This study analyzed the efficiency in data envelopment analysis (DEA) as non-parametric analysis method which is commonly used in efficiency analysis. DEA is a methodology for identifying the relative efficiency of DMUs. It is introduced by Charnes, Cooper and Rhodes (CCR). The size reduction of wholesale markets corporation and Gongpanjang have a significant impact in order to enable the public wholesale markets, and shows that the distribution function is weaker than gathering capabilities. Therefore, the strengthening of the management and support of the center-chain was greatly needed. The empirical results of this paper are summarized as follows. As a result of the analysis of the efficiency of the tie maker, the technical efficiency was 0.875, the net technical efficiency was 0.986, and the scale efficiency was 0.887. The bootstrap CRS efficiency was 0.774, the lower limit efficiency was 0.722, and the upper limit efficiency was 0.869. The bootstrap VRS efficiency was 0.970, the lower limit efficiency was 0.928, and the upper limit efficiency was 0.986. Super efficiency value more than 1 were found in 10 out of 27 units. In the analysis of return to scale (RTS), 10 units reflected constant return to scale (CRS), one unit showed increasing return to scale (IRS), while 16 units exhibited decreasing return to scale (DRS). The net technological factor is efficient but there are many inefficient units due to inadequacy of scale. This shows that inefficiency mainly depends on the scale efficiency.
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