摘要
提升科技与金融的耦合效率是当下中国实现创新驱动发展的重要战略支点之一。基于网络DEA方法对1996-2014年中国省域科技与金融的耦合效率进行了科学测算,并利用空间计量和非参数核估计方法对其空间集聚、动态演进的趋势及区域异质性进行了分析,且实证检验了政府主体、制度环境等要素的影响。结果表明,中国科技与金融耦合效率整体逐步改善,但区域间与区域内的非均衡性较为明显;省域层面表现出显著的空间集聚效应,高值空间集聚区主要集中在以上海、浙江、江苏等为核心的东部省份,但2010年以后以重庆、四川等为核心的高值空间集聚区也逐步形成,低值空间集聚区主要分布在东北三省以及西部部分省份;进一步的研究发现,当下中国科技与金融耦合效率的提升具有较强的政府依赖特征,制度环境对其的影响具有一定的阈值效应。
Promoting the coupling efficiency of technology and finance system is one of the most important strategxc fulcrums to realize the innovation-driven development in China. After figuring out the efficiencies of the technology and finance system in China from 1996 to 2014, this paper uses the methods of spatial econometric and nonparametric kernel estimate to analyze the system efficiencies' spatial agglomeration and dynamic evolution features. Also, we test empirically the developing pattern of the system. The results show that, the efficiency is overall arising, but with serious unbalanced development. The system efficiency is significant spatial autocorrelation. The high value agglomeration areas contain Shanghai, Zhejiang, Jiangsu, Chongqing and Sichuan and the low value agglomeration areas contain northeast and a few west provinces. The effect of government' s support on the system efficiency improving is significant positive and that of system environment is U-shaped.
出处
《经济地理》
CSSCI
CSCD
北大核心
2018年第2期104-112,共9页
Economic Geography
基金
国家社会科学基金项目(13BJY023)
关键词
创新驱动
科技
金融
耦合效率
空间集聚
动态演进
政府与制度
innovation driven
technology
finance
coupling efficiency
spatial agglomeration
dynamic evolution
government and system