中国科技金融发展效率测算及影响因素分析

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。

Efficiency Measurement and Influencing Factors Analysis of Science and Technology Finance Development in China

Based on the Entropy method and Bayesian Stochastic Frontier Analysis model, this paper measures the efficiency of sci-tech & finance integration of provinces in China from the aspect of comprehensive outputs from 2001 to 2014. Then this paper analyses the factors that influence the efficiency of sci-tech & finance integration in China based on Panel data econometric model. Based on the researches in this paper, some conclusions can be drawn as follows that the research on the weights of the three sci-tech outputs based on the entropy method shows that every output index has different weights in different years and each output index account for a large proportion in the total output. Therefore, only considering the three sci-tech outputs comprehensively can measure the efficiency of sci-tech & finance integration in China objectively, the efficiency of sci-tech & finance integration in 30 provinces has been increased over time, but the increase range is very different among provinces, the national finance expenditure on sci-tech, the venture capital investment and the capital market financing for sci-tech have significant positive effect on the efficiency of sci-tech & finance integration in China, while the sci-tech loan from banking industry have a significant negative effect on the efficiency of sci-tech & finance integration in China. With the researches above, this paper hopes to provide some theoretical basis for the optimal allocation of financial resources.