创新价值链视角下的区域创新活动空间非均衡与收敛研究
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中南财经政法大学 统计与数学学院,湖北工业大学 管理学院,湖北 武汉

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C812

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中南财经政法大学博士生科研创新课题 (2014B1901)


A study of Spatial Inequality and Convergence of Provincial Innovative Activity from the perspective of innovation value chain
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    摘要:

    从创新价值链视角(知识创新、科研创新、产品转化创新三阶段)分析我国区域创新活动空间非均衡与收敛特征。研究发现:(1)省域知识创新和产品转化创新活动的空间非均衡程度逐渐改善,而科研创新活动水平则呈现出“马太效应”和“发散趋势”;(2)八大区域在科研创新和产品转创新活动的发展水平和空间非均衡程度基本一致;(3)地区间差异是三类创新活动水平空间非均衡的主要来源,区域间非均衡贡献程度随着创新价值链阶段上升不断提高;(4)三类创新活动都存在条件β收敛,在校大学生人数、市场化水平对知识创新水平增长有显著正影响,人均GDP对科研创新水平增长有显著正影响,人均GDP和市场化水平对产品转化创新水平增长有显著的正影响。

    Abstract:

    An Analysis of Spatial Inequality and Convergence characteristics of Provincial Innovative Activity from the perspective of value chain innovation (three stages of knowledge innovation, research and development innovation and product transformation innovation) was made . The study found: (1) Overall, The degree of spatial inequality has gradually improved for the knowledge innovation and product transformation innovation activities , while the research and development innovation activities showed the "Matthew Effect" and Divergent trends(2) the research and development innovation and product innovation activities has a relatively consistent level of development and spatial inequality in the eight regions. (3) inter-regional differences are a major source of spatial inequality level in three innovation activities and the regional contribution was improved with the rise in the value chain .(4) there exist conditional beta convergence for three innovation activities ,the growth rate of knowledge innovation variables was significantly affected by the number of college students and the level of the market, only the per capita GDP has a significant positive impact on the research and development innovation growth, while per capita GDP and market level has a significant positive impact on the product innovation and transforming growth.

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周迪,程慧平.创新价值链视角下的区域创新活动空间非均衡与收敛研究[J].,2015,(19).

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  • 收稿日期:2014-07-24
  • 最后修改日期:2014-10-11
  • 录用日期:2014-10-23
  • 在线发布日期: 2015-10-13
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