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Technical and Structural Efficiency in Mexican Manufacturing: A Regional Approach

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  • Chávez Juan Carlos
  • Fonseca Felipe J.

Abstract

This paper applies a stochastic frontier approach to analyze the evolution of technical efficiency in manufacturing as a source of regional growth, taking as a unit of analysis the Mexican states in the period 1988-2008. The main findings of our analysis are threefold. First, technical efficiency was increasing over the analyzed period and acted as a mechanism to reduce the labor productivity gap across states. Second, Mexican regions can increase manufacturing production about one third, on average, using the same amount of inputs which implies ample potential for regional growth. Third, there exists a considerable difference in the level of technological development, measured in terms of structural efficiency, of the north and the central regions with respect to the south that partially explains the labor productivity gap among regions.

Suggested Citation

  • Chávez Juan Carlos & Fonseca Felipe J., 2012. "Technical and Structural Efficiency in Mexican Manufacturing: A Regional Approach," Working Papers 2012-03, Banco de México.
    • Handle: RePEc:bdm:wpaper:2012-03
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    References listed on IDEAS

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    1. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Schmutzler, Armin, 1999. "The New Economic Geography," Journal of Economic Surveys, Wiley Blackwell, vol. 13(4), pages 355-379, September.
    7. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    8. 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.
    9. Ernesto López-Córdova, 2003. "NAFTA and Manufacturing Productivity in Mexico," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2003), pages 55-98, August.
    10. 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.
    11. 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.
    12. 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.
    13. Armin Schmutzler, 1999. "The New Economic Geography," Journal of Economic Surveys, Wiley Blackwell, vol. 13(4), pages 355-379, September.
    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.
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    Cited by:

    1. Antonio Álvarez-Pinilla & Rafael Garduño-Rivera & Héctor M. Núñez, 2015. "Estimating the Technical Efficiency of Mexican States," Working papers DTE 588, CIDE, División de Economía.

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    More about this item

    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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