中文摘要：

笔者收集我国30个省、自治区、直辖市的高技术产业创新活动的投入产出数据,应用三阶段DEA模型测度高技术产业创新效率。研究显示：我国高技术产业创新效率整体水平偏低,政府行为、人力资本和信息化水平对高技术产业创新效率产生负向影响,区域经济和金融支持对高技术产业创新效率产生正向作用。进一步分析表明,在剥离环境因素和随机误差后,规模效率成为制约创新效率提升的主要原因;采用三阶段DEA模型对高技术产业创新效率进行度量比传统DEA和单阶段SFA更为合理。

英文摘要：

With the input and output data of high-tech industry innovation from 30 provinces in China, based on the three-stage DEA model, this paper analyzes China＇ s high technology industry innovation efficiency. The main conclusions include that the overall level of innovation efficiency in China＇ s high-tech industry is somewhat low; the government behavior, regional human capital, and the informationization level have a significantly negative influence on high-tech industry innovation production efficiency, while the regional eco-nomic development level and financial support have a significantly positive impact on high-tech industry innovation production efficien- cy. The further analysis indicates that stripping away the environment factor and random errors, scale efficiency is the main reason to restrict the promotion of innovation efficiency, and a three-stage DEA model is more reasonable than the traditional DEA method and one-phase SFA method to measure the efficiency of high-tech industry innovation production efficiency.