Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation

城市群 三角洲 经济地理学 区域科学 正相关 长江 透视图(图形) 相关性 中国 集聚经济 地理 政府(语言学) 业务 计算机科学 经济增长 经济 数学 工程类 医学 语言学 哲学 几何学 考古 人工智能 内科学 航空航天工程
作者
Tao Zhuang,Shuliang Zhao
出处
期刊:Technology in Society [Elsevier BV]
卷期号:69: 101974-101974 被引量:16
标识
DOI:10.1016/j.techsoc.2022.101974
摘要

In the regional innovation system (RIS), the triple helix (TH) relations of university, industry, government (UIG) have received wide attention, but the spatial correlation involving various innovation subjects has rarely been deeply analyzed, especially in urban agglomeration. Based on the triple helix perspective, this paper integrates the collaborative coupling relationship between innovation subjects and the spatial correlation between regions in the RIS under a theoretical framework. Two types of collaborative innovation networks are constructed: one is the collaborative coupling network between UIG, one is the spatial correlation network between different areas. Using the invention patent data of provinces in the Yangtze River Delta (YRD) from 2014 to 2018, and on account of the TH algorithm based on mutual information, to explore the collaborative innovation relationship from the two dimensions of collaborative coupling among innovation subjects and spatial correlation among regions. The results show that:(1) Jiangsu has an obvious leading advantage in the total amount of invention patents, Zhejiang and Anhui have witnessed a rapid growth of patent output. (2) In the YRD region, the collaboration between university and industry is the closest, the UIG collaborative relationship is close in Shanghai, the collaborative relationship between industry and university in Jiangsu is close. (3) The bilateral correlation between Jiangsu and the other three provinces is relatively strong; the bilateral correlation between Zhejiang and the other three provinces tends to be close. The trilateral correlation among Jiangsu, Zhejiang, and Anhui is relatively close. This study expands the application fields of the TH theory and provides a new perspective and method for RIS research. The research results offer helpful theoretical support and policy inspiration for accurately grasping the development law of the regional innovation in the YRD and coordinating the relationship between different subjects and different regions in the innovation network.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
小山己几完成签到,获得积分10
1秒前
2秒前
Bonaventure发布了新的文献求助10
2秒前
Alibizia发布了新的文献求助10
2秒前
ZJH发布了新的文献求助10
2秒前
青衣完成签到,获得积分10
2秒前
科研通AI6.4应助钱罐罐采纳,获得10
3秒前
科研通AI6.4应助钱罐罐采纳,获得10
3秒前
4秒前
4秒前
樱落完成签到,获得积分10
4秒前
4秒前
Chenjw完成签到,获得积分10
5秒前
美晶发布了新的文献求助10
5秒前
hhh完成签到,获得积分10
6秒前
搜集达人应助砚行书采纳,获得10
6秒前
6秒前
练的身形似鹤形完成签到,获得积分20
6秒前
JamesPei应助李海翔采纳,获得10
6秒前
Nicole发布了新的文献求助10
6秒前
DaShuaiGe完成签到,获得积分10
6秒前
esyncoms发布了新的文献求助10
6秒前
我是老大应助hubben采纳,获得10
7秒前
7秒前
乐乐应助Neaco采纳,获得10
8秒前
8秒前
8秒前
爱生活爱学习完成签到,获得积分10
8秒前
9秒前
Tian发布了新的文献求助10
9秒前
欣喜发布了新的文献求助30
9秒前
lenetivy发布了新的文献求助10
9秒前
10秒前
SciGPT应助lizhiqian2024采纳,获得10
10秒前
10秒前
Alibizia完成签到,获得积分20
11秒前
11秒前
11秒前
激情的冰绿完成签到 ,获得积分10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
The recovery-stress questionnaires : user manual 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7258843
求助须知:如何正确求助?哪些是违规求助? 8880808
关于积分的说明 18764245
捐赠科研通 6939299
什么是DOI,文献DOI怎么找? 3201445
关于科研通互助平台的介绍 2375349
邀请新用户注册赠送积分活动 2177240