中国省际创新网络时空格局演变及其脆弱性评价

doi:10.12118/j.issn.1000-6060.2025.713

干旱区地理 ›› 2026, Vol. 49 ›› Issue (9): 1877-1889.doi: 10.12118/j.issn.1000-6060.2025.713 cstr: 32274.14.ALG2025713

中国省际创新网络时空格局演变及其脆弱性评价

刘宇轩¹(), 蒋子臻¹^,², 张程贺¹, 兰一弘¹, 王梅梅¹^,³()

¹ 兰州大学资源环境学院，甘肃兰州 730000
² 北京大学深圳研究生院城市规划与设计学院，广东深圳 518055
³ 青藏高原人文环境数据智能实验室，甘肃兰州 730000

收稿日期:2025-11-04 修回日期:2026-03-31 出版日期:2026-09-25 发布日期:2026-09-07
通讯作者: 王梅梅（1988-），女，博士，副教授，主要从事人口变动与城市韧性等方面的研究. E-mail: wangmm@lzu.edu.cn
作者简介:刘宇轩（2004-），男，本科生，主要从事城市地理与创新地理等方面的研究. E-mail: 320220946871@lzu.edu.cn
基金资助:
国家自然科学基金(42201198);2024年甘肃省高校青年博士支持项目(2024QB-001)

Spatiotemporal pattern evolution and vulnerability assessment of China’s interprovincial innovation network

LIU Yuxuan¹(), JIANG Zizhen¹^,², ZHANG Chenghe¹, LAN Yihong¹, WANG Meimei¹^,³()

¹ College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
² School of Urban Planning and Design, Peking University, Shenzhen 518055, Guangdong, China
³ Data Intelligence Laboratory of Human-Environment System on Qinghai-Xizang Plateau, Lanzhou 730000, Gansu, China

Received:2025-11-04 Revised:2026-03-31 Published:2026-09-25 Online:2026-09-07

摘要/Abstract

摘要：

在逆全球化与技术封锁的背景下，构建稳健且高效的创新网络体系是保障国家创新安全的重要基础。基于脆弱性视角，构建“结构诊断-脆弱性评估-整体优化”的分析框架，系统刻画2018—2023年中国省际创新网络的时空演化特征及其结构风险。结果表明：（1） 2018—2023年中国省际创新联系持续加密，网络连通性和知识扩散效率不断提高，但空间分异仍然显著，京津冀、长三角与珠三角形成稳定的核心创新枢纽，而东北、西北及西南部分地区长期处于网络边缘位置，整体呈现“核心强化-边缘极化”的结构格局。（2）创新网络社群结构总体保持稳定，合作关系逐渐从跨区域“飞地式”联系向地理邻近或政策协同区域集中，形成以长三角等高密度社群为主导、边缘社群嵌入不足的结构特征。（3）创新合作对少数关键节点存在较强依赖，核心节点连续失效会导致网络效率迅速下降并引发结构断裂，但随着次级节点中介功能的增强，网络逐渐从单一枢纽向多中心结构演变，在一定程度上提升了系统的抗冲击能力。研究从复杂网络视角加深了对区域创新系统结构风险的认识，为统筹创新网络的效率、均衡与安全提供了理论支撑。

关键词: 创新网络, 专利合作, 时空格局, 脆弱性

Abstract:

