Eficiencia de los estudiantes urbanos y rurales de Santander: Saber 11 2016

Efficiency of Santander’s urban and rural students: Saber 11 2016

Rafael Antonio Viana Barceló , Heidy Mariana Pinto Prieto

Suma de Negocios, 9(20), 111-119, julio-diciembre 2018, ISSN 2215-910X

http://dx.doi.org/10.14349/sumneg/2018.V9.N20.A5

Recibido el 11 de Septiembre de 2018
Aceptado el 16 de Octubre de 2018
Online el 23 de Octubre de 2018

Resumen

En este documento, se utiliza información a nivel del alumno y el Análisis Envolvente de Datos (DEA) para desagregar la eficiencia de los estudiantes pertenecientes a colegios rurales y urbanos del Departamento de Santander (Colombia) en la Prueba Saber 11, en la parte atribuible al propio estudiante y la atribuible al colegio: urbano o rural. Para desagregar la eficiencia, se analizó el desempeño de los alumnos dentro del colegios para obtener la eficiencia atribuible al propio estudiante. Luego, se analizó el desempeño de los alumnos dentro de todos los colegios para determinar la eficiencia total del estudiante. Los resultados muestran que los estudiantes pertenecientes a colegios rurales son un 7% más ineficientes que los pertenecientes a colegios urbanos. De igual manera, se encontró que la mayor contribución a la ineficiencia es atribuible a los colegios.


Palabras clave:
Eficiencia, DEA,
economía de la educación,
bachillerato, colegios

Códigos JEL:
M12, I21, C13, C15, D61

Abstract

In this document, information is used at the student level and the Data Envelopment Analysis (DEA) to disaggregate the efficiency of students belonging to rural and urban schools of the Department of Santander (Colombia) in the knowing test 11, in the attributable part the student himself and the one attributable to the school: urban or rural. To disaggregate the efficiency, the performance of the students within the schools was analyzed to obtain the efficiency attributable to the student. Then, the performance of the students within all the schools was analyzed to determine the total efficiency of the student. The results show that students belonging to rural schools are 7% more inefficient than those belonging to urban schools. Likewise, it was found that the greatest contribution to inefficiency is attributable to schools.


Keywords:
Efficiency,
DEA,
students,
secondary,
schools

Artículo Completo
Bibliografía

Alokan, F. B. & Arijesuyo, A. E. (2013). Rural and urban differential in student’s academic performance among secondary school students in ondo state, nigeria. Journal of Educational and Social Research , 3(3), 213-217.

Amuda, B. G. & Ali, D. G. (2016). Parents’ Level of Education as Predictors of Academic Performance of Nce Students of Colleges of Education in the North Eastern States of Nigeria. OSR Journal Of Humanities And Social Science, 2(2), 41-47.

Bhat, M. A., Joshi, J. & Wani, A. (2016). Effect of Socio Economic Status on Academic Performance of Secondary School Students. The International Journal of Indian Psychology, 3(4), 32-37.

Boix, R., Champollion, P. & Duarte, A. M. (2015). Teaching and Learning in Rural Contexts. Journal of education , 3(2), 2847.

Davis-Kean, P. E. (2005). The Influence of Parent Education and Family Income on Child Achievement: The Indirect Role of Parental Expectations and the Home Environment. Journal of Family Psychology, 19(2), 294-304.

Denaux, Z. S. (2009). Determinants of technical efficiency: urban and rural public schools in the State of Georgia. Southwestern Economic Review, 36(1), 105-115.

Goldstein, H. (1997). Methods in School Effectiveness Research. School Effectiveness and School Improvement, 8, 369-395.

Hanushek, E. A. (1986). The economics of schooling: production and efficiency in public school. Journal of economic literature, 24(3), 1141-1177.

Johnes, J., Portela, M. & Emmanuel, T. (2017). Efficiency in education. Journal of the Operational Research Society, 6(4), 331-338.

