The Relative Efficiency of the Real Sector versus the Financial Sector of the Colombian Economy




Data Envelopment Analysis (DEA), finance and trade, financial institutions, non-financial institutions, total factor productivity.


The objective of this research is to compare the companies of the real sector of the economy and the entities of the Colombian financial sector for the year 2014, in terms of relative efficiency, through the application of the Data Envelopment Analysis (DEA) methodology. For a country like Colombia, belonging to the emerging economies, it is important to conduct this study to determine how far these two sectors are efficient or inefficient, given the importance they have in generating development and reducing social inequalities. We take as source of information the Superintendencia de Sociedades and the Superintendencia Financiera. 26,799 companies in the real sector and financial sector entities 254 were analyzed resulting in better indicators for the financial sector and within this, the insurance industry stands. However it is necessary that these two sectors improve their performance to the extent that only 2.6% of studied companies and entities are efficient.


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Adler, N., Yazhemsky, E. & Tarverdyan, R. (2010). A Framework to Measure the Relative Socio-Economic Performance of Developing Countries. Socio-Economic Planning Sciences, 44(2), 73-88. DOI:

Alhassan, A. L. & Ohene-Asare, K. (2016). Competition and Bank Efficiency in Emerging Markets: Empirical Evidence from Ghana. African Journal of Economic and Management Studies, 7(2), 268-288. DOI:

Almanza-Ramírez, C. (2012). Cost Efficiency in the Banking System in Colombia, 1999-2007: A Non-Parametric Approach. Innovar, 22(44), 67-78.

Andrade, S. (2005). Diccionario de economía. Lima, Perú: Editorial Andrade.

Banker, R. D., Charnes, A. & Cooper, W. W. (1984). Some Models for the Estimation of Technical and Scale Efficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. DOI:

Cayón, E. & Sarmiento, J. (2011). Measuring Relative Efficiencies in the Shoe Industry Sector in Colombia: A DEA Approach. Pensamiento & Gestión, (30), 186-205. Retrieved July 29, 2016, from

Chan, S. & Abd Karim, M. Z. (2016). Financial Market Regulation, Country Governance, and Bank Efficiency: Evidence from East Asian Countries. Contemporary Economics, 10(1), 39-54. DOI:

Charnes, A., Cooper, W. W., Golany, B., Seiford, L. & J. Stutz (1984). Foundations of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions. In CCS Research Report 504 (pp. 1-28). Austin, TX: Center for Cybernetic Studies, The University of Texas at Austin. DOI:

Charnes, A., Cooper, W. W., Lewin, A. & Seiford, L. M. (1994). Data Envelopment Analysis: Theory, Metrodology, and Application. Boston: Kluwe Academic Publishiers. DOI:

Charnes, A., Cooper, W. W. & Rhodes, E.L. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operation Research, 2(6), 429-444. DOI:

Chiavenato, I. (2004). Introducción a la teoría general de la administración (7 ed.). México: McGraw-Hill Interamericana.

Chortareas, G. E., Garza-García, J. G. & Girardone, C. (2012). Competition, Efficiency and Interest Rate Margins in Latin American Banking. International Review of Financial Analysis, 24, 93-103. DOI:

Cronjé, T. & de Beer, J. (2010). Combining Efficiency with ROA: Indicator of Future Relative Performance-South African Banking Groups. Corporate Ownership and Control, 7(4 C), 287-296. DOI:

Cotte, A. (2012). Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of Dynamic Data Envelopment Analysis and Data Panel Approach. Social Indicators Research, 105(3), 343-366. DOI:

De Oliveira, R. (2002). Teorías de la administración. México: International Thomson.

Estrada, S., Song, H., Kim, Y., Namnb, S. & Kang, S. (2009). A Method of Stepwise Benchmarking for Inefficient DMUs Based on the Proximity-Based Target Selection. Expert Systems with Applications 36, 11595–11604. DOI:

Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, Series (A), 120(3), 253-281. DOI:

Fontalvo, T., Mendoza, A. & Visbal, D. (2015). Análisis comparativo de eficiencia financiera: estudio de un caso del sector BASC en Barranquilla. Prospectiva, 13(2), 16-24. Recuperado de DOI:

Hahn, F. (2009). A Note on Management Efficiency and International Banking. Some Empirical Panel Evidence. Journal of Applied Economics., 12(1), 69-81. DOI:

Jiang, L., Jiang, Y., Wu, Z., Liao, D. & Xu, R. (2015). The Measurement of Innovation Efficiency of Chinese High-Tech Industry Using Data Envelopment Analysis. Acta Oeconomica, 65, 101-113. doi:10.1556/032.65.2015.S2.8 DOI:

Koontz, H. & Weihrich, H. (2004). Administración. Una perspectiva global (12 ed.). México: McGraw-Hill Interamericana.