Due to deglobalization and technological restrictions, building a robust and efficient innovation network system is a critical foundation for safeguarding national innovation security. From the perspective of vulnerability, this study constructs an analytical framework of “structural diagnosis-vulnerability assessment-overall optimization” to systematically examine the spatiotemporal pattern evolution and structural risks of China’s interprovincial innovation network from 2018 to 2023. The results reveal the following: (1) The intensity of interprovincial innovation linkages in China continuously increased from 2018 to 2023, and both network connectivity and knowledge diffusion efficiency improved. However, significant spatial disparities remain. The Beijing-Tianjin-Hebei region, the Yangtze River Delta, and the Pearl River Delta have formed stable core innovation hubs, while parts of northeast, northwest, and southwest China are still on the network periphery, resulting in an overall structural pattern characterized by “core strengthening and peripheral polarization”. (2) The community structure of the innovation network remains generally stable. Innovation collaborations have gradually shifted from cross-regional “enclave-type” connections toward geographically proximate or policy-coordinated regions, forming a structure dominated by high-density communities, such as the Yangtze River Delta, while peripheral communities remain insufficiently embedded. (3) Innovation collaboration has strong dependence on a few key nodes. Continuous failures of core nodes may rapidly reduce network efficiency and trigger structural fragmentation. However, as the intermediary roles of secondary nodes strengthen, the network gradually evolves from a single-hub structure toward a polycentric structure, thereby enhancing the system’s resilience to shocks to some extent. This study deepens our understanding of structural risks in regional innovation systems from the perspective of complex networks and provides theoretical support for balancing efficiency, equity, and security in the development of innovation networks.

Key words: innovation network, patent cooperation, spatiotemporal pattern, vulnerability

刘宇轩, 蒋子臻, 张程贺, 兰一弘, 王梅梅. 中国省际创新网络时空格局演变及其脆弱性评价[J]. 干旱区地理, 2026, 49(9): 1877-1889.

LIU Yuxuan, JIANG Zizhen, ZHANG Chenghe, LAN Yihong, WANG Meimei. Spatiotemporal pattern evolution and vulnerability assessment of China’s interprovincial innovation network[J]. Arid Land Geography, 2026, 49(9): 1877-1889.

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网络类型	研究方向
交通类型网络	风险控制^[13]、变化方式^[14]、对比评价^[15]、结构评价^[16]等
产业集群网络	结构优化^[17-18]、风险预防^[19]、格局演化^[20]等
知识创新网络	创新绩效^[21]、结构韧性^[22]、间接调控^[23]等

年份	网络直径	图密度	平均路径长度	全局效率
2018—2020	2	0.538	1.462	0.768
2021—2023	2	0.596	1.404	0.798

年份	平均度	平均加权度	聚类系数
2018—2020	16.129	525.806	0.769
2021—2023	17.871	716.258	0.803

省级行政区	2018—2020年	2021—2023年	省级行政区	2018—2020年	2021—2023年
北京	36.25	28.40	辽宁	5.12	6.21
安徽	5.78	3.14	内蒙古	0.14	0.97
福建	3.73	0.39	宁夏	1.52	0.00
甘肃	0.50	0.34	青海	0.08	0.90
广东	28.76	14.60	山东	11.42	8.25
广西	0.00	0.71	山西	1.32	0.38
贵州	0.49	0.91	陕西	7.01	9.64
海南	0.40	0.66	上海	16.79	20.34
河北	5.38	3.62	四川	8.13	12.85
河南	6.78	1.60	天津	3.58	16.46
黑龙江	0.32	0.42	西藏	0.00	0.48
湖北	19.13	10.14	新疆	1.01	0.93
湖南	8.07	5.53	云南	0.20	1.05
吉林	0.00	0.16	浙江	10.40	8.06
江苏	28.03	28.40	重庆	4.07	1.74
江西	0.57	0.71

年份	攻击比例/%	平均聚类系数	全局效率	平均度	最大连通子图比例
2018—2020	0.0	0.769	0.769	16.129	0.170
	25.8	0.517	0.639	7.167	0.170
	38.7	0.316	0.550	4.100	0.170
	54.8	0.000	0.137	1.200	0.053
2021—2023	0.0	0.803	0.798	17.871	0.170
	32.3	0.565	0.596	6.818	0.170
	48.4	0.196	0.331	2.471	0.170
	71.0	0.000	0.133	1.000	0.135

中国省际创新网络时空格局演变及其脆弱性评价

Spatiotemporal pattern evolution and vulnerability assessment of China’s interprovincial innovation network

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