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中部6省科技创新效率的空间集聚演进与驱动机制分析
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科技导报 | 专稿 2023, 41(7): 6-14
中部6省科技创新效率的空间集聚演进与驱动机制分析
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王思成1,魏国恩2,高明明1,3*
作者信息
    1. 贵州大学建筑与城市规划学院,贵阳 550025
    2. 南昌大学资源与环境学院,南昌 330031
    3. 浙江大学建筑工程学院,杭州 310058

通讯作者:

高明明(通信作者),讲师,研究方向为区域产业经济协调发展与治理,电子信箱:9823455@qq.com
Spatial agglomeration evolution and driving mechanism of science and technology innovation efficiency in six provinces of central China
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出版时间: 2023-04-13 doi: 10.3981/j.issn.1000-7857.2023.07.001
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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。
科技创新效率  /  空间自相关  /  地理探测器  /  驱动机制  /  中部6省
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.
scientific and technological innovation efficiency  /  spatial autocorrelation  /  geographical detector  /  driving mechanism  /  six central provinces
王思成,魏国恩,高明明. 中部6省科技创新效率的空间集聚演进与驱动机制分析. 科技导报, 2023 , 41 (7) : 6 -14 . DOI: 10.3981/j.issn.1000-7857.2023.07.001
WANG Sicheng, WEI Guoen, GAO Mingming. Spatial agglomeration evolution and driving mechanism of science and technology innovation efficiency in six provinces of central China[J]. Science & Technology Review, 2023 , 41 (7) : 6 -14 . DOI: 10.3981/j.issn.1000-7857.2023.07.001
2023年第41卷第7期
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doi: 10.3981/j.issn.1000-7857.2023.07.001
  • 接收时间:2022-08-09
  • 首发时间:2023-04-27
  • 出版时间:2023-04-13
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  • 收稿日期:2022-08-09
  • 修回日期:2022-11-03
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高明明(通信作者),讲师,研究方向为区域产业经济协调发展与治理,电子信箱:9823455@qq.com
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2种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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