全国—地方视角下山东半岛城市群多层创新网络腹地及影响因素

盛科荣; 陈嘉仪; 李亚泽

doi:10.13959/j.issn.1003-2398.2026.03.010

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人文地理 ›› 2026, Vol. 41 ›› Issue (3) : 98-108. DOI: 10.13959/j.issn.1003-2398.2026.03.010

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全国—地方视角下山东半岛城市群多层创新网络腹地及影响因素

盛科荣, 陈嘉仪, 李亚泽

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MULTILAYER INNOVATION NETWORK HINTERLAND AND DETERMINANTS OF SHANDONG PENINSULA URBAN AGGLOMERATION FROM A NATIONAL-LOCAL PERSPECTIVE

SHENG Ke-rong, CHEN Jia-yi, LI Ya-ze

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摘要

本文以山东半岛城市群为研究对象，从全国—地方两个空间尺度出发，基于由城际专利转移网络、论文合著网络和风险资本投资网络构建的多层城市创新网络，解析了2010年、2015年、2020年和2023年山东半岛城市群多层创新网络腹地关系的时空特征及影响因素。研究表明：①从自我网络规模、弱连通分量比例和接近效率指标演变来看，山东半岛城市群在中国多层创新网络中的腹地关联日益密切，同时网络结构日益呈现多中心、分散化的演化趋势。②从地方尺度来看，省会经济圈内部及其与胶东经济圈的多层腹地关联最为紧密；从全国尺度来看，多层腹地关联集中于京津冀、长三角和粤港澳城市群；城市分化为4种角色，其中济南承担区域核心节点，青岛和烟台扮演次核心节点角色。③城市对偶的创新能力、行政等级、数字经济发展水平与高铁连通性对多层腹地关系产生正向影响，而经济梯度与地理距离则起到抑制作用。本文不仅为构建多层创新网络空间组织演化理论模型提供实证依据，也为山东半岛城市群优化开放式创新体系提供决策参考。

Abstract

Focusing on the Shandong Peninsula urban agglomeration, this study examines the spatiotemporal patterns and influencing factors of multilayer hinterland relationships within urban innovation networks from both national and local spatial perspectives. The analysis is based on a multilayer innovation network constructed from intercity patent transfers, scientific co-authorships, and venture capital investments, using data from the years 2010, 2015, 2020, and 2023. Three conclusions are drawn. First, in terms of self-network size,the proportion of weak components and reach efficiency, the Shandong Peninsula urban agglomeration has been increasingly integrated into China's multi-level innovation network, with its network structure gradually evolving towards a polycentric and decentralized pattern. Second, at the local scale, the multilayer hinterland ties are especially strong within the Provincial Capital Economic Circle and between it and the Jiaodong Economic Circle, while the Lunan Economic Circle exhibits relatively weak internal and external connections.At the national scale, multilayer hinterland linkages are primarily concentrated with cities in the BeijingTianjin-Hebei, Yangtze River Delta, and Guangdong-Hong Kong-Macao urban agglomerations. Third, the paired cities' innovation capacity, administrative rank, level of digital economy development, and high-speed rail connectivity have positive effects on multilayer hinterland relationships, while GDP gradients and geographic distance exert negative impacts.

导出引用

盛科荣, 陈嘉仪, 李亚泽. 全国—地方视角下山东半岛城市群多层创新网络腹地及影响因素[J]. 人文地理. 2026, 41(3): 98-108 https://doi.org/10.13959/j.issn.1003-2398.2026.03.010

SHENG Ke-rong, CHEN Jia-yi, LI Ya-ze. MULTILAYER INNOVATION NETWORK HINTERLAND AND DETERMINANTS OF SHANDONG PENINSULA URBAN AGGLOMERATION FROM A NATIONAL-LOCAL PERSPECTIVE[J]. HUMAN GEOGRAPHY. 2026, 41(3): 98-108 https://doi.org/10.13959/j.issn.1003-2398.2026.03.010

中图分类号： F290

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[28] (1)本文还将样本划分为群内关系和群外关系进行分组回归。结果显示,在群内关系回归中,行政等级、产业结构高级化指数的系数规模相对较大;而在群外关系回归中,创新指数、数字经济发展指数、经济梯度、高铁连通性和地理距离变量的系数规模更为突出。受篇幅所限,具体结果未在文中呈现。