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

HUMAN GEOGRAPHY ›› 2026, Vol. 41 ›› Issue (3) : 98-108.

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

Key words

national-local scale / multilayer innovation network hinterland / ego network / multidimensional proximity / Shandong Peninsula Urban Agglomeration

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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

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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。
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