Skip to main navigation menu Skip to main content Skip to site footer

Salaries, incentives and teaching intellectual production in the public university in Colombia


In this article the determinants of intellectual productivity of teachers of public universities in Colombia are studied, focusing on the effect of wage incentive on intellectual productivity and wage effects. Based on information from the teaching staff of the Universidad del Valle between the years 20042012, an econometric model lifecycle university professor were estimated to quantify these effects. An important and significant effect of the present value of the salary point was found, but no was found positive effect of wages on intellectual production. The effects of the incentive depending on the age of the researcher and the impact of percentage increases in the value of the salary point were also calculated.


intellectual production, life cycle model, professor, Tobit model, incentive.

PDF (Español) HTML

Author Biography

Jhon Méndez Sayago

Profesor asistente


  • Aksnes, D., Rorstad, K., Piro, F., Sivertsen, G. (2011). Age and scientific performance. A large-scale study of Norwegian scientists. Paper presented at the ISSI 2011, Durban, South Africa.
  • Aksnes, D. W., Rorstad, K., Piro, F., Sivertsen, G. (2011b). Are Female Researchers Less Cited? A largescale study of Norwegian scientists. Journal of the American Society for Information Science and Technology, 62(4), pp. 628–636.
  • Allison, P., Stewart, J. (1974). Productivity differences among scientists: evidence for accumulative advantage. American Sociological Review, 39, pp. 596–606.
  • Archibugi, D., Coco, A., (2004). A new indicator of technological capabilities for developed and developing countries. World Development, 32 (4), pp. 629–654.
  • Astin, H., Bayer, A. (1979). Pervasive sex differences in the academic reward system: Scholarship, marriage, and what else?. In D.R. Lewis & W.E. Becker (Eds.), Academic rewards in higher education, Ballinger, Cambridge, MA.
  • Baccini, A., Barabesi, L., Cioni, M., Pisani, C. (2014). Crossing the Hurdle: The Determinants of Individual Scientific Performance. Scientometrics, pp. 1-28.
  • Bayer, A., Dutton, J. (1977). Career age and research-professional activities of academic scientists: tests of alternative nonlinear models and some implications for higher education faculty policies. The Journal of Higher Education, 48(3), pp. 259-282.
  • Bonaccorsi, A., Daraio, C. (2003). Age effects in scientific productivity - the case of the Italian national research council (CNR). Scientometrics, 58(1): 49-90.
  • Carayol, N., Matt, M. (2006). Individual and collective determinants of academic scientists on productivity. Information Economics and Policy, 18, pp. 55–72.
  • Carvajalino, A., Ariza, A. (2008). Evaluación de los incentivos a la investigación y extensión en la Universidad Industrial de Santander. Tesis de grado. Facultad de Ciencias Humanas. Escuela de Economía y Administración. Universidad Industrial de Santander.
  • Cohen, W., Florida, R., Goe, W. (1994). University-industry research centres in the United States. Centre for Economic Development, Carnegie Mellon University, Pittsburgh, PA.
  • Cole, S. (1979). Age and Scientific Performance. American Journal of Sociology, 84(4): 958-977.
  • Cole, J., Cole, S. (1973). Social stratification in science. Chicago: Chicago University Press.
  • Cole, S., Cole, J., Dietrich, L. (1978). Measuring the Cognitive State of Scientific Disciplines. In Elkana, Y., Lederberg, J., Merton, R., Thackray, A., Zuckermann, H. (Eds.), Toward a Metric of Science: The Advent of Science Indicators, pp. 209-251.
  • Cole, J., Zuckerman, H. (1984). The productivity puzzle: Persistence and change in patterns of publication of men and women scientists. In M. W. Steimkamp & M. Maehr (Eds.), Advances in motivation and achievement, Vol. 2, pp. 217–258.
  • Crane, D. (1965). Scientists at Major and Minor Universities: A Study of Productivity and Recognition. American Sociological Review 30(5), pp. 699-714.
  • Creswell, J. W. (1986). Measuring faculty research performance. New Directions for Institutional Research 50. San Francisco: Jossey-Bass.
  • David, P. (1994). Positive feedbacks and research productivity in science: reopening another black box. In: Grandstrand, O. (Ed), Economics and Technology. Elsevier, Amsterdam, pp. 65-85.
  • Dundar, H., Lewis, D. (1998). Determinants of research productivity in higher education. Research in Higher Education, 39(6), pp.607-631.
  • Fielden, J., Gibbons, J. (1991). Merit myopia and business school faculty publications. Business Horizons, 34 (2), pp. 8-12.
  • Fox, M. (1992). Research, teaching, and publication productivity: mutuality versus competition in academia. Sociology of Education, 65(4), pp.293-305
  • Gonzalez, C., Veloso, F. (2007). The determinants of research output and impact: A study of Mexican researchers. Research Policy, 36, pp. 1035-1051.
  • Goodwin, T. Sauer, R. (1995). Life cycle productivity in academics research: Evidence from cumulative publication histories of academic economists. Southern Economic Journal, 61(3), pp. 728-743
  • Gorbaneff, Y. (2003). Teoría del Agente-Principal y el mercadeo. Revista EAFIT, 129, pp. 75-86.
  • Gutiérrez, J., Berrio, O. (2011). Punto de inflexión entre empresas y universidades ante la relación Universidad, Empresa y Estado en Colombia. Revista Universidad & Empresa, vol. 21, pp. 167-191.
