This study explores the executive efficiency on “Technology Development Program (TDP)”, and the factors influencing it. This research aims at investigations notified in the annual reports about the TDP from 1999 to 2004. First of all, Analytic Hierarchy Process (AHP) is applied to calculate the weighted proportion of input and output variables. Data Envelopment Analysis (DEA) is further used to analyze the efficiency and divergence on TDP. Finally, the application of Tobit regression probes into factors that influence the executive efficiency on TDP. The result is that the executive efficiency on the investigations related to “machinery and aerospace” is relatively better than the other industries, while the one in “2004” is better in comparison with the other annual investigations. Besides, Tobit regression analysis shows that “Human Resource”, “Research Density”, “Patent Application”, and “Result Transfer” have significant positive effect on the executive efficiency. In addition, sensitivity analysis of DEA/AHP indicates the executive efficiency is robust.