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2. School of Economics and Management, Anhui Normal University, Wuhu 241002, China;
3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=LVysDQ5C7x5WRq4ERhTG5w==, pdfFileSize=2551686, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139603340177601, articleId=1242139600307692324, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=长三角区域科技创新资源空间差异及创新效应, columnId=1242139601205276849, journalTitle=科技导报, columnName=专题:长三角一体化高质量发展, runingTitle=null, highlight=null, articleAbstract=科技创新资源是区域开展创新活动的基石,在区域经济发展中占有举足轻重的地位。以长三角区域41个城市为研究对象,基于全局和局部自相关等方法,重点分析了2000—2018年长三角区域研发经费、研发人员、企业等科技创新资源的空间分布及动态演变特征,并运用多元回归模型分析了科技创新资源对区域创新能力的影响。研究发现,长三角区域科技创新资源总体较为丰富,大致呈现出合肥-南京-苏州-上海-杭州-宁波等城市构成的Z形空间格局,空间差异在2000—2018年呈现出不断缩小的态势,科技创新资源对区域创新能力均具有显著的促进作用,随着科技创新资源空间分布的越来越均衡,区域创新能力也相应呈现出越来越高的趋势。提出了促进长三角区域创新发展的对策建议。, authors=曹贤忠1 , 叶雷2 , 易臻真1 , 孙东琪3 , authorsList=曹贤忠, 叶雷, 易臻真, 孙东琪, authorCompany=1. 华东师范大学中国现代城市研究中心, 上海 200062;
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科技导报
| 专题:长三角一体化高质量发展 2021, 39(24): 22-29
长三角区域科技创新资源空间差异及创新效应
全屏
曹贤忠1 , 叶雷2 , 易臻真1 , 孙东琪3
作者信息
1. 华东师范大学中国现代城市研究中心, 上海 200062;
2. 安徽师范大学经济管理学院, 芜湖 241002;
3. 中国科学院地理科学与资源研究所, 北京 100101
Spatial distribution and development strategies of science and technology innovation resources in Yangtze River Delta regions
Affiliations
出版时间: 2021-12-28
doi: 10.3981/j.issn.1000-7857.2021.24.003
文章导航
科技创新资源是区域开展创新活动的基石,在区域经济发展中占有举足轻重的地位。以长三角区域41个城市为研究对象,基于全局和局部自相关等方法,重点分析了2000—2018年长三角区域研发经费、研发人员、企业等科技创新资源的空间分布及动态演变特征,并运用多元回归模型分析了科技创新资源对区域创新能力的影响。研究发现,长三角区域科技创新资源总体较为丰富,大致呈现出合肥-南京-苏州-上海-杭州-宁波等城市构成的Z形空间格局,空间差异在2000—2018年呈现出不断缩小的态势,科技创新资源对区域创新能力均具有显著的促进作用,随着科技创新资源空间分布的越来越均衡,区域创新能力也相应呈现出越来越高的趋势。提出了促进长三角区域创新发展的对策建议。
科技创新
/
创新资源
/
区域发展
/
空间分布
/
长三角
Science and technology innovation resources are the cornerstone of the regional innovation activities and play an important role in the regional economic development. The spatial distribution of the innovation resources is a focus of the economic and geographic studies. Based on the global and local autocorrelation methods, this paper studies the spatial distribution and the dynamic evolution of the scientific and technological innovation resources in the Yangtze River Delta regions from 2000 to 2018, including the R&D funds, the R&D personnel, and the innovative enterprises, and with the help of multiple regression models, analyzes the impact of the scientific and technological innovation resources on the regional innovation capability. It is shown that the Yangtze River Delta regions are rich in scientific and technological innovation resources, in a spatial “Z” pattern composed of Hefei, Nanjing, Suzhou, Shanghai, Hangzhou, and Ningbo among other cities, and the spatial difference shows a shrinking trend from 2000 to 2018. It is shown that the scientific and technological innovation resources play a significant role in promoting the regional innovation capacity. As the spatial distribution of the scientific and technological innovation resources becomes more and more balanced, the regional innovation capacity correspondingly presents a higher and higher trend. This paper puts forward some countermeasures and suggestions to promote the innovation and the development of the Yangtze River Delta regions.
technological innovation
/
innovation resources
/
regional development
/
spatial distribution
/
Yangtze River Delta
曹贤忠, 叶雷, 易臻真, 孙东琪.
长三角区域科技创新资源空间差异及创新效应.
科技导报,
2021
, 39
(24)
: 22
-29
.
DOI: 10.3981/j.issn.1000-7857.2021.24.003
CAO Xianzhong, YE Lei, YI Zhenzhen, SUN Dongqi.
Spatial distribution and development strategies of science and technology innovation resources in Yangtze River Delta regions[J].
Science & Technology Review ,
2021
, 39
(24)
: 22
-29
.
DOI: 10.3981/j.issn.1000-7857.2021.24.003
2021年第39卷第24期
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2021.24.003
接收时间:2021-04-15
首发时间:2022-01-08
出版时间:2021-12-28
收稿日期:2021-04-15
修回日期:2021-10-29
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2021.24.003
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 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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