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作 者:俞立平 沈洁[1] Yu Liping;Shen Jie(School of Statistics and Mathematics,Zhejiang Gongshang University;Collaborative Innovation Center of Statistical Data Engineering,Technology&Application,Zhejiang Gongshang University,Hangzhou 310018,China)
机构地区:[1]浙江工商大学统计与数学学院 [2]浙江工商大学统计数据工程技术与应用协同创新中心,浙江杭州310018
出 处:《科技管理研究》2021年第24期35-42,共8页Science and Technology Management Research
基 金:浙江省自然科学基金重点项目“制造业从数量型创新向质量型创新转型机制研究”(Z21G030004);浙江省重点建设高校优势特色学科项目“浙江工商大学统计学”(2020Z18)。
摘 要:以高技术产业为例,通过数据包络分析(DEA)模型测算2009—2019年我国30个省、自治区、直辖市创新规模效率与纯技术效率,以反映各地区的创新政策与创新技术水平,在此基础上通过基尼系数、耦合协调度和重心测度其特征及关系。研究发现:创新技术水平低下是制约创新效率提高的关键因素;各地区创新技术水平的差距和创新政策的差距都呈现逐渐缩小的趋势;创新政策与创新技术水平之间协调度的提高可促进创新效率的提高,二者在空间上的协调度逐渐提高但协调性有待发展;创新政策与创新技术水平的耦合协调度总体较好,但各地短板不同。Taking the high-tech industry as an example, this paper measures the innovation scale efficiency and pure technology efficiency of 30 provinces from 2009 to 2019 in China by the data envelope analysis(DEA) model to reflect the innovation policies and levels of innovation, on this basis, measures their characteristics and relations by Gini coefficient, coupling coordination and center of gravity. The research finds that: the low level of innovation is a key factor restricting the improvement of innovation efficiency;the gap between innovation levels and innovation policies in various regions has gradually narrowed;the coordination between innovation policies and innovation levels needs to be developed;the coupling coordination degree between innovation policies and innovation levels is generally good,but the shortcomings of different regions are different;the increase in the degree of coordination between innovation policies and levels can promote the improvement of innovation efficiency;the degree of spatial coordination between innovation policies and levels is gradually increasing.
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