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Analysis of the relative efficiency in the trade balance of the departments of Colombia

Author

Listed:
  • Sara Ximena Pinto Duarte

    (Corporación Universitaria Alexander von Humboldt)

  • Nolberto Gutiérrez Posada

    (Corporación Universitaria Alexander von Humboldt)

  • Julio Ernesto Camargo Bejarano

    (Corporación Universitaria Alexander von Humboldt)

Abstract

Introduction:This study analyzed indicators from Colombian departments to establish the inputs and outputs necessary for Data EnvelopmentAnalysis (DEA). The trade balance served as the basis for this study, as it is a key indicator ofregional economic performance. Objective:Key trade balance indicators were identified and analyzed, as well as other relevant factors influencingdepartmental economic efficiency. Methodology: A quantitative and descriptive approach was used to collect and organize data from the last five years, aimed atunderstanding logistics infrastructure and trade flows. Results: The findings revealeda high concentration of efficiency in the central and western departments of the country, revealing marked structural differences between regions. Discussion: The quality and inconsistencyof the different official database sources represented the main obstacle to the study. This indicatedthat the greatest challenge was collectingand constructinga reliable database prior to the application of the analytical model.Conclusion:A structured and comprehensive database was successfully developed, which wasessential for the subsequent stages of the study and for the analysis of the commercialefficiency of Colombian departments, with Bogotá emerging as the most efficient city.

Suggested Citation

  • Sara Ximena Pinto Duarte & Nolberto Gutiérrez Posada & Julio Ernesto Camargo Bejarano, 2026. "Analysis of the relative efficiency in the trade balance of the departments of Colombia," Revista Tendencias, Universidad de Narino, vol. 27(1), pages 1-25, January.
    • Handle: RePEc:col:000520:022218
    DOI: 0000-0001-7294-2353
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    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • F10 - International Economics - - Trade - - - General
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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