摘要
以2011-2021年中部6省87个市、州面板数据为样本,集成三阶段数据包络分析、全局及局部空间自相关方法,分析各城市科技创新效率的时空演变特征与集聚格局,探究其动态和静态驱动作用机制。结果显示:科技创新效率区域差异程度提高,空间分布逐步由“整体北强南弱、局部差异分布”,向省会核心外围转变;空间集聚性增强,形成因地而异的创新驱动机制;为中小微企业提供完善的政策与科技支撑服务,是该地区提高科技创新效率的重要路径。
Based on the panel data of 87 cities and states in six provinces in central China from 2011 to 2021,this paper integrates three-stage data envelopment analysis,global and local spatial autocorrelation methods to analyze the spatio-temporal evolution characteristics and agglomeration pattern of the efficiency of scientific and technological innovation for each city,and explores its dynamic and static driving mechanisms.The results show that the degree of regional differences in efficiency of scientific and technological innovation has increased and that the spatial distribution has gradually changed from"strong in the north as a whole and weak in the south,but different in parts"to the core and periphery of provincial capitals.Spatial agglomeration has increased,and different innovation driving mechanisms have been formed.To improve the efficiency of scientific and technological innovation in this region it is an important way to provide better policies and scientific and technological support services for small,medium and micro enterprises.
作者
王思成
魏国恩
高明明
WANG Sicheng;WEI Guoen;CAO Mingming(School of Architecture and Urban Planning,Guizhou University,Guiyang 550025,China;College of Resources and Environment,Nanchang University,Nanchang 330031,China;College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China)
出处
《科技导报》
CAS
CSCD
北大核心
2023年第7期6-14,共9页
Science & Technology Review
基金
贵州省科技计划项目(黔科合支撑[2022]一般234号)
贵州大学博士基金项目(贵大人基合字[2020]10号)。
关键词
科技创新效率
空间自相关
地理探测器
驱动机制
中部6省
scientific and technological innovation efficiency
spatial autocorrelation
geographical detector
driving mechanism
six central provinces