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This paper employs stochastic frontier mroduction models to an unbalanced panel data with fifty three iron companies during the period of 1978-2002. The technical efficiency decrepancy between the sample iron companies is found to be statistically significant and technical progress in the industry is found during the sample period. According to the empirical results from the effects model, privitization and size influence on technically efficiency positively, but merging soes not have statistically significant effect on efficiency.