This study measured technology transfer efficiency for public institutes. The study made use of DEA being one of the non-parametric linear programming to evaluate technology transfer efficiency for public institutes and to measure technology efficiency,

This study measured technology transfer efficiency for public institutes. The study made use of DEA being one of non-parametric linear programming to evaluate technology transfer efficiency for public institutes and to measure technology efficiency, pure technical efficiency and scale efficiency. The measurement of technology transfer efficiency for public institutes are as follows: The cause of the technology transfer inefficiency was affected by pure technical inefficiency more than by scale inefficiency. The returns effect of scale varied depending upon characteristics of institutes: The characteristics of organization were not significant different but regional characteristics were significant different. The returns effect varied depending upon regional characteristics of public institutes: The organizations at the metropolitan area had decreasing returns to scale, while the ones at local areas had not only increasing returns to scale but also constant returns to scale. The technology transfer efficiency of public institutes varied depending upon the features of the organizations and regions: The technology transfer efficiency of public institutes was as follow : public research institutes at the metropolitan area, public research institutes at the local areas, universities at the metropolitan area and universities at the local areas. In other words, the technology transfer efficiency was affected by organizational characteristics more than by regional characteristics at the place where public institutes were located.