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The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China

机译:基于改进的两阶段DEA模型的区域研发创新效率研究:来自中国30个省的证据

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The improved two-stage DEA model removed constrains that efficiency values of decision making units are not greater than one by means of the handling method in super-BCC model. In this way, those efficient DMUs were separated from the efficient frontier and therefore the problem that they were unable to sort in the traditional two-stage DEA model. In the meantime, this improved model gave full consideration to the dual role of intermediate outputs and the influence of scale effect, which gave the evaluation results larger reference value. Lastly, the case study of 30 provinces demonstrated the feasibility and rationality of the improved model. It is found that the level of research and innovation efficiency in east China is the highest; the comprehensive efficiency and stage efficiency of mid-south and north China are high; the comprehensive efficiency level in southwest and northwest China is high while the efficiency of scientific research and development is low; the efficiency of research and innovation in northeast China is lowest.
机译:去除了改进的两阶段DEA模型,通过super-BCC模型中的处理方法,限制了决策单元的效率值不大于1。通过这种方式,那些有效的DMU与有效的边界分离了,因此,它们无法在传统的两阶段DEA模型中进行分类。同时,该改进模型充分考虑了中间产出的双重作用和规模效应的影响,为评价结果提供了较大的参考价值。最后,以30个省为例,验证了改进模型的可行性和合理性。研究发现,华东地区的研究与创新效率最高。中国中南部和华北地区的综合效率和阶段效率高;西南和西北地区综合效率水平高,科研开发效率低;东北地区的研究和创新效率最低。

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