中国科技金融发展效率测算及影响因素分析

发布时间：2018-07-26 20:11

【摘要】：运用熵权法和贝叶斯随机前沿模型,从综合产出角度对2001-2014年中国内地30个省(市、区)科技金融发展效率进行了测算,并运用面板数据模型研究了不同金融投入对中国科技金融发展效率的影响。结果表明:综合考虑三大检索科技论文发表量、专利授权量和高技术产业新产品产值3个科技产出指标,有利于全面反映中国科技产出;中国内地大部分地区的科技金融发展效率大体上是不断提高的,但是,各地区在提高幅度上存在很大差异;财政科技经费投入、创业风险投资和科技资本市场等科技创新融资方式对中国科技金融发展效率具有显著正向作用,而银行科技信贷金额对中国科技金融发展效率具有显著负向作用。
[Abstract]:By using entropy weight method and Bayesian stochastic frontier model, this paper measures the development efficiency of science and technology finance in 30 provinces (cities and regions) in China from 2001 to 2014 from the angle of comprehensive output. The panel data model is used to study the influence of different financial inputs on the development efficiency of China's sci-tech finance. The results show that comprehensive consideration of the three indexes of scientific and technological output, such as the number of scientific and technological papers published, the amount of patent authorization and the output value of new high-tech products, is beneficial to the overall reflection of China's scientific and technological output. The efficiency of the development of science and technology and finance in most parts of the mainland of China has been improving by and large. However, there are great differences among different regions in terms of the extent of the increase; the financial investment in science and technology, Venture capital and scientific and technological capital market have a significant positive effect on the efficiency of the development of China's science and technology finance, while the amount of bank science and technology credit has a significant negative effect on the efficiency of China's science and technology financial development.
【作者单位】：太原理工大学经济管理学院;
【基金】：国家自然科学青年基金项目(41101507) 山西省高等学校人文社会科学重点研究基地项目(2014314) 山西省高等学校优秀青年学术带头人支持计划项目(晋教科[2014]7号)
【分类号】：F832

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