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The impact of efficiency on the economic growth of emerging economies: The case of Colombia

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Listed:
  • Víctor Giménez
  • Diego Prior
  • Emili Tortosa-Ausina

Abstract

As is well established (Robinson and Acemoglu, 2012), the economic performance of countries depends on the level of quality of its institutions. Referring to the economic performance, this paper establishes the aggregate efficiency of 133 countries in the generation of GDP by using the production theory framework and considering the participation of human as well as physical capital. Additionally, it is analyzed to what extent the aggregated performance depends on the level of quality and effectiveness of the subsequent national public institutions. It is also determined whether or not the size of the public expending, and its level of efficiency, have an impact on the rate of economic growth. To conclude, the conditions to favor the public expending as a driver for economic growth are determined. After a general overview, the specific situation of Colombia is analyzed. The results confirm the importance of the quality of the institutions on the respective levels of efficiency. It is also verified how the level of efficiency is a key factor to obtain economic growth from the public spending. ****** Como está bien establecido (Robinson y Acemoglu, 2012), el desempeño económico de los países depende del nivel de calidad de sus instituciones. Con relación al desempeño económico, este artículo estima la eficiencia agregada de 133 países en la generación de producción agregada (PIB) mediante el uso del marco de referencia de la teoría de la producción y considerando la participación tanto del capital humano como el físico. Adicionalmente, se analiza hasta qué punto el desempeño agregado depende del nivel de calidad y efectividad de las subsecuentes instituciones públicas nacionales. Se establece además si el tamaño del gasto público, y su nivel de eficiencia, tienen o no un impacto en la tasa de crecimiento económico. Para finalizar, se determinan las condiciones que favorecen el gasto público como fuerza impulsora del crecimiento económico. Después de ofrecer una visión general, se analiza el caso colombiano. Los resultados confirman la importancia de la calidad de las institucines sobre los niveles de eficiencia respectivos. Se verifica además cómo el nivel de eficiencia es un factor fundamental para conseguir crecimiento económico a partir del gasto público.

Suggested Citation

  • Víctor Giménez & Diego Prior & Emili Tortosa-Ausina, 2018. "The impact of efficiency on the economic growth of emerging economies: The case of Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 86-100, April.
  • Handle: RePEc:bdr:ensayo:v:36:y:2018:i:85:p:86-100
    DOI: 10.32468/espe.8505
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    1. Pires, Jorge Oliveira & Garcia, Fernando, 2004. "Productivity of nations: a stochastic frontier approach to TFP decomposition," Textos para discussão 143, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    3. António Afonso & Ludger Schuknecht & Vito Tanzi, 2005. "Public sector efficiency: An international comparison," Public Choice, Springer, vol. 123(3), pages 321-347, June.
    4. Greene, William H., 1980. "On the estimation of a flexible frontier production model," Journal of Econometrics, Elsevier, vol. 13(1), pages 101-115, May.
    5. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    6. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    7. Daron Acemoglu & James Robinson, 2010. "The Role of Institutions in Growth and Development," Review of Economics and Institutions, Università di Perugia, vol. 1(2).
    8. K. Kalirajan, 1981. "An Econometric Analysis of Yield Variability in Paddy Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 29(3), pages 283-294, November.
    9. Henderson, Daniel & Russell, Robert, 2001. "Human Capital and Macroeconomic Convergence: A Production-Frontier Approach," Efficiency Series Papers 2001/07, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
    11. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    12. Oleg Badunenko & Diego Romero‐Ávila, 2013. "Financial Development And The Sources Of Growth And Convergence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(2), pages 629-663, May.
    13. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Hyungna Oh, 2012. "Aggregation bias in stochastic frontier models employing region-level data: an empirical analysis with Korean manufacturing data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(9), pages 813-821, June.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    18. North, Douglass C, 1994. "Economic Performance through Time," American Economic Review, American Economic Association, vol. 84(3), pages 359-368, June.
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    More about this item

    Keywords

    aggregate performance; economic growth; quality of institutions; stochastic frontier analysis; desempeño económico agregado; crecimiento económico; calidad de las instituciones; análisis de frontera estocástica;
    All these keywords.

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth

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