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近年来,研发效率问题成为学者关注的焦点,但还没有针对产业集群研发效率的研究。本文选取研发经费内部支出和研发人员数量为产业集群研发效率的投入指标,发明专利授权数为产出指标。并基于现有三阶段DEA未考虑决策单元之间合作关系的局限性,提出三阶段仁慈型DEA模型,并计算了2008-2012年我国10个高新技术产业集群的研发效率,结果证实了方法的适用性。研究结果表明:(1)在剔除了环境和随机因素的影响后,各个高新技术产业的研发效率有明显的上升;(2)所在城市人均GDP和研究生毕业生数对研发经费内部支出的投入冗余和研发人员数量的投入冗余是正向有利因素,而政府资助研发经费占城市总研发经费的比重对研发经费内部支出的投入冗余是正向有利因素,对研发人员数量的投入冗余是负向不利因素。
In recent years, the efficiency of research and development has become the focus of scholars, but no research on the efficiency of industrial clusters research and development. This article selects the internal expenditure and R & D personnel R & D expenditure for the industrial cluster research and development efficiency input index, the number of invention patents for the output indicators. And based on the existing three-phase DEA without considering the limitations of the cooperative relations between decision-making units, a three-phase kindness DEA model is proposed and the research and development efficiency of 10 high-tech industrial clusters in China from 2008 to 2012 are calculated. The results prove that the method is suitable Sex. The results show that: (1) R & D efficiency of each high-tech industry increases significantly after removing the influence of environment and stochastic factors; (2) Per capita GDP of graduates in cities and the number of graduate students investing in internal expenditures of R & D expenditures The redundant input of R & D personnel and number of R & D personnel is a positive factor, and the proportion of government-funded R & D funds in total R & D expenditure in urban areas is a positive factor for the input redundancy in R & D expenditure, and the input redundancy in R & D personnel is negative To unfavorable factors.