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Technical Efficiency, Technological Development, And The Labor Productivity Gap In Mexican Manufacturing


  • Juan Carlos Chávez-Martín del Campo
  • Felipe de Jesús Fonseca-Hernández


This paper applies a stochastic frontier approach to analyze the evolution of technical efficiency in Mexican manufacturing and its effect on the labor productivity gap among states over the period 1988-2008. The model allows for heterogeneity in technological development by introducing region-specific effects in the econometric specification. The main findings of our analysis are threefold. First, technical efficiency was both increasing and converging over time and across states in a context where labor productivity was also converging. Second, there are considerable differences in the levels of technological development of the north and the central regions with respect to the south that partially explains the labor productivity gap. Third, the dynamics of technical efficiency contributed to reduce inequality in productivity among states over the analyzed period.

Suggested Citation

  • Juan Carlos Chávez-Martín del Campo & Felipe de Jesús Fonseca-Hernández, 2013. "Technical Efficiency, Technological Development, And The Labor Productivity Gap In Mexican Manufacturing," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(2), pages 43-58.
  • Handle: RePEc:eaa:eerese:v:13:y2013:i:2_4

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    References listed on IDEAS

    1. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    2. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    3. Duffy, John & Papageorgiou, Chris, 2000. "A Cross-Country Empirical Investigation of the Aggregate Production Function Specification," Journal of Economic Growth, Springer, vol. 5(1), pages 87-120, March.
    4. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2008. "Sigma Convergence versus Beta Convergence: Evidence from U.S. County-Level Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 1083-1093, August.
    5. Kneller, Richard & Andrew Stevens, Philip, 2003. "The specification of the aggregate production function in the presence of inefficiency," Economics Letters, Elsevier, vol. 81(2), pages 223-226, November.
    6. Kumbhakar, Subal C. & Wang, Hung-Jen, 2005. "Estimation of growth convergence using a stochastic production frontier approach," Economics Letters, Elsevier, vol. 88(3), pages 300-305, September.
    7. 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.
    8. Frauke G. Braun & Astrid Cullmann, 2011. "Regional Differences of Production and Efficiency of Mexican Manufacturing: An Application of Nested and Stochastic Frontier Panel Models," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 291-311, July-Dece.
    9. Antonio Alvarez, 2007. "Decomposing regional productivity growth using an aggregate production frontier," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 431-441, June.
    10. Mercedes Gumbau-Albert, 2000. "Efficiency and technical progress: sources of convergence in the Spanish regions," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 467-478.
    11. Schmutzler, Armin, 1999. " The New Economic Geography," Journal of Economic Surveys, Wiley Blackwell, vol. 13(4), pages 355-379, September.
    12. Bannister, Geoffrey J. & Stolp, Chandler, 1995. "Regional concentration and efficiency in Mexican manufacturing," European Journal of Operational Research, Elsevier, vol. 80(3), pages 672-690, February.
    13. Scott Merryman, 2010. "FRONTIER_TECI: Stata module to generate technical efficiency confidence intervals," Statistical Software Components S4571691, Boston College Department of Economics, revised 17 Sep 2014.
    14. 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.
    15. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, March.
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    More about this item


    Manufacturing; Mexican regions; Labor productivity; Stochastic frontier; Structural efficiency; Technical efficiency.;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure


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