Performance of education and research in Latin American countries through data envelopment analysis (DEA)
Fifteen Latin American countries are analyzed considering six factors that reflect their progress with respect to research and development, science and technology, education and innovation. These factors are studied as inputs and outputs in a technical efficiency analysis of their economies using Da...
- Autores:
-
Torres-Samuel , Maritza
Vásquez, Carmen Luisa
Luna, Marisabel
Bucci, Nunziatina
amelec, viloria
Crissien Borrero, Tito José
Manosalva, Jessica
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6461
- Acceso en línea:
- https://hdl.handle.net/11323/6461
https://repositorio.cuc.edu.co/
- Palabra clave:
- Latin America
Efficiency
Science and technology
Innovation
ICT
DEA
- Rights
- openAccess
- License
- CC0 1.0 Universal
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Performance of education and research in Latin American countries through data envelopment analysis (DEA) |
| title |
Performance of education and research in Latin American countries through data envelopment analysis (DEA) |
| spellingShingle |
Performance of education and research in Latin American countries through data envelopment analysis (DEA) Latin America Efficiency Science and technology Innovation ICT DEA |
| title_short |
Performance of education and research in Latin American countries through data envelopment analysis (DEA) |
| title_full |
Performance of education and research in Latin American countries through data envelopment analysis (DEA) |
| title_fullStr |
Performance of education and research in Latin American countries through data envelopment analysis (DEA) |
| title_full_unstemmed |
Performance of education and research in Latin American countries through data envelopment analysis (DEA) |
| title_sort |
Performance of education and research in Latin American countries through data envelopment analysis (DEA) |
| dc.creator.fl_str_mv |
Torres-Samuel , Maritza Vásquez, Carmen Luisa Luna, Marisabel Bucci, Nunziatina amelec, viloria Crissien Borrero, Tito José Manosalva, Jessica |
| dc.contributor.author.spa.fl_str_mv |
Torres-Samuel , Maritza Vásquez, Carmen Luisa Luna, Marisabel Bucci, Nunziatina amelec, viloria Crissien Borrero, Tito José Manosalva, Jessica |
| dc.subject.spa.fl_str_mv |
Latin America Efficiency Science and technology Innovation ICT DEA |
| topic |
Latin America Efficiency Science and technology Innovation ICT DEA |
| description |
Fifteen Latin American countries are analyzed considering six factors that reflect their progress with respect to research and development, science and technology, education and innovation. These factors are studied as inputs and outputs in a technical efficiency analysis of their economies using Data Envelopment Analysis (DEA). As inputs, the percentage of Gross Domestic Product (GDP) contributed to education and research and development expenses, in addition to the number of universities in each country. while ouputs are Information and Communication Technologies (ICT) services and high-tech exports, as well as the Global Innovation Index. The data were collected from the World Bank, Economic Commission for Latin America and the Caribbean (ECLAC), World Intellectual Property Organization (WIPO) and the Webometrics Ranking of Universities. It was obtained that the Latin American countries present different performances considering the contribution of the GDP for research and development expenses, being this the main input that contributes with the High-technology exports in the studied Latin American countries. |
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2020 |
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2020-07-05T18:43:13Z |
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2020-07-05T18:43:13Z |
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2020 |
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Artículo de revista |
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Text |
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1877-0509 |
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https://hdl.handle.net/11323/6461 |
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10.1016/j.procs.2020.03.079 |
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Corporación Universidad de la Costa |
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eng |
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eng |
