IDEAS home Printed from https://ideas.repec.org/a/bdr/ensayo/v36y2018i85p86-100.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/espe.8505
    Download Restriction: no
    File URL: https://libkey.io/10.32468/espe.8505?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. António Afonso & Ludger Schuknecht & Vito Tanzi, 2005. "Public sector efficiency: An international comparison," Public Choice, Springer, vol. 123(3), pages 321-347, June.
    3. 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.
    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. 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.
    12. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    2. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    3. Federica VIGANO & Andrea SALUSTRI, 2015. "Matching profit and Non-profit Needs: How NPOs and Cooperative Contribute to Growth in Time of Crisis. A Quantitative Approach," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(1), pages 157-178, March.
    4. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    5. Jianjun Tang & Henk Folmer & Arno J. Vlist & Jianhong Xue, 2014. "The impacts of management reform on irrigation water use efficiency in the Guanzhong plain, China," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 455-475, June.
    6. Quaranta, Anna Grazia & Raffoni, Anna & Visani, Franco, 2018. "A multidimensional approach to measuring bank branch efficiency," European Journal of Operational Research, Elsevier, vol. 266(2), pages 746-760.
    7. Alwin Keil & Alwin D’souza & Andrew McDonald, 2015. "Zero-tillage as a pathway for sustainable wheat intensification in the Eastern Indo-Gangetic Plains: does it work in farmers’ fields?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(5), pages 983-1001, October.
    8. Massimiliano Piacenza, 2002. "Regulatory Constraints and Cost Efficiency of the Italian Public Transit Systems: An Exploratory Stochastic Frontier Model," CERIS Working Paper 200202, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    9. Sedik, David & Trueblood, Michael & Arnade, Carlos, 1999. "Corporate Farm Performance in Russia, 1991-1995: An Efficiency Analysis," Journal of Comparative Economics, Elsevier, vol. 27(3), pages 514-533, September.
    10. Evenson, Robert E. & Kimhi, Ayal & Desilva, Sanjaya, 2000. "Supervision And Transaction Costs: Evidence From Rice Farms In Bicol, The Philippines," 2000 Annual meeting, July 30-August 2, Tampa, FL 21788, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    12. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    13. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    14. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    15. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    16. Lachaal, Lassaad & Chebil, Ali & Dhehibi, Boubaker, 2004. "A Panel Data Approach to the Measurement of Technical Efficiency and its Determinants: Some Evidence from the Tunisian Agro-Food Industry," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(01), pages 1-9, January.
    17. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    18. Olesen, Ole B. & Petersen, Niels Christian, 2016. "Stochastic Data Envelopment Analysis—A review," European Journal of Operational Research, Elsevier, vol. 251(1), pages 2-21.
    19. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    20. Ángel Martín-Román & Alfonso Moral, 2017. "A methodological proposal to evaluate the cost of duration moral hazard in workplace accident insurance," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1181-1198, December.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdr:ensayo:v:36:y:2018:i:85:p:86-100. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Clorith Angélica Bahos Olivera (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.