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创新驱动战略下省域协同创新合作水平比较研究
引用本文:於流芳,尹继东. 创新驱动战略下省域协同创新合作水平比较研究[J]. 科技进步与对策, 2017, 34(16): 33-41. DOI: 10.6049/kjjbydc.2017020295
作者姓名:於流芳  尹继东
作者单位:1.南昌大学 管理学院,江西 南昌 330031;2.湖北汽车工业学院 经济管理学院,湖北 十堰 442002;3.南昌大学 经济与管理学院,江西 南昌 330031
基金项目:湖北省教育厅人文社科青年项目(16Q177)
摘    要:鉴于创新要素流动受到省域户籍、财政等政策的影响,以省域为研究载体,研究省域协同创新主体间互动可以动态反映在同一基础条件下创新驱动经济的协同过程。以复合系统理论为基础,构建了包含科技服务子系统的协同创新联盟复合系统理论模型,基于湖北、湖南和江西三省2009-2014年面板数据,运用复合系统协同度模型对协同创新联盟复合系统进行实证分析。通过比较各省复合系统中子系统有序度、协同度以及各个协同创新子系统有序度,发现不同地区创新优势不同,各地协同创新联盟核心创新主体应有差异;政府是否参与协同创新应有所选择;湖北省复合系统应深化科技服务子系统下层子系统与高校子系统、科研机构子系统间联系;江西省复合系统应以产业子系统为突破口,形成多向发展的可能。

关 键 词:创新驱动  协同创新  复合系统  协同度  
收稿时间:2017-06-06

Comparison Research on the Level of Collaboration Innovation across Provinces under the Strategy of Innovation-driven
Yu Liufang,Yin Jidong. Comparison Research on the Level of Collaboration Innovation across Provinces under the Strategy of Innovation-driven[J]. Science & Technology Progress and Policy, 2017, 34(16): 33-41. DOI: 10.6049/kjjbydc.2017020295
Authors:Yu Liufang  Yin Jidong
Affiliation:1.Management School, Nanchang University, Nanchang 330031, China;2.Economic & Management School, Hubei University of Automotive Technology, Shiyan 442002, China;3.Economics & Management School, Nanchang University, Nanchang 330031, China
Abstract:The fluxility of innovation factors is affected by the household, the fiscal policy and so on. The research on the innovation body among the same province is helpful to show that the process of innovation pushing economics. Based on CAS theory, this article construct a synergy innovation complexity system theory model which include the technology affiliate system, and do some empirical research on the provinces: Hubei, Hunan, Jiangxi panel Data using the complexity system model. By comparing from the different provinces ,the whole coordination, the different affiliate systems in the complexity system. It can get some conclusions as follows: the synergy innovation alliances should have different innovation core subjects considering of the advantage industries and the base of innovation knowledge and capacity. The local governor should choose the different innovation alliances to take part in according to the aim of innovation alliances. Hubei complexity system should deepen the interaction between sub-technology service system and the knowledge supply affiliate system. Jiangxi complexity system should lay the breakout on the industry system and find out possible development directions.
Keywords:Innovation-driven  Collaboration Innovation  Complexity System  Coordination  
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