• 유통과학연구
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• 제15권11호
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• pp.49-57
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• 2017

Purpose - In Korea, general super markets have a great impact on the market performance of traditional markets. We propose a modified two stage DEA model for evaluating the performance of traditional markets in Incheon, Korea by identifying the influence of external environmental factors including the presence of general super markets as non-discretionary variables in DEA. Research design, data, and methodology - After obtaining bias-corrected estimates of original DEA efficiency scores using the input and output data of 49 traditional markets, we regress them on several external environmental factors by bootstrap-truncated regression. Results - We obtain bias-corrected efficiency scores from the original DEA efficiency scores by bootstrap and among the five environmental factors, the residential population and the presence of general super markets or SSMs can be considered as the driving forces influencing bias-corrected efficiency scores, positively and negatively, respectively. Conclusions - When DEA efficiency scores tend to be overestimated, we need to use a biased-corrected efficiency score by bootstrap. It is important to note that the efficiency of traditional markets can be largely influenced by external environmental factors such as the presence of general super markets or SSMs that traditional markets can not control. Therefore, it is desirable to consider such environmental factors appropriately for a reasonable performance evaluation.

• 한국유기농업학회지
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• 제26권1호
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• pp.33-41
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• 2018

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.

• 농업생명과학연구
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• 제45권6호
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• pp.279-289
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• 2011

이 논문에서는 부트스트래핑 DEA 모형을 이용하여 품목농협의 효율성 분석 값의 통계적 유의성을 분석하였다. 분석결과, 첫째, 일반적 DEA모형에 의한 기술효율성은 0.878로 추정된 반면, 부트스트래핑 기법을 적용하면 0.804로 추정되었다. 그러나 두 값의 차이는 신뢰구간 범위 내에 있기 때문에 통계적으로는 유의하지 않다. 또한 95% 유의수준하에서 기술효율성의 통계적 신뢰수준은 0.726에서 0.874로 분석되었다. 둘째, 일반적 DEA모형에서 효율적인 품목농협으로 추정된 19개 농협 모두 부트스트래핑 기법을 적용한 경우 비효율적인 것으로 추정되었다. 이는 일반적 DEA모형의 경우 비효율적인 품목농협이 효율적인 것으로 추정될 수 있다는 것이다.

• 한국유기농업학회지
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• 제21권4호
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• pp.487-500
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• 2013

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.

• 수산경영론집
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• 제47권1호
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• pp.63-86
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• 2016

The purpose of this study is to investigate production efficiency of Oceans and Fisheries Human Resources Development Programs Efficiency using Bootstrap-DEA. The study extracts 33 officials curriculum, 11 fisheries managers curriculum for its analytical. First, the study estimates technical, pure technical, and scale efficiency of each curriculums based on traditional DEA under the assumption of CRS and VRS. 8(official 7, managers 1) curriculums are identified as efficient DMUs under the CCR-model, and 13(official 10, managers 3) under the BCC-model. We provide inputs that allow inefficient curriculum to be efficient DMUs on a production frontier, and a reference set for their bench-marking. Second, rank test, Wilcoxon-Mann-Whitney test to find a statistical significance of heterogeneity existing in efficiences between Bootstrap-DEA tenical vs Bootstrap-DEA pure technical was no significant difference. We have identified that G10, 11, 12 13, 25, 31, 33, 39 curriculums are the most efficiently produced in the technical and pure technical efficiency. Also we managed to measure the inefficiency which exists in efficiently produced curriculums when estimating the bias corrected efficiency scores. In Technical efficiency, Operation and facility was significant at the 10%. In Pure technical efficiency, facility was significant at the 10%.

