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2013•RePEc: Research Papers in EconomicsOpen access

What Drives the Productivity Change of the Korean Food Processing Industry?: A Stochastic Frontier Analysis Using Firm-Level Panel Data, 2001-2009

Hye Jung Kang, Ji Hyeon Choi, Kang, Hye-Jung, Choi, Ji-Hyeon

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Abstract

This article conducts an analysis on changes in productivity in Korean major food processing industries (meat processing industry, milk processing industry, and pickle industry) with the financial data over the five years from 2001 to 2009. Measurements are obtained from the estimation of a stochastic production function. The results find that technical change and allocative efficiency have led significant productivity changes in the three industries. Especially, pickle industry experienced a higher rate of productivity growth by a greater rate of technical change and allocative efficiency. Accordingly, the technical progress and efficient resource allocation resulting from greater investment in R&D and stable supply of raw materials are required for enhancement of productivity in the Korean food processing industry.

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This article conducts an analysis on changes in productivity in Korean major food processing industries (meat processing industry, milk processing industry, and pickle industry) with the financial data over the five years from 2001 to 2009. Measurements are obtained from the estimation of a stochastic production function. The results find that technical change and allocative efficiency have led significant productivity changes in the three industries. Especially, pickle industry experienced a higher rate of productivity growth by a greater rate of technical change and allocative efficiency. Accordingly, the technical progress and efficient resource allocation resulting from greater investment in R&D and stable supply of raw materials are required for enhancement of productivity in the Korean food processing industry.

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Available abstract

This article conducts an analysis on changes in productivity in Korean major food processing industries (meat processing industry, milk processing industry, and pickle industry) with the financial data over the five years from 2001 to 2009. Measurements are obtained from the estimation of a stochastic production function. The results find that technical change and allocative efficiency have led significant productivity changes in the three industries. Especially, pickle industry experienced a higher rate of productivity growth by a greater rate of technical change and allocative efficiency. Accordingly, the technical progress and efficient resource allocation resulting from greater investment in R&D and stable supply of raw materials are required for enhancement of productivity in the Korean food processing industry.

Key concepts: Allocative efficiency, Productivity, Food processing, Panel data, Technical change, Industrial organization, Stochastic frontier analysis, Upstream (networking)

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