基于PCA-DEA-Moran指数的科技金融发展效率评价研究

通过构建主成分分析、包络数据分析和Moran指数相结合的科技金融效率评价模型，运用2015年全国31个省（市、自治区）的科技金融投入指标和产出指标，对全国科技金融发展效率进行了评价。研究发现：全国大部分地区的科技金融效率相对较低，仅有北京、上海、浙江、江苏、广东、天津等地科技金融投入产出效率较高，各地区科技金融效率呈现明显的区域不均衡发展态势。根据研究结论提出应从创新科技金融产品、优化科技金融投资渠道、构建科技金融服务平台和推动科技金融区域间协调发展等方面提高整体科技金融发展效率和水平。

A Study on The Efficiency Evaluation of Technology Finance Development Based on PCA-DEA-Moran Index

through the construction of the scientific and technological financial efficiency evaluation model based on the combination of principal component analysis, enveloping data analysis and Moran index, the efficiency of science and technology finance in China is evaluated by using the scientific and technological financial input index and output index of 31 provinces (cities and autonomous regions) in 2015.It is found that the scientific and technological financial efficiency of most parts of the country is relatively low, while Beijing, Shanghai, Zhejiang, Jiangsu, Guangdong and Tianjin have high efficiency in scientific and technological financial input-output, and the scientific and technological financial efficiency in each region shows an obvious regional unbalanced development trend. Further, according to the results of the empirical analysis, We should improve the overall efficiency and level of technology finance development from the innovation of scientific and technological financial products, the optimization of the investment channels of scientific and technological finance, the construction of the service platform of scientific and technological finance and the coordinated development of the scientific and technological financial regions.