• 한국콘텐츠학회논문지
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• 제15권5호
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• pp.475-487
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• 2015

본 연구에서는 부트스트랩 DEA를 이용하여 2013년 14개 공기업의 경영 효율성을 분석하였다. 또한 단절회귀분석을 이용하여 부트스트랩 편의조정 효율성에 영향을 미치는 요인을 분석하였다. 본 연구를 통해 도출된 결과와 시사점을 정리하면 다음과 같다. 첫째, 부트스트랩 DEA모형을 적용한 효율성 분석결과에 따르면 평균 기술효율성이 0.3182, 평균 순수기술효율성이 0.4994, 평균 규모효율성이 0.6585로 나타났으며, 기술비효율성의 주된 원인이 순수기술비효율성에 기인하는 것으로 분석되었다. 둘째, CRS 가정과 VRS 가정하의 일반 DEA모형을 적용한 TE와 부트스트랩 DEA모형을 적용한 TE 순위간에는 유의한 차이가 없는 것으로 나타났다. 셋째, 비효율원인 분석에서는 평가대상 14개 기관 중 11개 기관의 비효율원인이 순수기술에 더 크게 기인하고 있고, 3개 기관이 규모효율에 의해 비효율이 나타나는 것으로 분석되었다. 넷째, 단절회귀분석에서는 규모효율성에 영향을 미치는 요인으로 유의수준 10%에서 인건비, 영업이익, 매출액, 자기자본수익률, 종원원수 순으로 나타났다.

• 수산경영론집
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• 제43권2호
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• pp.79-94
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• 2012

The purpose of this study is to investigate the production efficiencies of the Korean aquaculture fishery with respect to species and methods using a Data Envelopment Analysis. The study extracted the 8 fishes in each of the sea cage culture, aquarium basin, and enclosed aquaculture for the analytical purposes. First, the study estimated the technical, pure technical, and scale efficiencies of the total of 24 aquaculture fishes based on the traditional DEA under the assumptions of both CRS and VRS. 2 fishes were identified as the efficient DMUs under the CCR-model, and 6 fishes under the BCC-model. Second, we tested to see if there was any difference in production efficiencies regarding those three different methods of aquaculture. we could not find any evidence of the differences in efficiency using a rank sum test based on the traditional DEA. However, we could do find that the pure technical efficiency in the sea cage culture was lower than others at 1% level of significance and the pure technical efficiency in enclosed aquaculture was also lower than others at 5% level of significance using Bilateral-DEA, which could explicitly consider the heterogeneity in the 3 production methods of aquaculture. Finally, the study obtained the 95% confidence intervals of the efficiency scores for the 24 fishes under our study using the smoothed bootstraping method in the process of the re-sampling in cooperation with both a kernel density estimation and a reflection method. At the same time, we could estimate the bias-corrected efficiency scores while the traditionally estimated efficiency scores suffered from the biases in the process of solving a linear programming with the deterministic nature of a production frontier. And hence, we could distinguish the differences in production efficiencies of the 8 fishes with respect to those 3 methods of aquaculture.

• 기술혁신연구
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• 제21권1호
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• pp.27-57
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• 2013

공공의 영역에서 공공의 이익과 관련된 정책이나 사안에 대한 사회적 차원의 접근에 있어서'효율성'과 함께'형평성'은 반드시 고려해야 할 양대 축이라 할 수 있을 것이다. 이러한 맥락에서 본 연구는 공공 R&D 투자사업 중 하나인 농업 R&D 투자에 대한 형평성 측면에서의 평가의 일환으로서, 과연 농업 R&D 투자로 인해 창출된 혜택이 농가의 소득계층 별로 균등하게 분배되고 있는지, 특히 농가의 경영 효율성에 고르게 영향을 미치고 있는 지를 확인하기 위한 분석을 시도하였다. 분석결과 표면적으로는 공공재원이 투자된 농업 R&D의 혜택은 비교적 고르게 배분되고 있으며, 그 중에서도 하위 30~40%가 상대적으로 많은 편익을 누리고 있는 것으로 나타났다. 그러나 농가마다 이질적인 지식 흡수 활용능력을 통제하였을 경우, 그 혜택이 상대적으로 저소득층 농가에 비해 고소득층 농가에 집중되는 경향이 발견되었다. 이는 형평성 차원에서 농업 R&D투자는 매우 역진(逆進)적인'보조금'으로서 기능을 하고 있음을 의미하게 된다. 그러나 이러한 농업 R&D 투자의 역진성은 농가들이 지닌 기술적'필요(needs)'의 이질성에 기인한 것일 수도 있음을 확인할 수 있었는데, 전통적인 관행농업 중심의 저소득층 농가들에 비해 지식영농을 지향하는 고소득층 농가들이 농업 R&D의 결과에 대한 수요가 높아 자연스럽게 혜택도 역시 집중된 것으로 보인다.