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Dinámica industrial, crecimiento económico y PyMEs


  • Cardona Acevedo
  • Gano Gamboa, C.AS


Economic growth, viewed as a result of the dynamic where production of knowledge forms, power relations and institutions intercross, has been a preoccupation of the economic science from the different approaches and theories. This empirical-analytical study uses econometric modeling of Panel Data in the interpretation of the interrelations between sectors by company size in the industrial growth of the Colombian SME’s (small and medium enterprises). The purpose is to model the relation between the industrial growth and the variables associated to the sectorial composition and concentration and the combination of productive factors that allows the construction of relations between the social and industrial organization variables in 27 industrial sectors in the period 1980-2000.

Suggested Citation

  • Cardona Acevedo & Gano Gamboa, C.AS, 2005. "Dinámica industrial, crecimiento económico y PyMEs," Observatorio de la Economía Latinoamericana, Grupo (Universidad de Málaga), issue 50, October.
  • Handle: RePEc:erv:observ:y:2005:50:cagg

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    References listed on IDEAS

    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    3. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    4. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    5. Oxley, Les & Greasley, David, 1995. "A Time-Series Perspective on Convergence: Australia, UK and USA since 1870," The Economic Record, The Economic Society of Australia, vol. 71(214), pages 259-270, September.
    6. Andrew B. Bernard & Steven N. Durlauf, 1991. "Convergence of International Output Movements," NBER Working Papers 3717, National Bureau of Economic Research, Inc.
    7. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    8. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Papers 1227, Queen's University, Department of Economics.
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    More about this item


    SME; industrial organization; economic growth; sectorial analysis.;

    JEL classification:

    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models


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