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Infrastructure And Production Efficiency: An Analysis On The Korean Manufacturing Industry

Author

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  • SANGHO KIM
  • JAEWOON KOO
  • YOUNG HOON LEE

Abstract

This study estimates an aggregate production function of manufacturing industry using panel data of 11 Korean regions covering 1977–1992. While the previous studies regard infrastructure as a direct input for production, the present study proposes that infrastructure has an effect on actual output by enhancing technical efficiency thereby, reducing the gap between maximum potential output and actual output. To investigate the relationship between infrastructure and technical efficiency, a stochastic frontier approach is applied to Korean manufacturing industry. Confirming the presence of substantial technical inefficiency in production, this study shows that an increase in infrastructure reduces the technical inefficiency level. The study also finds that, contrary to expectation, the industrialized regions are less efficient than the less industrialized ones. (JEL O20, H54, C23)

Suggested Citation

  • Sangho Kim & Jaewoon Koo & Young Hoon Lee, 1999. "Infrastructure And Production Efficiency: An Analysis On The Korean Manufacturing Industry," Contemporary Economic Policy, Western Economic Association International, vol. 17(3), pages 390-400, July.
    • Handle: RePEc:bla:coecpo:v:17:y:1999:i:3:p:390-400
    DOI: 10.1111/j.1465-7287.1999.tb00691.x
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    References listed on IDEAS

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    Cited by:

    1. Elias Sanidas & Hyeri Park, 2011. "Korean Augmented Production Function: The Role Of Services And Other Factors In Korea¡¯S Economic Growth Of Industries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 36(1), pages 59-85, March.
    2. Becerril-Torres, Osvaldo U. & Álvarez-Ayuso, Inmaculada C. & Del moral-Barrera, Laura E., 2010. "Do infrastructures influence the convergence of efficiency in Mexico?," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 120-137, January.
    3. Akihiro Otsuka, 2017. "Regional determinants of total factor productivity in Japan: stochastic frontier analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(3), pages 579-596, May.
    4. Dipa Mukherjee & Rajarshi Majumder, 2007. "Efficiency, technological progress and regional comparative advantage: a study of the organized manufacturing sector in India," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 14(2), pages 23-54, December.

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    More about this item

    JEL classification:

    • O20 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - General
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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