基于三阶段DEA模型的我国金融支持科技创新效率评价
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Study on Evaluation on Chinese Finance Support Efficiency for Scientific and Technological Innovation Based on Three-stage DEA
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    摘要:

    利用三阶段DEA模型及均值聚类方法,采用2006—2013年我国30个省份金融投入和科技产出的面板数据,在控制外部环境的基础上测算我国金融支持科技创新的效率,并根据效率值各省份划分为高效、中效和低效三个层次。研究表明,外部环境对我国用于科技创新的金融资源配置影响明显,剔除环境因素后金融支持科技创新效率明显下降,这主要源于规模效率的降低;各地区金融支持科技创新效率存在明显差异,东部地区处于中、高效层,中部地区集中于中效层,西部地区集中于低效层。各地区应根据自身效率情况采取相应的措施,建立多层次、多渠道的金融市场体系,提高金融支持科技创新效率。

    Abstract:

    This paper uses the three-stage data envelopment analysis model and K-means clustering method, analyzes the panel data of the Chinese financial input and scientific and technological output from 2006 to 2013 in 30 provinces and municipalities, calculates the efficiency of Chinese finance support to science and technology innovation based on the control of external environment, and divides the efficiency into three levels such as high level, middle level and low level respectively. Research shows that the external environment has an obvious impact on the financial resources for scientific and technological innovation of China. After we reject environmental factors, the efficiency of all kinds of provinces and municipalities is declining differently, the degeneration of scale efficiency is the main reason. According to the result of clustering analysis, the efficiency stays in middle and high level in east part of China, stays in middle level in middle part of China and stays in low level in west part of China. The efficiency of Chinese finance supporting scientific and technological innovation can be raised by relative measures according to self situation of each province and municipality, and by setting up multiple-channel and multiple-layer financial market system.

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曾 胜,张明龙.基于三阶段DEA模型的我国金融支持科技创新效率评价[J].西部论坛,2016,26(4):101-108

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  • 在线发布日期: 2016-07-13