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高技术产业科技投入产出过程分为技术研究开发和技术成果产业化两阶段,在此基础之上构建了规模报酬可变的链式DEA模型,对中国29个省、市、自治区的科技投入产出链整体效率和分阶段效率进行研究,利用面板数据回归模型探寻环境因素对其效率的影响作用。研究表明,考察期内中国各省的高技术产业科技各阶段效率和整体效率均不高;金融支持、企业规模和劳动者素质对高技术产业技术开发研究效率产生显著影响;金融支持、市场环境、政府干预和企业规模对高技术产业成果产业化效率作用明显;金融支持和政府干预对高技术产业科技投入产出链整体效率影响显著。
The process of input-output of science and technology in high-tech industry is divided into two stages: technological research and development and industrialization of technological achievements. On this basis, a chain-type DEA model with variable returns to scale is constructed. The investment in science and technology of 29 provinces, municipalities and autonomous regions in China The overall efficiency of the output chain and the phased efficiency of the study, using panel data regression model to explore the impact of environmental factors on its efficiency. The research shows that during the study period, the efficiency and overall efficiency of each stage of high-tech industry in each province in China are not high; the financial support, the scale of enterprises and the quality of labors have a significant impact on the efficiency of research and development in high-tech industries; the financial support, market environment, The effect of government intervention and firm scale on the industrialization efficiency of high-tech industry achievements is obvious. Financial support and government intervention have a significant impact on the overall efficiency of S & T input and output chains in high-tech industries.