paper presents a new way to identify and understand the industry clusters in the Colombian economy. The analysis relies on a recent methodology proposed by Duque and Rey (2008) where intricate input-output linkages between industries are simplified using network analysis. In addition to other techniques for cluster identification available in the literature, this novel methodology allows us not only to classify each industry in a given cluster, but also to understand how industries are related to each other within their clusters. This methodology offers a conciliatory approach to two radically different views about the economic unit from which policy makers should design their strategies for resource allocation: Porter's cluster strategy versus Hausmann's industrial targeting.
Identificação de clusters industriais na Colômbia baseados na teoria de grafos
(Elsevier, 2009-01-01) Duque, J.C.; Rey, S.J.; Gómez, D.A.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
This paper presents a new way to identify and understand the industry clusters in the Colombian economy. The analysis relies on a recent methodology proposed by Duque and Rey (2008) where intricate input-output linkages between industries are simplified using network analysis. In addition to other techniques for cluster identification available in the literature, this novel methodology allows us not only to classify each industry in a given cluster, but also to understand how industries are related to each other within their clusters. This methodology offers a conciliatory approach to two radically different views about the economic unit from which policy makers should design their strategies for resource allocation: Porter's cluster strategy versus Hausmann's industrial targeting.
Predicciones de modelos econometrricos y redes neuronales: el caso de la acción de suraminv
(Universidad de Medellín, 2009-08-01) Velasquez, Hermilson; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
Predicciones de modelos econometrricos y redes neuronales: el caso de la acción de suraminv En: Colombia
(Universidad de Medellín, 2009-12-31) Velasquez, Hermilson; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
ESTIMACIÓN DE LAS PROVISIONES ESPERADAS EN UNA INSTITUCIÓN FINANCIERA UTILIZANDO MODELOS LOGIT Y PROBIT.
(Editorial Universidad Pontificia Bolivariana, 2010-01-01) Tamara, Armando Lenin; Velasquez, Hermilson; Aristizábal, Raúl Enrique; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
This article is one the results in the development of a master thesis in finance from the University EAFIT.
Alternativas fundamentales para cuantificar el riesgo operacional
(Universidad EAFIT, 2010-01-01) Velasquez, Hermilson; Luis Ceferino Franco Arbeláez; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
Estimación de las provisiones esperadas en una institucion financiera utilizando modelos logit y probit
(Editorial Universidad Pontificia Bolivariana, 2010-05-01) Velasquez, Hermilson; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
Is the wage curve formal or informal? Evidence for Colombia
(ELSEVIER SCIENCE SA, 2010-11-01) Ramos, Raul; Duque, Juan C.; Surinach, Jordi; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
Using microdata from the 2002-2006 Colombian Continuous Household Survey, we find an elasticity of individual wages to local unemployment rates of - 0.07. However, the elasticity for informal workers is significantly higher, a result which is consistent with efficiency wage theoretical models and relevant for regional labour market analysis in developing countries. © 2010 Elsevier B.V.
Una aplicación con datos de sobrevivencia: Utilización de modelos de regresión parcial censurados
(Fondo Editorial Universidad EAFIT, 2010-12-31) Velasquez, Hermilson; Héctor Javier Herrera; Jorge Ivan Jimenez Gomez; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
Cuantificación del riesgo operacional utilizando sistemas de funciones iteradas.
(Universidad de Medellín, 2011-01-01) Velasquez, Hermilson; Franco, Luis Ceferino; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
El presente artículo es uno de los resultados obtenidos en proyectos de investigación financiados por la Universidad EAFIT para el año 2011 y se basa en un estudio de Iacus y La Torre...
The p-Regions Problem
(WILEY-BLACKWELL, 2011-01-01) Duque, Juan C.; Church, Richard L.; Middleton, Richard S.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
The p-regions problem involves the aggregation or clustering of n small areas into p spatially contiguous regions while optimizing some criteria. The main objective of this article is to explore possible avenues for formulating this problem as a mixed integer-programming (MIP) problem. The critical issue in formulating this problem is to ensure that each region is a spatially contiguous cluster of small areas. We introduce three MIP models for solving the p regions problem. Each model minimizes the sum of dissimilarities between all pairs of areas within each region while guaranteeing contiguity. Three strategies designed to ensure contiguity are presented: (1) an adaptation of the Miller, Tucker, and Zemlin tour-breaking constraints developed for the traveling salesman problem; (2) the use of ordered-area assignment variables based upon an extension of an approach by Cova and Church for the geographical site design problem; and (3) the use of flow constraints based upon an extension of work by Shirabe. We test the efficacy of each formulation as well as specify a strategy to reduce overall problem size. © 2011 The Ohio State University.
Research networks and scientific production in Economics: The recent Spanish Experience
(Universidad EAFIT, 2011-03-01) Duque, J, C.; Ramos, Raul; Rayuela, Vicente; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
This paper studies Spanish scientific production in Economics from 1994 to 2004. It focuses on aspects that have received little attention in other bibliometric studies, such as the impact of research and the role of scientific collaborations in the publi
Infraestructura pública y precios de vivienda: Una aplicación de regresión geográficamente ponderada en el contexto de precios hedónicos.
(Universidad EAFIT, 2011-08-01) Duque, J, C.; Velásquez, H.; Agudelo, J; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
El análisis de las externalidades en el sector inmobiliario ha atraído desde hace varios años la atención de los investigadores suscitando una gran cantidad de estudios
A computationally efficient method for delineating irregularly shaped spatial clusters
(Springer Berlin Heidelberg, 2011-12-01) Duque, Juan C.; Aldstadt, Jared; Velasquez, Ermilson; Franco, Jose L.; Betancourt, Alejandro; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
In this paper, we present an efficiency improvement for the algorithm called AMOEBA, A Multidirectional Optimum Ecotope-Based Algorithm, devised by Aldstadt and Getis (Geogr Anal 38(4):327-343, 2006). AMOEBA embeds a local spatial autocorrelation statistic in an iterative procedure in order to identify spatial clusters (ecotopes) of related spatial units. We provide an analysis of the computational complexity of the original AMOEBA and develop an alternative formulation that reduces computational time without losing optimality. Empirical evidence is provided using georeferenced socio-demographic data in Accra, Ghana. © 2010 Springer-Verlag.
The max-p-regions problem
(WILEY-BLACKWELL PUBLISHING INC, 2012-01-01) Duque, J.C.; Anselin, L.; Rey, S.J.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
In this paper, we introduce a new spatially constrained clustering problem called the max-p-regions problem. It involves the clustering of a set of geographic areas into the maximum number of homogeneous regions such that the value of a spatially extensive regional attribute is above a predefined threshold value. We formulate the max-p-regions problem as a mixed integer programming (MIP) problem, and propose a heuristic solution. © 2011, Wiley Periodicals, Inc..
Propuesta metodológica para la desagregación espacio-temporal de los indicadores de demografía empresarial
(Asociacion Espanola de Ciencia Regional, 2012-01-01) Duque, J.C.; García, J.R.; Suriñach, J.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)
This article presents a methodology to calculate, for the whole of the Autonomous Communities in Spain, firm demography indicators at the sector level, disaggregating in terms of both business size and the legal status of companies. We provide empirical evidence using quarterly accounts of Social Security for Catalonia. As firm demography indicators are usually obtained annually, we propose new formulations that allow their calculation on quarterly bases, using information from the Social Security records, so that the results are consistent with the official information. © Investigaciones Regionales.

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