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.