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Productivity Growth in Korean Agriculture, 1998-2002: Analysis of Multi- Output Production Technolog

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  • Hyejung Kang

    (Korea Rural Economic Institute)

Abstract

This article analyzes the productivity growth in Korean agriculture with data on multiple crops, over the five years, from 1998 to 2002. Measurements are obtained from the estimation of a stochastic multi-output distance function. This study corrects for sample selection bias in the context of a translog functional form that appears when some farms produce only a subset of the potential outputs. The results find that technological change has caused a significant productivity change. Larger farms experience the highest rate of productivity growth by the greatest rate of scale effect. More human capital also leads higher productivity growth rates.

Suggested Citation

  • Hyejung Kang, 2007. "Productivity Growth in Korean Agriculture, 1998-2002: Analysis of Multi- Output Production Technolog," Korean Economic Review, Korean Economic Association, vol. 23, pages 433-457.
    • Handle: RePEc:kea:keappr:ker-200712-23-2-09
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    References listed on IDEAS

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    Cited by:

    1. Kang, Hye-Jung & Choi, Ji-Hyeon, 2013. "What Drives the Productivity Change of the Korean Food Processing Industry?: A Stochastic Frontier Analysis Using Firm-Level Panel Data, 2001-2009," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 36(1), pages 1-20, May.

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    More about this item

    Keywords

    Agriculture Productivity growth; Panel data; Stochastic frontier production function; Multi-output production technology; Sample selection bias;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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