运用SD枝向量行列式反馈环计算分析新兴产业协同创新障碍——以江西省绿色光源产业为例  

Calculating and Analyzing the new industrial synergetic innovation's hinder by Using branch vector determinant feedback——Use Jiangxi province green light source industry as a case

作　　者：於流芳[1,2] 贾仁安[1] 尹继东[3] 

机构地区：[1]南昌大学管理学院,江西南昌330031 [2]湖北汽车工业学院,湖北十堰442002 [3]南昌大学经济与管理学院,江西南昌330031

出　　处：《南昌大学学报（理科版）》2015年第2期124-134,157,共12页Journal of Nanchang University(Natural Science)

基　　金：国家自然科学基金资助项目(71261018;71171208);2010年国家软科学基金资助项目<科技入园模式与机制研究>(2010GXS5D222)

摘　　要：通过组织管理系统动力学(SD)流率基本入树建模法建立江西省绿色光源产业协同创新系统的4棵入树,利用枝向量行列式反馈环算法计算出系统的18条反馈环,然后紧密联系江西省绿色光源产业协同创新增效缓慢的问题,对全部反馈环逐条进行关键因果链分析,揭示产生制约绿色光源产业协同创新增效缓慢问题的16条关键因果链,基于关键因果链所指问题的共性,将16条关键因果链分成4类,再基于4类关键因果链生成系统发展的4条管理对策,为破解江西省绿色光源产业创新增效缓慢的问题提供决策依据。We built up four-tree about Jiangxi green light source by the rate variable fundamental in the tree model of system dynamics in this article. The feedback hoops （two and more level variables included） were calculated using branch vector determinant. We obtained 18 hoops. By connecting with Jiangxi green light source＇s slow growth speed of industrial synergetic innovational benefit, we analyzed all feedback hoops step by step according to those causality links in the hoops in order to reveal 16 key causality links,which limited the growth speed of the industrial synergetic innovational benefit. These key causality links were then divided into four categories according to those points to the common problem. Finally, we provided some management suggestions based on our analysis.

关 键 词：流率基本入树模型 枝向量行列式反馈环算法 关键因果链反馈环分析产业协同创新 

分 类 号：F269.24[经济管理—国民经济]