Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia

This paper provides insights into how to approach the assessment of scientific production efficiency using Data Envelopment Analysis (DEA). The methods employed in this paper take into account both the CCR and Assurance Region (AR) models, which are based on science, technology and innovation (STI)...

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Main Authors: Daniel Aristizábal-Torres, Monica Yuleni Castro-Peña, Paola Andrea Echeverri-Gutierrez, Jesús David Valencia-Salazar
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2017-07-01
Series:Dyna
Subjects:
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/59554
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author Daniel Aristizábal-Torres
Monica Yuleni Castro-Peña
Paola Andrea Echeverri-Gutierrez
Jesús David Valencia-Salazar
author_facet Daniel Aristizábal-Torres
Monica Yuleni Castro-Peña
Paola Andrea Echeverri-Gutierrez
Jesús David Valencia-Salazar
author_sort Daniel Aristizábal-Torres
collection DOAJ
description This paper provides insights into how to approach the assessment of scientific production efficiency using Data Envelopment Analysis (DEA). The methods employed in this paper take into account both the CCR and Assurance Region (AR) models, which are based on science, technology and innovation (STI) indicators. The sample focuses on the departments in Colombia as well as the Capital District (C.D.). The research concludes that both models calculate the efficiency of the units of analysis. Furthermore, according to the country’s STI targets, AR is susceptible to hierarchies generated within the variables.
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spelling doaj.art-f64ad32693244f7c83950efbdf0ea4da2022-12-21T18:34:28ZengUniversidad Nacional de ColombiaDyna0012-73532346-21832017-07-018420221522010.15446/dyna.v84n202.5955446705Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of ColombiaDaniel Aristizábal-Torres0Monica Yuleni Castro-Peña1Paola Andrea Echeverri-Gutierrez2Jesús David Valencia-Salazar3Universidad Libre Seccional PereiraUniversidad Católica de PereiraUniversidad Libre Seccional PereiraUniversidad Libre Seccional PereiraThis paper provides insights into how to approach the assessment of scientific production efficiency using Data Envelopment Analysis (DEA). The methods employed in this paper take into account both the CCR and Assurance Region (AR) models, which are based on science, technology and innovation (STI) indicators. The sample focuses on the departments in Colombia as well as the Capital District (C.D.). The research concludes that both models calculate the efficiency of the units of analysis. Furthermore, according to the country’s STI targets, AR is susceptible to hierarchies generated within the variables.https://revistas.unal.edu.co/index.php/dyna/article/view/59554assessment of scientific productionefficiencyscience, technology and innovation indicatorsData Envelopment Analysis (DEA)
spellingShingle Daniel Aristizábal-Torres
Monica Yuleni Castro-Peña
Paola Andrea Echeverri-Gutierrez
Jesús David Valencia-Salazar
Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia
Dyna
assessment of scientific production
efficiency
science, technology and innovation indicators
Data Envelopment Analysis (DEA)
title Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia
title_full Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia
title_fullStr Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia
title_full_unstemmed Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia
title_short Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia
title_sort assessing the efficiency of science technology and innovation using data envelopment analysis dea the case of colombia
topic assessment of scientific production
efficiency
science, technology and innovation indicators
Data Envelopment Analysis (DEA)
url https://revistas.unal.edu.co/index.php/dyna/article/view/59554
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