Examinando por Autor "Duque, J.C."
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Publicación Computational steering of CFD simulations using a grid computing environment(Springer-Verlag France, 2015-06-08) Garcia Ruiz, Manuel Julio; Duque, J, C.; BOULANGER, PIERRE; FIGUEROA, PABLO; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)Simulation of complex phenomena is usually a long computing process and it has been traditionally performed in batch mode on large high performance computing (HPC) systems. However, advances in computer processing and networking capabilities can now be usPublicación 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.Publicación 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.Publicación 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 estudiosPublicación 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.Publicación 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 wePublicación 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 publiPublicación S-maup: Statistical test to measure the sensitivity to the modifiable areal unit problem(Public Library of Science, 2018-11-27) Duque J.C.; Laniado H.; Polo A.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)This work presents a nonparametric statistical test, S-maup, to measure the sensitivity of a spatially intensive variable to the effects of the Modifiable Areal Unit Problem (MAUP). To the best of our knowledge, S-maup is the first statistic of its type and focuses on determining how much the distribution of the variable, at its highest level of spatial disaggregation, will change when it is spatially aggregated. Through a computational experiment, we obtain the basis for the design of the statistical test under the null hypothesis of non-sensitivity to MAUP. We performed an exhaustive simulation study for approaching the empirical distribution of the statistical test, obtaining its critical values, and computing its power and size. The results indicate that, in general, both the statistical size and power improve with increasing sample size. Finally, for illustrative purposes, an empirical application is made using the Mincer equation in South Africa, where starting from 206 municipalities, the S-maup statistic is used to find the maximum level of spatial aggregation that avoids the negative consequences of the MAUP. © 2018 Duque et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Publicación Shocks and Spatial Regime Fades in Spain's International Migration Distribution(Blackwell Publishing Ltd, 2016-12-01) Duque, J.C.; Hierro, M.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)Using an exploratory space-time analysis called spMorph, this article explores how the spatial distribution of international migration across the Spanish provinces has evolved over the period 1998-2010. The chief advantage of this approach is that it permits the unambiguous identification of two key components in a spatial redistribution process, namely the shocks to the spatial distribution and the duration of regime fades. The results of the analysis show that administrative regions do not provide a reliable picture of the real dynamics in Spain's international migration distribution. In addition, the identification of two spatial shocks reveals the existence of three spatial regimes that consistently characterize the various phases that international migration has been through since the late 1990s.Publicación Spatiotemporal dynamics of urban growth in Latin American cities: An analysis using nighttime light imagery(ELSEVIER SCIENCE BV, 2019-01-01) Duque J.C.; Lozano-Gracia N.; Patino J.E.; Restrepo P.; Velasquez W.A.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)The impact of urban form on economic performance and quality of life has been widely recognized. Studies regarding urban form have focused on developed countries; only a small number of cities in developing countries have been studied. This paper utilizes nighttime light imagery and information regarding street networks, automatically retrieved from OpenStreetMap, to calculate a series of spatial metrics that capture different aspects of the urban form of 919 Latin American and Caribbean cities. We study the relationship between the urban form metrics and several factors that can correlate with urban form (topography, size, colony, and economic performance) and perform a spatiotemporal analysis of urban growth from 1996 to 2010. Among the results, we highlight the tendency of a group of cities to grow on steeper slopes and several worrying aspects, specifically urban growth in protected areas and a trend to sprawl-growing in certain Latin American and Caribbean cities. © 2019 Elsevier B.V.Publicación SpMorph: An exploratory space-time analysis tool for describing processes of spatial redistribution(Blackwell Publishing Ltd, 2015-08-01) Duque, J.C.; Ye, X.; Folch, D.C.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)This paper introduces an exploratory space-time analysis tool for determining the two components of a spatial redistribution process: (i) the shock, which is the moment that triggers a spatial redistribution process; for example, a new policy, a war, an earthquake, etc.; and (ii) the duration of the regime fade, which is the time between the shock and the moment in which a new regime emerges as a better representation of the spatial distribution of the attribute. Two examples are provided: the first uses China's provincial per capitaGDP between 1978 and 2008, and the second uses state level housing price and unemployment rate data for the US between 2002 and 2012. Resumen: Este artículo presenta una herramienta preliminar de análisis espacio-temporal para determinar los dos componentes de un proceso de redistribución espacial: (i) la perturbación, que es el momento que desencadena un proceso de redistribución espacial; por ejemplo, una nueva política, una guerra, un terremoto, etc.; y (ii) la duración del desvanecimiento del régimen, que es el tiempo entre la perturbación y el momento en que emerge un nuevo régimen, como una mejor representación de la distribución espacial del atributo. Se ofrecen dos ejemplos: el primero utiliza el PIB per cápita provincial de China entre 1978 y 2008, y el segundo utiliza precios de la vivienda a nivel estatal y datos de la tasa de desempleo de los EE.UU. entre 2002 y 2012. © 2015 The Author(s). Papers in Regional Science © 2015 RSAI.Publicación 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..Publicación The Network-Max-P-Regions model(TAYLOR & FRANCIS LTD, 2017-05-04) She, B.; Duque, J.C.; Ye, X.; Universidad EAFIT. Departamento de Economía y Finanzas; Research in Spatial Economics (RISE)This paper introduces a new p-regions model called the Network-Max-P-Regions (NMPR) model. The NMPR is a regionalization model that aims to aggregate n areas into the maximum number of regions (max-p) that satisfy a threshold constraint and to minimize the heterogeneity while taking into account the influence of a street network. 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. © 2016 Informa UK Limited, trading as Taylor & Francis Group.