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[1] Silja Baller, Soumitra Dutta, and Bruno Lanvin. (2016). “The Global Information Technology Report 2016”. Innovating in the Digital Economy. World Economic Forum. OnLine: http://www3.weforum.org/docs/GITR2016/WEF_GITR_Full_Report.pdf. [2] Moreno Espitia; Maya Irma Cristina, Méndez Andrea Samanta; Aké Salvador Cruz. (2019) “Factores determinantes de las exportaciones de servicios de telecomunicaciones, informática y de información para países de la OCDE, 2006-2014”. Revista de la Facultad de Contaduría y Ciencias Administrativas, 4(8), 130-143, OnLine: http://rfcca.umich.mx/index.php/rfcca/article/view/126 [3] Salinas García, R., and Montes Pimentel, D. (2016) “El desarrollo del sector de software en América Latina y Asia”. Relaciones Internacionales, 89 (1), 151-169. OnLine: https://doi.org/10.15359/ri.89-1.7. https://www.revistas.una.ac.cr/index.php/ri/article/view/8424 [4] La Organización Mundial del Comercio. (2016) “Examen estadístico del comercio mundial 2016”. p.125. Disponible: https://www.wto.org/spanish/res_s/statis_s/wts2016_s/wts2016_s.pdf [5] La Organización Mundial del Comercio. (2019) “Examen estadístico del comercio mundial 2019”. Disponible: https://www.wto.org/spanish/res_s/statis_s/wts2019_s/wts2019_s.pdf [6] Medeiros Victor, Gonçalves Godoi Lucas y Camargos Teixeira Evandro. (2019). “La competitividad y sus factores determinantes: un análisis sistémico para países en desarrollo”. Revista de la CEPAL, N° 129. 7-27. [7] Vásquez, C; Torres, M; Viloria, A. (2017) “Public Policies in Science and Technology in Latin American Countries with Universities in the Top 100 of Web Ranking”. Journal of Engineering and Applied Sciences. 12 (11). 2963 – 2965. [8] C. Vásquez, M. Torres-Samuel, A. Viloria, T. Crissien, N. Valera, M. Gaitán- Angulo y J. Lis-Gutierrez, (2018) “Visibility of research in universities: the triada producto-research-institution. Case: Latin American Contries”. Lectur Notes in Computer Sciencie. [9] World Intellectual Property Organization (WIPO). Global Innovation Index 2017. https://www.wipo.int/publications/en/details.jsp?id=4193 [10] Banco Mundial (2020,a). “Indicadores del desarrollo mundial (IDM)”.OnLine: https://databank.bancomundial.org/reports.aspx?source=2&series=BX.GSR.CCIS.ZS&country=# [11] Comisión Económica para América Latina y el Caribe (CEPAL). CEPALSTAT, Bases de Datos y Publicaciones Estadísticas. Disponible: https://estadisticas.cepal.org/cepalstat/PerfilesNacionales.html?idioma=spanish [12] Consejo Superior de Investigaciones Científicas de España (CSIC). Webometrics (enero, 2020). Ranking Web de Universidades, Latinoamérica. Disponible en: http://www.webometrics.info/es [13] Banco Mundial (2020,b). Población total. https://datos.bancomundial.org/indicador/SP.POP.TOTL [14] Banco Mundial. (2020,c). World Development Indicator: Science and Technology. http://wdi.worldbank.org/table/5.13# [15] Banco Mundial. (2020,d). Exportaciones de servicios de TIC. https://datos.bancomundial.org/indicador/BX.GSR.CCIS.ZS [16] Charnes, A.; Cooper, W.W., Rhodes, E. (1978) “Measuring the efficiency of decision-making units”. European Journal of Operational Research, 2, 429-444. [17] Farrell, M. (1957)” The Measurement of Productive Efficiency”. Journal of the Royal Statistical Society, Series A, 120, Part III, 253-290. [18] Coll, V., Blasco, O. (2006) “Evaluación de la eficiencia mediante el análisis envolvente de datos”. Universidad de Valencia. España. 202 pp. [19] Murias-Fernández, Pilar. (004) “Metodología de aplicación del análisis envolvente de datos: evaluación de la eficiencia técnica en la Universidad de Santiago de Compostela”, tesis doctoral, Universidad de Santiago de Compostela. [20] Banker, R., Charnes, A. and Cooper, W.W. (1984) “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”. Management Science, 30, 1078-1092. http://dx.doi.org/10.1287/mnsc.30.9.1078. |
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Torres-Samuel , MaritzaVásquez, Carmen LuisaLuna, MarisabelBucci, Nunziatinaamelec, viloriaCrissien Borrero, Tito JoséManosalva, Jessica2020-07-05T18:43:13Z2020-07-05T18:43:13Z20201877-0509https://hdl.handle.net/11323/646110.1016/j.procs.2020.03.079Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Fifteen Latin American countries are analyzed considering six factors that reflect their progress with respect to research and development, science and technology, education and innovation. These factors are studied as inputs and outputs in a technical efficiency analysis of their economies using Data Envelopment Analysis (DEA). As inputs, the percentage of Gross Domestic Product (GDP) contributed to education and research and development expenses, in addition to the number of universities in each country. while ouputs are Information and Communication Technologies (ICT) services and high-tech exports, as well as the Global Innovation Index. The data were collected from the World Bank, Economic Commission for Latin America and the Caribbean (ECLAC), World Intellectual Property Organization (WIPO) and the Webometrics Ranking of Universities. It was obtained that the Latin American countries present different performances considering the contribution of the GDP for research and development expenses, being this the main input that contributes with the High-technology exports in the studied Latin American countries.Torres-Samuel, Maritza-will be generated-orcid-0000-0002-2713-5795-600Vásquez, Carmen LuisaLuna, MarisabelBucci, Nunziatina-will be generated-orcid-0000-0001-8321-196X-600amelec, viloria-will be generated-orcid-0000-0003-2673-6350-600Crissien Borrero, Tito José-will be generated-orcid-0000-0002-7459-7941-600Manosalva, JessicaengProcedia Computer ScienceCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Latin AmericaEfficiencyScience and technologyInnovationICTDEAPerformance of education and research in Latin American countries through data envelopment analysis (DEA)Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Silja Baller, Soumitra Dutta, and Bruno Lanvin. (2016). “The Global Information Technology Report 2016”. Innovating in the Digital Economy. World Economic Forum. OnLine: http://www3.weforum.org/docs/GITR2016/WEF_GITR_Full_Report.pdf.[2] Moreno Espitia; Maya Irma Cristina, Méndez Andrea Samanta; Aké Salvador Cruz. (2019) “Factores determinantes de las exportaciones de servicios de telecomunicaciones, informática y de información para países de la OCDE, 2006-2014”. Revista de la Facultad de Contaduría y Ciencias Administrativas, 4(8), 130-143, OnLine: http://rfcca.umich.mx/index.php/rfcca/article/view/126[3] Salinas García, R., and Montes Pimentel, D. (2016) “El desarrollo del sector de software en América Latina y Asia”. Relaciones Internacionales, 89 (1), 151-169. OnLine: https://doi.org/10.15359/ri.89-1.7. https://www.revistas.una.ac.cr/index.php/ri/article/view/8424[4] La Organización Mundial del Comercio. (2016) “Examen estadístico del comercio mundial 2016”. p.125. Disponible: https://www.wto.org/spanish/res_s/statis_s/wts2016_s/wts2016_s.pdf[5] La Organización Mundial del Comercio. (2019) “Examen estadístico del comercio mundial 2019”. Disponible: https://www.wto.org/spanish/res_s/statis_s/wts2019_s/wts2019_s.pdf[6] Medeiros Victor, Gonçalves Godoi Lucas y Camargos Teixeira Evandro. (2019). “La competitividad y sus factores determinantes: un análisis sistémico para países en desarrollo”. Revista de la CEPAL, N° 129. 7-27.[7] Vásquez, C; Torres, M; Viloria, A. (2017) “Public Policies in Science and Technology in Latin American Countries with Universities in the Top 100 of Web Ranking”. Journal of Engineering and Applied Sciences. 12 (11). 2963 – 2965.[8] C. Vásquez, M. Torres-Samuel, A. Viloria, T. Crissien, N. Valera, M. Gaitán- Angulo y J. Lis-Gutierrez, (2018) “Visibility of research in universities: the triada producto-research-institution. Case: Latin American Contries”. Lectur Notes in Computer Sciencie.[9] World Intellectual Property Organization (WIPO). Global Innovation Index 2017. https://www.wipo.int/publications/en/details.jsp?id=4193[10] Banco Mundial (2020,a). “Indicadores del desarrollo mundial (IDM)”.OnLine: https://databank.bancomundial.org/reports.aspx?source=2&series=BX.GSR.CCIS.ZS&country=#[11] Comisión Económica para América Latina y el Caribe (CEPAL). CEPALSTAT, Bases de Datos y Publicaciones Estadísticas. Disponible: https://estadisticas.cepal.org/cepalstat/PerfilesNacionales.html?idioma=spanish[12] Consejo Superior de Investigaciones Científicas de España (CSIC). Webometrics (enero, 2020). Ranking Web de Universidades, Latinoamérica. Disponible en: http://www.webometrics.info/es[13] Banco Mundial (2020,b). Población total. https://datos.bancomundial.org/indicador/SP.POP.TOTL[14] Banco Mundial. (2020,c). World Development Indicator: Science and Technology. http://wdi.worldbank.org/table/5.13#[15] Banco Mundial. (2020,d). Exportaciones de servicios de TIC. https://datos.bancomundial.org/indicador/BX.GSR.CCIS.ZS[16] Charnes, A.; Cooper, W.W., Rhodes, E. (1978) “Measuring the efficiency of decision-making units”. European Journal of Operational Research, 2, 429-444.[17] Farrell, M. (1957)” The Measurement of Productive Efficiency”. Journal of the Royal Statistical Society, Series A, 120, Part III, 253-290.[18] Coll, V., Blasco, O. (2006) “Evaluación de la eficiencia mediante el análisis envolvente de datos”. Universidad de Valencia. España. 202 pp.[19] Murias-Fernández, Pilar. (004) “Metodología de aplicación del análisis envolvente de datos: evaluación de la eficiencia técnica en la Universidad de Santiago de Compostela”, tesis doctoral, Universidad de Santiago de Compostela.[20] Banker, R., Charnes, A. and Cooper, W.W. (1984) “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”. 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