The paper aims to estimate efficiency of watermelon by using a bootstrapping approach to generating efficiency estimates through Monte Carlo simulation resampling process. We use the input-output data for watermelon 107 farmers. The main results are as follows. The estimates of efficiency depends on the methodology. The estimates of general DEA is greater than the bootstrapping method. The technical efficiency and pure technical efficiency measure of watermelon is 0.72, 0.82 respectively. However the bias-corrected estimates are less than those of DEA. We know that the DEA estimator is an upward biased estimator. According to these results, the DEA bootstrapping model used here provides bias-corrected and confidence intervals for the point estimates, it is more preferable.

Ⅰ. 서 론
 Ⅱ. 효율성 분석모형
  1. 자료포락분석
  2. 부트스트래핑 분석모형
 Ⅲ. 분석변수 및 자료
  1. 분석변수
  2. 분석자료
 Ⅳ. 분석결과
  1. 기술효율성 추정치
 Ⅴ. 요약 및 결론
 References

• 이상호(영남대학교 식품경제외식학과 부교수) | Lee, Sang-Ho Corresponding author