摘要
对科技金融体系有序性进行定义,运用问卷调查、专家打分法和信息熵原理构建科技金融体系有序性评价指标体系;构建科技金融体系有序性判别模型,考虑到评价指标的权重对灰熵结果的影响,提出加权灰熵的算法,使结果更加真实、合理;收集辽宁省2001-2011年的数据进行实例分析,为科技金融体系的有序发展提供理论依据。
In this paper, the orderliness of science ＆ technology finance system is defined firstly, and the evaluation index system of the orderliness of science ＆ technology finance system is established through questionnaire survey, expert scoring method and information entropy principle ; Then the model of order differentiation of science ＆ technology finance system is established, and the weighted degree of grey entropy is advanced in consideration of the weight of evaluation index having an effect on grey entropy for making the results more realistic and reasonable; Finally, the data of Liaoning province from 2001 to 2011 is collected for the empirical analysis to provide theoretical basis for the orderly development of science ＆ technology finance system and have a certain guiding significance.
出处
《科技管理研究》
CSSCI
北大核心
2015年第22期37-40,共4页
Science and Technology Management Research
基金
辽宁省科学技术重大
重点课题"辽宁省科技与金融深度融合战略与对策研究"(2012401002)
辽宁省科技厅科研基金项目"提高辽宁省科技创新能力对策研究--辽宁省科技金融基础性工作及复合型引导基金的引入与推广"(2014401017)
沈阳市科学计划项目"沈阳市发展产业金融的理论与对策研究"(F14-230-5-23)
关键词
科技金融体系
有序性判别
加权灰熵
science ＆ technology finance system
order differentiation
weighted degree of grey entropy
