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http://dx.doi.org/10.11625/KJOA.2018.26.1.33

An Analysis of the Efficiency of Watermelon Using the Bootstrapping DEA Model  

Lee, Sang-Ho (영남대학교 식품경제외식학과)
Publication Information
Korean Journal of Organic Agriculture / v.26, no.1, 2018 , pp. 33-41 More about this Journal
Abstract
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.
Keywords
data envelopment analysis; bootstrapping; confidence intervals;
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  • Reference
1 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.
2 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.
3 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.
4 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.
5 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.
6 Simar, L. and P. W. Wilson. 2000. Statistical Inference in Nonparametric Frontier Models: the State of the Art. Journal of Productivity Analysis. 13: 49-78.   DOI