Kantabutra, S. (2009). Using a DEA Management tool through a nonparametric approach: an examination of urban-rural efects on thai school efficiency. International Journal of education policy & leadership, 4(2), 1-14.

khan, R. M., Iqbal, N. & Tasneem, S. (2015). The influence of parents educational level on secondary school students academic achievements in district Rajanpur. Journal of Education and Practice, 6(16), 76-79.

Kuah, C. T. & Wong, K. Y. (2011). Efficiency assessment of universities through data envelopment analysis. Procedia Computer Science, 3, 499-506.

Laxton, V. (2016). Understanding Educational Inequality in Rural Lincolnshire: A Statistical Interrogation of Gaps in Educational Achievement: en New Perspectives in Science Education, 5th Editio. Florencia. Recuperado el 2 de febrero de 2018, de https://conference.pixel-online.net/NPSE/files/npse/ed0005/FP/2456-SSE1575-FP-NPSE5.pdf

Mancebón-Torrubia, M. J., Calero, J., Choi, Á. & Embún, D. P. (2012). The efficiency of public and publicly subsidized high schools in Spain: Evidence from PISA-2006. Journal of the operational research Society, 63, 1516-1533.

McCracken, J. D. & Barcinas, J. D. (1991). Differences Between Rural and Urban Schools, Student Characteristics, and Student Aspirations in Ohio. Journal of Research in Rural Education, 7(2), 29-40.

McEwan, P. J., & Carnoy, M. (2000). The effectiveness and efficiency of Schools in Chile´s voucher system. Educational evaluation and policy analysis, 22(3), 213-239.

Perelman, S. & Santin, D. (2008). Measuring educational efficiency at student level with parametric stochastic distance functions: An application to Spanish PISA results. Education economics, 19(1), 29-49. doi:https://doi.org/10.1080/09645290802470475

Portela, M. C. & Thanassoulis, E. (2001). Decomposing school and school-type efficiency. European journal of operational Research , 132, 357-373.

Reeves, E. B., & Bylund, R. A. (2005). Are Rural Schools Inferior to Urban Schools? A Multilevel Analysis of School Accountability Trends in Kentucky. Rural Sociology, 70(3), 360-386.

Saikia, P. (2017). Comparative study on academic perfomance of rural and urban secondary student with special reference to lakhimpur district of Assam. 3(7), 135-136.

Sharma, G. & Jha, M. (2014). Academic performance in relation to parents’ education,. Journal of Psychosocial Research, 9(1), 171-178.

Sofiane, M. & Ali, Y. (2017). The Efficiency of the Education System and the Social Welfare: State of Correlation and Channels of Impact. European Business & Management, 3(2), 16-20.

Stanley, L. R., Comello, M. L., Edwards, R. W. & Marquart, B. S. (2008). School adjustment in rural and urban communities: do students from ‘‘Timbuktu’’ Differ from Their ‘‘City slicker’’ peers? J Youth Adolescence, 37, 225-238. doi:10.1007/s10964-007-9180-8

Thanassoulis, E. & Portela, M. D. (2002). School outcomes: sharing the responsibility Between Pupil and School. Education Economics , 10(2). doi:https://doi.org/10.1080/09645290210126913

Xu, H. & Liu, F. (2017). Measuring the Efficiency of Education and Technology via DEA Approach: Implications on National Development. Social Sciences, 6(136), 1-13.

Zhang, D., Li, X. & Xue, J. (2015). Education inequality between rural and urban areas of the people’s Republic of China, migrants’ children education, and some implications . Asian Development Review, 32(1), 196-224.

Zhao, G., Ye, J., Li, Z. & Xue, S. (2017). How and why do Chinese urban students outperform their rural counterparts? China Economic Review, 45, 103-123.

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Instituciones

Universidad Industrial de Santander
Universidad Santo Tomás
Universidad del Rosario
Copyright © 2018. Fundación Universitaria Konrad Lorenz, Colombia

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