摘要
基于耗散结构理论和灰色关联分析,构建科技金融机制有序性测度模型,以判定科技金融机制子系统间的协同程度,以及科技金融系统配置资源的效率。根据江苏样本数据的检验发现,江苏科技金融机制在2005—2006年呈现熵减的过程,科技金融资源配置得到优化,此后熵值又迅速回升,并在近几年保持波动。由此表明,科技金融机制的有序程度以及各科技金融机制子系统之间的协调性,还有进一步提升的空间。基于此,为降低科技金融机制总熵值,改善科技金融生态,从完善各科技金融机制子系统以及整合科技金融资源的角度出发,提出优化政策性资金供给体系,构建服务支持体系;创新制度与产品,构建科技金融与科技保险服务体系;吸收民间资本,畅通民间金融支持科技型企业的渠道;整合政府性、市场性和社会性科技金融资源,优化融资模式与结构,以破解科技型企业融资难的问题。
Science-technology enterprises are faced with financing restriction because of high operating uncertainties,information asymmetry between investors and financiers and complexity of science-technology finance mechanism. Based on dissipative structure theory and grey relation analysis,this paper constructs a model to measure the orderliness of science-technology finance mechanism so as to evaluate the synergetic degree among the subsystems and the efficiency of resource allocation. The examination of the sample data from Jiangsu Province shows that the entropy of the sciencetechnology finance mechanism declined from 2005 to 2006,which means the allocation of scientific technological and financial resources was enhanced. Then,the entropy rose rapidly and kept fluctuating in recent years,which means there is room for the improvement of the orderliness of the science-technology finance mechanism. Based on the study,it is necessary to take measures as follows: improving the supply system of policy funds, promoting system and product innovation,absorbing private capital,integrating market resources with governmental and social resources and perfecting technological and financial ecology.
出处
《河海大学学报（哲学社会科学版）》
CSSCI
2015年第6期65-71,99,共7页
Journal of Hohai University：Philosophy and Social Sciences
基金
国家社会科学基金项目(14BGL031)
江苏省哲学社会科学基金重点项目(13YEA001)
中国特色社会主义经济建设协同创新中心资助
关键词
科技金融
金融机制
耗散结构
有序性
灰色关联分析
science-technology finance
financial mechanism
dissipative structure
orderliness
GRA
