Korean Journal of Organic Agriculture (한국유기농업학회지)

Korean Association of Organic Agriculture (한국유기농업학회)
권호 표지
DOI QR코드

DOI QR Code

An Analysis on Efficiency for the Environmental Friendly Agricultural Product of Strawberry in GyeongBuk Province

경북지역 친환경딸기 농가의 인증유형에 따른 효율성 분석

  • 이상호 (순천대학교 농업경제학과) ;
  • 송경환 (순천대학교 농업경제학과)
  • Received : 2013.11.07
  • Accepted : 2013.12.03
  • Published : 2013.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to estimate efficiency of environmental-friendly agricultural product by using Data Envelopment Analysis. A proposed method employs a bootstrapping approach to generating efficiency estimates through Monte Carlo simulation resampling process. The technical efficiency, pure technical efficiency, and scale efficiency measure of strawberry by pesticide-free certification is 0.967, 0.995, 0.968 respectively. However those of bias-corrected estimates are 0.918, 0.983, 0.934. We know that the DEA estimator is an upward biased estimator. In technical efficiency, average lower and upper confidence bounds of 0.807 and 0.960. According to these results, the DEA bootstrapping model used here provides bias-corrected and confidence intervals for the point estimates, it is more preferable.

Keywords

References

  1. Boussofiane, A., R. G. Dyson, and E. Thanassoulis. 1991. Applied Data Envelopment Analysis. European Journal of Operational Research. 52: 1-15. https://doi.org/10.1016/0377-2217(91)90331-O
  2. Charnes, A., W. W. Cooper, and E. L. Rhodes. 1978. Measuring the Efficiency of Decision Making Units. European Journal of Operational Research. 19: 273-292.
  3. Charnes, A., W. W. Cooper, and R. M. Thrall. 1986. Classifying and Characterizing Efficiencies and Inefficiencies in Data Envelopment Analysis. Oper. Res. Letters. 5: 105-110. https://doi.org/10.1016/0167-6377(86)90082-9
  4. Farrell, M. J. 1957. The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, Series A, General, 120(3): 253-281. https://doi.org/10.2307/2343100
  5. Fitzsimmons, J. A. and M. J. Fitzsimmons. 1994. Service Management for competitive Advantage, Mc Graw-Hill Inc.
  6. Kwon, O. S. and H. H. Kim. 2009. Measuring Marketing Organization's Performance and Identifying its Determinants using Stochastic DEA and FDH. Korean Journal of Agricultural Economics. 50(2): 69-95.
  7. Min, J. H. and H. J. Kim. 1999. A Nonparametric Test on Mean Difference of DEA Efficiency Estimates - Bootstrapping Approach. Journal of the Korean Operations Research and Management Science Society. 24(2): 53-68.
  8. Lee, S. H. and J. H. Park. 2013, An Analysis of the Efficiency for the Horticultural Greenhouse by Heating System. Korean Journal of Agricultural Economics. 54(1): 39-53.
  9. Lee, S. H. 2011. An Analysis of the Efficiency of Item-based Agricultural Cooperative Using the DEA Model. Journal of Agriculture & Life Science. 45(6): 279-289.
  10. Lee, S. S., C. S. Kim, and S. H. Lee. 2001. An Analysis on the Efficiency of Apple Production in Environmental Agriculture Using DEA. Korean Journal Of Agricultural Economics. 42(2): 51-65.
  11. Simar, L. and V. Zelenyuk. 2010. Stochastic FDH/DEA estimators for frontier analysis. Discussion paper 0820. Institut de Statistique, UCL, in press Journal of Productivity Analysis.