  • Guzmán, A., Trujillo, M. (2011). Políticas de incentivos relacionadas con la investigación: una revisión crítica desde la teoría de contratos. Estudios Gerenciales, 27, 120, pp. 127-145.
  • Jordan, J. M., Meador, M., Walters, S. (1989). Academic research productivity, department size and organization: further results. Economics of Education Review, 8(4): 345-352.
  • Knorr, K., Mittermeier, R., Aichholzer, G., Waller, G. (1979).Individual publication productivity as a social position effect in academic and industrial research units. In F. Andrews (Ed.), The effectiveness of research groups in six countries (pp. 55–94). Cambridge: Cambridge University Press.
  • Kyvik, S. (1991). Productivity in Academia. Scientific publishing at Norwegian universities. Oslo: Universitetsforlaget.
  • Kyvik, S. (1995). Are big university departments better than small ones?. Higher Education, 30(3), pp. 295-304.
  • Kyvik, S., Teigen, M. (1996). Child Care, Research Collaboration, and Gender Differences in Scientific Productivity. Science, Technology & Human Values, 21(1), pp. 54–71.
  • Lehman, H. C. (1958). The chemist most creative years. Science, 127, pp. 1213–1222
  • Lehman, H. C. (1960). The decrement in scientific productivity. American Psychologist, 15, pp. 128–134.
  • Levin, S., Stephan, P. (1989). Age and research productivity of academic scientists. Research in Higher Education, 30(5), pp. 531–549
  • Levin, S. y Stephan, P. (1991) Research productivity over the life cycle: evidence for academic scientists. The American Economic Review, 81, pp.114–132.
  • Long, J. S. (1978). Productivity and academic positions in the scientific career. American Sociological Review, 43, pp. 889–908.
  • Lotka A. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16, pp. 317-323
  • Manjarres, L. (2009). Las relaciones Universidad empresa y su efecto sobre la segunda misión universitaria. Tesis doctoral, Departamento de estadística e investigación operativa aplicada y calidad. Universidad Politécnica de Valencia
  • Merton, R.K. (1968). The matthew effect in science. Science, 159(3810), pp. 56-63.
  • Miller, A., Serzan, S. (1984). Criterion for identifying a refereed journal. Journal of Higher Education, 55(6), pp. 763-699.
  • Obembe, O. (2012). Determinants of scientific productivity among Nigerian University academics. Indian Journal of Science and Technology, 5(2), pp. 2155-2164
  • Paasi, A. (2005). Globalization, academic capitalism, and the uneven geographies of international journal publishing spaces. Environment and Planning, 37, pp. 769–789.
  • Pérez, M. (2013). Reforma al Decreto 1279 por la puerta de atrás. ¿Qué universidad queremos?. Publicación trimestral del Departamento de Filosofía de la Universidad del Valle, N°2.
  • Perozo, S., de Arteaga, F., Fuenmayor, B. (2008). La Productividad Investigativa de los Docentes del Instituto Universitario de Tecnología de Cabimas. Revista NEGOTIUM, 3 (9), pp. 72-87
  • Piedra, Y., Martínez, A. (2007). Producción científica. Revista Ciencias de la información, 38(3), pp. 33-38.
  • Porter, S., Umbach, P. (2001). Analyzing faculty workload data using multilevel modeling. Research in Higher Education, 42(2), pp. 171-196.
  • Print, M., Hattie, J. (1997). Measuring Quality in Universities: An Approach to Weighting Research Productivity. Higher Education, 33(4), pp. 453-469.
  • Rauber, M., Ursprung, H. (2008). Life Cycle and Cohort Productivity in Economic Research: The Case of Germany. German Economic Review, 9(4), pp. 431-456.
  • Rebne, D. (1990) Determinants of individual productivity: A study of academic researchers. Institute of Industrial Relations Publications Center, UCLA
  • República de Colombia (1992). Decreto 1444 de septiembre 3 de 1992. Por el cual se dictan disposiciones en materia salarial y prestacional para los empleados públicos docentes de las universidades públicas del orden nacional.
  • República de Colombia (2002). Decreto 1279 de Junio 19 de 2002. Por el cual se establece el régimen salarial y prestacional de los docentes de las Universidades Estatales.
  • Reskin, B. (1978). Scientific productivity, sex, and location in the institution of science. American Sociological Review, 83 (5), pp. 1235-1243
  • Smeby, J., Try, S. (2005). Departmental contexts and faculty research activity in Norway. Research in Higher Education, 46(6), pp. 593-619
  • Stephan, P. (2010). The economics of science, In: Handbook of the economics of innovation - Vol-1, Bronwyn H & Nathan Rosenberg, Acad. Press, Burlington. pp: 217-274.
  • Tang, Ch. (2010). A note on the nonlinear wages - productivity nexus for Malaysia. MPRA Paper, University Library of Munich, German.
  • Weiss, Y., Lillard, L. (1982). Output variability, academic labor contracts, and waiting times for promotion. Research in Labor Economics, 5, pp. 157–188.
  • Zuckerman, H., Merton, R. (1972). Age, aging, and age structure in science. In Riley, M., Johnson, M., Foner. A. (Eds.), Asociology of age stratification: Aging & society (Vol. 3). New York: Russel Sage foundation. (Reprinted in: Storer, N. W. (Ed.). 1973. The Sociology of Science: Collected Papers of R.K. Merton, Chicago University, Chicago Press. pp. 497–559).


Download data is not yet available.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.