| 基于波士顿矩阵的科技金融发展分类策略研究 |
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| 引用本文： | 王海芸,刘杨.基于波士顿矩阵的科技金融发展分类策略研究[J].科学学研究,2020,38(6):1018-1027. |
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| 作者姓名： | 王海芸 刘杨 |
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| 作者单位： | 1. 北京科学学研究中心;2. 首都科技发展战略研究院; |
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| 摘 要： | 科技与金融深度融合发展对于提升区域整体科技创新能力、助推经济转型升级意义重大。本文从科技金融的概念内涵出发,构建了包含5个一级指标、19个二级指标的科技金融综合指数指标体系,以及5个投入指标、3个产出指标的科技金融效率指标体系,并以2014-2017年数据为基础,测度了中国30个省（市、自治区）的科技金融发展水平和科技金融发展效率。然后,利用波士顿矩阵模型分析了中国30个省（市、自治区）科技金融发展水平和效率之间的关系,将我国科技金融发展分为“高-高型”、“高-低型”、“低-高型”和“低-低型” 四种模式,并探讨了每一类模式的不同特征。最后,本文就四种发展模式分别提出针对性建议,旨在为提升我国区域科技金融发展水平提供决策参考。
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| 关 键 词： | 科技金融 发展水平 发展效率 波士顿矩阵 分类策略 |
| 收稿时间： | 2019-04-29 |
Research on Classification Strategy of Development of Science and technology finance Based on Boston Matrix Model |
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| Abstract: | Deep integration development of science and technology finance is of great significance for enhancing the overall scientific and technological innovation capabilities of the region and boosting economic transformation and upgrading. This paper starts from the concept of science and technology finance, constructs that a comprehensive indicator system of science technology and finance with 5 primary indicators, 19 secondary indicators; and an efficiency of science and technology finance indicator system of 5 input indicators and 3 output indicators, based on the 2014-2017 data, measure the development level and efficiency of science and technology finance in Chinese 30 Provinces and autonomous regions. Then, analyse the relationship between development level and efficiency of science and technology finance of Chinese 30 Provinces and autonomous regions, divide China's scientific and technological financial development into "high-high", "high-low", "low-high", "low-low" four types, and discuss the different characteristics of each type. Finally, this paper puts forward some suggestions on the four development types respectively, to provide a reference for improving the regional development level of science and technology finance in China. |
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