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Bounded learning-by-doing and sources of firm level productivity growth in colombian food manufacturing industry

Author

Listed:
  • Apurba Shee

    (Environment and Production Technology Division, International Food Policy Research Institute)

  • Spiro E. Stefanou

    (University of Florida
    Wageningen University)

Abstract

This paper models the bounded learning concept with the learning progress function characterized by the degree of efficiency and the specification of the learning progress as a logistic function capturing both the slow start-up and the limit in learning progress. We differentiate learning efficiency from the technical efficiency. The endogeneity corrected stochastic frontier model is then used to decompose the factor productivity growth into components associated with technological change, technical efficiency, scale, and learning. This productivity growth decomposition provides useful information and policy level insight in firm-level productivity analysis. Empirical results based on plant-level panel data on the Colombian food manufacturing industry for the period 1982–1998 suggest that productivity growth not only stems from technical progress, technical efficiency change, and scale but also from significant learning effect. The relative importance of the productivity growth components provides perspective for efficient resource allocation within the firm.

Suggested Citation

  • Apurba Shee & Spiro E. Stefanou, 2016. "Bounded learning-by-doing and sources of firm level productivity growth in colombian food manufacturing industry," Journal of Productivity Analysis, Springer, vol. 46(2), pages 185-197, December.
  • Handle: RePEc:kap:jproda:v:46:y:2016:i:2:d:10.1007_s11123-016-0481-3
    DOI: 10.1007/s11123-016-0481-3
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    1. Eric D. Darr & Linda Argote & Dennis Epple, 1995. "The Acquisition, Transfer, and Depreciation of Knowledge in Service Organizations: Productivity in Franchises," Management Science, INFORMS, vol. 41(11), pages 1750-1762, November.
    2. Ronald S. Jarmin, 1994. "Learning by Doing and Competition in the Early Rayon Industry," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 441-454, Autumn.
    3. Young, Alwyn, 1993. "Invention and Bounded Learning by Doing," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 443-472, June.
    4. Guy David & Tanguy Brachet, 2011. "On the Determinants of Organizational Forgetting," American Economic Journal: Microeconomics, American Economic Association, vol. 3(3), pages 100-123, August.
    5. Peter Thompson, 2007. "How Much Did the Liberty Shipbuilders Forget?," Management Science, INFORMS, vol. 53(6), pages 908-918, June.
    6. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    7. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    8. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    9. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    10. Boyan Jovanovic & Yaw Nyarko, 1995. "A Bayesian Learning Model Fitted to a Variety of Empirical Learning Curves," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 247-305.
    11. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    12. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    13. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    14. Bahk, Byong-Hong & Gort, Michael, 1993. "Decomposing Learning by Doing in New Plants," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 561-583, August.
    15. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
    16. Spiro E. Stefanou & Swati Saxena, 1988. "Education, Experience, and Allocative Efficiency: A Dual Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(2), pages 338-345.
    17. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    18. Marvin B. Lieberman, 1984. "The Learning Curve and Pricing in the Chemical Processing Industries," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 213-228, Summer.
    19. Peter Thompson, 2001. "How Much Did the Liberty Shipbuilders Learn? New Evidence for an Old Case Study," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 103-137, February.
    20. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63, Elsevier.
    21. Apurba Shee & Spiro E. Stefanou, 2015. "Endogeneity Corrected Stochastic Production Frontier and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 939-952.
    22. Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December.
    23. Leibenstein, Harvey, 1979. "A Branch of Economics is Missing: Micro-Micro Theory," Journal of Economic Literature, American Economic Association, vol. 17(2), pages 477-502, June.
    24. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    25. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    26. Malerba, Franco, 1992. "Learning by Firms and Incremental Technical Change," Economic Journal, Royal Economic Society, vol. 102(413), pages 845-859, July.
    27. Sherwin Rosen, 1972. "Learning by Experience as Joint Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 86(3), pages 366-382.
    28. Sangho Kim & Gwangho Han, 2001. "A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 16(3), pages 269-281, November.
    29. Dennis Epple & Linda Argote & Kenneth Murphy, 1996. "An Empirical Investigation of the Microstructure of Knowledge Acquisition and Transfer Through Learning by Doing," Operations Research, INFORMS, vol. 44(1), pages 77-86, February.
    30. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    31. Stigler, George J, 1976. "The Xistence of X-Efficiency," American Economic Review, American Economic Association, vol. 66(1), pages 213-216, March.
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    2. Taguchi, Hiroyuki, 2022. "Manufacturing exports and institutional qualities: The case of central Asian countries," MPRA Paper 113585, University Library of Munich, Germany.
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    More about this item

    Keywords

    Colombian food manufacturing industry; Bounded learning-by-doing; Endogeneity corrected stochastic frontier; Firm-level productivity growth; Decomposition of productivity growth;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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