《Table 2 The second stage:SFA regression result》

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《Measurement and Analysis of Agricultural Production Efficiency in Taiwan of China Based on Three-stage DEA Model》

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Note:***shows significant correlation at 1%of level（bilateral）；**shows significant correlation at 5%of level（bilateral）；*shows significant correlation at10%of level（bilateral）.The number in the bracket is corresponding estimated t statistical amount.

Logarithm of relaxing amount of each input variable obtained at the first stage is taken as the explained variable，and four environmental variables are taken as explanatory variables.Via Frontier 4.1 software，SFA regression is conducted，and the results are shown as Table 2.Seen from Table 2，the estimated result is ideal，illustrating that external environmental factor affects agricultural production input redundancy of Taiwan.gamma value of relaxation variable of employee of agriculture，forestry，animal husbandry and fishery is0.999，and original hypothesis is denied at 1%of significant level，illustrating that management factor is dominant in employee input of agriculture，forestry，animal husbandry and fishery.gamma values of relaxation variables of the number of tractor，the area of paddy field and the area of dry land are all close to 0 and pass through significance test，illustrating that the influence of random error is dominant.The results show that management and random factors significantly affect agricultural production efficiency，and it is necessary to peel management and random factors out by SFA.