This research use three phase stage- Data Envelopment Analysis to examine six power transmit organizations of Taipower Company from 2002 to 2006 regarding the statistical data of Taipower Company. In phase one, using SBM-DEA method analyses the management efficiency and the amount of input and output variable. Second, using SFA regression analysis probe into the environmental variable influencing degree to each power transmit organizations of Taipower Company. In addition, it take account of the environmental effect and the random interference effect to improve input and output variable. Finally, by way of DEA and Malmguist productivity index, it can measure the relative effects and the productivity change situation between each power transmit organization. The model result shows that SBM-DEA can weigh input difference and total output difference at the same time, by the way of using ratio adjustment, it can determine the really administration efficiency of every power transmit organization. According to phase one analysis results, Only 7 DMUs efficiency value are 1, it is 23% of all the DMUs efficiency value and shows that still have very big improvement space. By the regression analysis of phase 2, we know that the environmental parameter will exert an huge influence on input and output difference, in which the most influence is total asserts rate for working capital, asserts value, accident times, circuit lose and power supply. After adjustment every DMUs, there are 20 efficiency values getting higher, with 5 efficiency values unchanged, with 5 efficiency values decreasing. The amount of getting higher efficiency value is approximately 67% all of the DMUs. After adjustment environmental parameter, there is above 73% change in rank, with 9 DMUs advancement in rank ,13 DMUs degeneracy in rank, and only 8 DMUs unchanged. It shows that 9 DMUs work in unwell environment before adjustment, and 13 DMUs work in well environment before adjustment. It also shows that each power transmit organization still exist difference in working environment. Although the whole power transmit system efficiency represent is no bad ,but it still has large improvement space. Furthermore, according to Malmquist model efficiency index analysis from 2002 to 2006 data of power transmit system show that the total productivity element in Taipei, Hsintou, Chinan and Kaoping power transmit organization are higher than 1, it can attributes to the increasing of technology ,and Taizhong, Huitung, power transmit organization are lesser than 1, it can attributes to the decreasing of technology efficiency.

This research use three phase stage- Data Envelopment Analysis to examine 49 police stations, 10 police precincts of Kaohsiung City Government Police Bureau(KCGPB) from 2003 to 2007 regarding the statistical data of KCGPB. In phase one, using SBM-DEA method analyses the management efficiency and the amount of input and output variable. In second phase, using SFA regression analyses to probe into the environmental variable influencing degree to each police station of KCGPB. In addition, it takes account of the environmental effect and the random interference effect to improve input and output variable. Finally, by way of DEA and Malmguist productivity index, it can measure the relative effects and the productivity change situations between each police station. The model result shows that SBM-DEA can weigh input difference and total output difference at the same time, by the way of using ratio adjustment, it can determine the really administration efficiency of every police station. According to phase one analysis results, 245 DMUs efficiency values are below 1, it is almost 100% of all the DMUs efficiency values and shows that still have very big improvement space. By the regression analysis of phase 2, we know that the environmental parameter will exert an huge influence on input and output difference, in which the most influence is the environmental parameters of violence crime on duty-costs, public services, and real-time solution of criminal cases. After adjustment every DMUs, there are 245 efficiency values getting higher. The amount of getting higher efficiency value is almost 100% of all the DMUs. After adjustment environmental parameter, about 96% change in rank, with 24 DMUs advancement in rank, 23 DMUs degeneracy in rank, and only 2 DMUs unchanged. It shows that 24 DMUs work in unwell environment before adjustment, and 23 DMUs work in well environment before adjustment. It also shows that each police station still exist difference in working environment. Although the whole efficiency of thw police stations represent is not bad, but it still has large improvement space. Furthermore, according to Malmquist model efficiency index analysis from 2003 to 2007 data of all police stations shows that the total productivity element in Sanming First Precinct, Sanming Second Precinct, Cianjhen Precinct, Gushan Precinct, Yancheng Precinct, Zuoying Precinct and Siaogang Precinct are higher than 1, it can attributes to the increasing of technology; Sinsing and Lingya Precincts are lesser than 1, it can attributes to the decreasing of technology efficiency.