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区域研发联盟与经济增长方式转变
引用本文:杨煜,张宗庆,胡汉辉.区域研发联盟与经济增长方式转变[J].科研管理,2010,31(5):1-10.
作者姓名:杨煜  张宗庆  胡汉辉
作者单位: 1.东南大学经济管理学院,江苏 南京211189 ; 2.东南大学集团经济与产业组织研究中心,江苏 南京211189
基金项目:教育部人文社会科学重点研究基地重大项目,国家自然科学基金
摘    要:借助引入区域研发联盟变量的内生增长模型,本文探讨了区域研发联盟与经济增长方式转变之间的联系。理论分析发现,在知识存量水平较低的条件下,推动区域经济增长向创新驱动转变,可以通过构建区域研发联盟的方式提前达成。尽管在知识存量水平较低时,自主创新得不偿失,对经济增长的影响是负面的,只有知识存量积累到一定水平,自主创新才成为经济增长的引擎,但区域研发联盟作为自主创新的载体,在知识存量水平尚不足以支撑创新驱动的区域经济增长时,可以通过创新主体在区域层面上的合作,发挥各自优势,提升创新能力,改善创新绩效,促成经济增长方式的转变。这一命题也得到了长三角地区纺织行业相关数据的实证检验。

关 键 词:区域研发联盟  自主创新  长三角  纺织业  知识存量
收稿时间:2009-1-11
修稿时间:2009-8-19

Regional R&D coalition and economic growth pattern transformation
Yang Yu,Zhang Zongqing,Hu Hanhui.Regional R&D coalition and economic growth pattern transformation[J].Science Research Management,2010,31(5):1-10.
Authors:Yang Yu  Zhang Zongqing  Hu Hanhui
Institution:1. School of Economics and Management, Southeast University, Nanjing 211189, China; 2. Research Center for Group Economy and Industrial Organization, Southeast University, Nanjing 211189, China
Abstract:Abstract: With the introduction of regional R&;D coalition into an endogenous growth model, the connection between regional R&;D coalition and economic growth pattern transformation has been explored. A theoretical study indicates that the transforming toward an innovation-driven growth could be accomplished in advance by the establishment of regional R&;D coalition. Although indigenous innovation would slow down the growth when the level of knowledge stock is relatively low; after a certain level of knowledge stock, indigenous innovation would become the engine for the economic growth. When the level of knowledge stock is insufficient for maintaining innovation-driven growth, the regional R&;D coalition could act as a carrier for indigenous innovation, the coalition would expedite the transform of economic growth pattern by regional cooperation, exert respective advantages, enhance innovation capabilities, and improve innovation performance. The hypothesis has also been tested by an empirical analysis with the data collected from textile industry in Yangtze River Delta.
Keywords:regional R&  D coalition  indigenous innovation  Yangtze River Delta  textile industry  knowledge stock
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