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농업․농촌 기반 사회적기업의 부트스트래핑 효율성 분석

An Analysis of the Efficiency of Agricultural Social Enterprises Using the Stochastic DEA Model

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초록

This paper analyzes the efficiency of social enterprises by analyzing bootstrapping data envelopment analysis. Unlike the definitive DEA model, we analyze the confidence intervals of efficiency estimates through the DEA model, which takes into account stochastic factors. Major analysis results are summarized as follows: First, the results of the bootstrapping DEA analysis of social enterprises estimated that the technical efficiency was 0.459 and the 95% confidence interval was 0.389 to 0.601. Second, the number of inefficient social enterprises with efficiency values of less than 0.5 was found to be 15 (55.56%) in technical efficiency, 5 (18.52%) in pure technical efficiency, and 8 (29.63%) in scale efficiency. It can be seen that a significant number of social enterprises are operating in an inefficient state. Third, looking at the returns of scale of social enterprises, 25 (67.57%) are currently in the increasing returns of scale, 10 (27.02%) are in the constant returns of scale, and 2 (5.41%) are in decreasing returns of scale. In other words, it can be seen that social enterprises are under-invested in terms of input factors.

Abstract

This paper analyzes the efficiency of social enterprises by analyzing bootstrapping data envelopment analysis. Unlike the definitive DEA model, we analyze the confidence intervals of efficiency estimates through the DEA model, which takes into account stochastic factors. Major analysis results are summarized as follows: First, the results of the bootstrapping DEA analysis of social enterprises estimated that the technical efficiency was 0.459 and the 95% confidence interval was 0.389 to 0.601. Second, the number of inefficient social enterprises with efficiency values of less than 0.5 was found to be 15 (55.56%) in technical efficiency, 5 (18.52%) in pure technical efficiency, and 8 (29.63%) in scale efficiency. It can be seen that a significant number of social enterprises are operating in an inefficient state. Third, looking at the returns of scale of social enterprises, 25 (67.57%) are currently in the increasing returns of scale, 10 (27.02%) are in the constant returns of scale, and 2 (5.41%) are in decreasing returns of scale. In other words, it can be seen that social enterprises are under-invested in terms of input factors.

참고문헌 (7)

  1. 김숙경, "자료포락분석을 활용한 사회적기업의 효율성 분석", 한국지리학회지, 6(3), pp.495~506 (2017), 한국지리학회[DOI]
  2. 권오상, "확률 DEA-FDH 기법을 이용한 산지유통 및 수급안정 조직의 경영성과와 그 결정요인 분석 : 『산지유통종합평가』자료를 중심으로", 농업경제연구, 50(2), pp.69~96 (2009), 한국농업경제학회
  3. 이상호, "확률적 DEA모형에 의한 품목농협의 효율성 분석", 농업생명과학연구, 45(6), pp.279~289 (2011), 농업생명과학연구원
  4. 이상호, "시설원예농업의 난방유형에 따른 효율성 분석", 농업경제연구, 54(1), pp.39~53 (2013), 한국농업경제학회
  5. Min, J. H., "A Nonparametric Test on Mean Difference of DEA Efficiency Estimates-Bootstrapping Approach", Journal of the Korean Operations Research and Management Science Society, 24(2), pp.53~68 (1999)
  6. Lee, S. S., "An Analysis on the Efficiency of Apple Production in Environmental Agriculture Using DEA", Korean Journal Of Agricultural Economics, 42(2), pp.51~65 (2001)
  7. Simar, L., "Statistical inference in nonparametric frontier models : the state of the art", Journal of Productivity Analysis, 13, pp.49~78 (2000)

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