Koopmans, T. C. (1951). Analysis of Production as an Efficient Combination of Activities. In T.C. Koopmans (Ed.) Activity Analysis of Production and Allocation (pp. 33-97). New York: John Wiley and Sons.

Li, S. K. & Zhao, L. (2015). The Competitiveness and Development Strategies of Provinces in China: A Data Envelopment Analysis Approach. Journal of Productivity Analysis, 44(3), 293-307. doi:10.1007/s11123-015-0445-z DOI:

Mankiw, G. (2004). Economía. Madrid: McGraw-Hill Interamericana.

Moreno, J., López, O. & Díaz, J. (2014). Productividad, eficiencia y sus factores explicativos en el sector de la construcción en Colombia 2005-2010. Cuadernos de Economía, 33(63), 569-588. Recuperado de DOI:

Nguyen, T. P. T., Nghiem, S. H., Roca, E. & Sharma, P. (2016). Bank Reforms and Efficiency in Vietnamese Banks: Evidence Based on SFA and DEA. Applied Economics, 48(30), 2822-2835. doi:10.1080/00036846.2015.1130788 DOI:

Poveda, A. C. (2013). Corruption, Economic Development, and Insecurity in Colombia. In Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis (pp. 373-387). DOI:

Robbins, S. & Coulter, M. (2005). Administración (8 ed.). México: Pearson Educación.

Rodríguez, G.I. (2003). Medición de la eficiencia relativa en dos subsectores de la economía colombiana desde 1993 a 2002 utilizando Data Envelopment Analysis (DEA). Innovar, 13(22), 121-136. Recuperado de

Rodríguez, G.I. (2016). Indicadores DEA para las actividades de extensión universitaria. Aplicación a la Universidad Nacional de Colombia (2.ª ed.). Bogotá: Universidad Nacional de Colombia, Facultad de Ciencias Económicas.

Saberi, M., Mirtalaie, M, Hussain, F., Azadeh, A., Hussain, O. & Ashjari, B. (2013). A granularcomputing-basedapproachtocreditscoringmodeling. Neurocomputing, 122 100–115. DOI:

Samuelson, P. & Nordhaus, W. (2002). Economía. Madrid: McGraw Hill.

Seffino, M. & Hoyos, D. (2016). Eficiencia bancaria en Argentina. Comportamiento de los bancos entre 2005 y 2013. Estudios Gerenciales, 32(138), 44-50. Recuperado de DOI:

Škare, M. & Rabar, D. (2016). Measuring Economic Growth Using Data Envelopment Analysis. Amfiteatru Economic, 18(42), 386-406.

Superintendencia de Sociedades. (s.f.). Recuperado de

Superintendencia Financiera de Colombia. (s.f.) Bogotá. Recuperado de:

Thanassoulis, E., Boussofiane, A. & Dyson, R. (1996). A Comparison of Data Envelopment Analysis and Ratio Analysis as Tools for Performance Assessment. Omega, Int. J. Mgmt Sci., 24(3), 229-244. DOI:

Vargas, J.J. (2016). Planteamiento y solución de un modelo DEA estocástico para datos

longitudinales con estructura de antedependencia. Bogotá: Universidad Nacional de Colombia.

Wanga, W., Lu, W. & Liu, P. (2014). A Fuzzy Multi-Objective Two-Stage DEA Model for Evaluating the Performance of US Bank Holding Companies. Expert Systems with Applications 41, 4290–4297. DOI:



How to Cite

Rodriguez Lozano, G. I., & Sarmiento Muñoz, M. H. (2017). The Relative Efficiency of the Real Sector versus the Financial Sector of the Colombian Economy. Apuntes Del Cenes, 36(64), 111–138.



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