中国省际科技金融效率测度及其影响因素分析——基于空间面板模型实证研究

运用DEA-BCC模型测算我国2005—2016年30个省(区、市)科技金融效率,并建立相应空间面板模型对影响科技金融的因素进行分析。研究结果表明:我国省际科技金融效率区域差异较大,整体水平相对偏低,只有少数经济相对发达的东部地区科技金融效率达到了有效生产前沿面;除研发投入强度对科技金融效率有负向影响外,科研氛围、高技术产业资金规模等影响因素对科技金融效率有显著促进作用。为此,提出有效促进地区科技金融效率提高的相关政策建议。

Analysis of China's Inter-provincial Science and Technology Financial Efficiency Measurement and Its Influencing Factors - Empirical research based on spatial panel model

Using the DEA-BCC model to measure the financial and financial efficiency of 30 provinces (autonomous regions and municipalities) during the period of China from 2005 to 2016 and to establish the corresponding spatial panel data to influence the efficiency of China"s science and technology finance. The empirical research shows that the inter-provincial science and technology financial efficiency varies greatly in China, and the overall level is low. Only a few economically developed regions have achieved high efficiency in technology and financial efficiency. Most of the central and western regions have financial and financial efficiency below 0.8. The efficiency of some regions is even lower than 0.4; the analysis of spatial autocorrelation coefficient finds that the financial efficiency of science and technology in all provinces (autonomous regions and municipalities) has a spatial agglomeration phenomenon, and the research and development investment intensity has a negative impact on the efficiency of science and technology finance through spatial panel regression. The scale of funds, the scale of financial support and the rate of technological progress in high-tech industries have significantly promoted the efficiency of science and technology finance. To this end, it proposes relevant policy recommendations for rational allocation of scientific and technological resources and scientific and technological innovation.