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Índice de eficiencia técnica de las empresas de Perú

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  • Mario D. Tello

Abstract

Ante una década de bajo nivel de productividad total factorial (PTF) en América Latina, este artículo muestra evidencias del grado de ineficiencia técnica de las empresas del sector productivo peruano. Para ello se estimaron los índices de eficiencia técnica de 116 875 empresas (83 271 formales y 33 604 informales) distribuidas en 25 regiones y diez sectores productivos (agricultura, pecuario, agropecuario, minería, pesca, manufacturas, construcción, comercio, hoteles y restaurantes, y resto de servicios no gubernamentales) obteniendo un índice promedio general de eficiencia para las regiones y sectores de Perú de 37.94 —el producto total de las empresas se multiplicaría por 2.6 sin requerir factores productivos adicionales—. Dicha cifra sugiere que intervenciones del gobierno o empresas que induzcan comportamientos técnicamente eficientes en la producción pueden contribuir a incrementar la PTF de la economía, probablemente, a menor costo y tiempo.

Suggested Citation

  • Mario D. Tello, 2022. "Índice de eficiencia técnica de las empresas de Perú," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 90(4), pages 111-151, February.
  • Handle: RePEc:col:000090:020262
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    File URL: https://revistas.uniandes.edu.co/doi/pdf/10.13043/DYS.90.4
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    References listed on IDEAS

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    1. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 88-101, April.
    2. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    3. Tracy Collins, 2019. "Pursuing efficiency: a data envelopment analysis of MFIs in Latin America," Applied Economics Letters, Taylor & Francis Journals, vol. 26(6), pages 480-484, March.
    4. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    5. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
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    More about this item

    Keywords

    Productividad; firmas formales e informales; Perú.;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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