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创新要素集聚对区域创新绩效的非线性边际效应演化分析 被引量:12

Evolving Nonlinear Marginal Effects of Innovation Elements Cluster on Regional Innovation Performance
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摘要 要素集聚可能存在正负两方面的外部性,充分发挥创新要素集聚的正外部性,对于提升区域创新绩效尤为重要。基于2005—2015年中国省级面板数据,测算了当前各省创新要素集聚水平,运用投影寻踪模型和随机前沿分析技术测算了分省创新绩效,探讨了创新要素集聚对创新绩效的非线性边际效应及其在创新绩效不同分布下的演化特征。研究结果表明:各地区的创新绩效存在较大差异,东部地区的创新绩效明显高于中西部地区,考察期内全国整体创新绩效先降后升,呈现出U型趋势;创新要素集聚与创新绩效存在显著的倒U型关系,且创新要素在不同创新水平下的最优集聚度不同,随着创新绩效的提高,两类创新要素的最优集聚规模整体上呈现出下降趋势。在上述研究结论的基础上,提出相应的政策建议。 Elements cluster may have both positive and negative externality,giving full play to positive externality of innovation elements cluster is especially important to improve the regional innovation performance.Based on Chinese provincial panel data during 2005-2015 to measure the innovation elements cluster levels and provincial innovation efficiency through Projection Pursuit Model and Stochastic Frontier Analysis,furtherly,discussed the nonlinear marginal effects of innovation elements cluster on regional innovation performance and its evolving feature under the regional innovation performance's different distribution.The study shows that:there are big gaps in regional innovation performance,and the innovation performances of eastern regions are better than that of central and western regions,the innovation performance goes up after dropping as a whole during the investigated period,presenting U Shape;the relationship between innovation elements cluster and regional innovation performance presenting Inverted U Shape,the innovation elements' optimum clustering levels differ greatly as the innovation performance are different,with the improvement of innovation performance,the optimum clustering levels of two innovation elements present a downward trend as a whole.Based on the conclusions above,some relevant political suggestions were presented.
出处 《统计与信息论坛》 CSSCI 北大核心 2017年第10期84-90,共7页 Journal of Statistics and Information
基金 新疆维吾尔自治区人文社会科学重点研究基地重大项目<区域创新与区域信息化的耦合协调性分析>(010116A03) 新疆大学世川良一优秀研究生科研资助项目<创新要素流动与区域创新绩效:空间视角下政府调节作用的非线性检验>(XJU-SYLLF16006)
关键词 要素集聚 创新绩效 非线性 边际效应 elements cluster innovation performance nonlinear marginal effect
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