【摘要】 区域合作是促进边缘区创新发展的重要途径。本文基于2005—2020年长三角地区城市合作专利和经济发展数据，采用社会网络分析方法，考察了长三角地区边缘城市在本地、省内、长三角内和全国范围内4种空间尺度的创新合作特征，通过OLS面板回归模型评估了不同尺度创新合作对创新绩效的影响。研究表明：(1)边缘城市在不同空间尺度的微观核心创新合作主体存在差异。本地合作以传统产业内企业和地方高校为核心，省内及长三角合作由“双一流”高校和高技术企业主导，而全国合作则集中于国有电力企业之间，未能与高能级创新主体形成广泛联动。(2)边缘城市本地创新结网能力较弱，跨区域创新合作具有距离衰减和择优联结特征。创新合作模式包括本地与跨区域合作均较弱的“孤岛型”，以及相对兼具内外联结合作特征的“联结型”两类。(3)省内尺度对促进边缘城市创新绩效提升最为显著，其次为长三角尺度，而本地和全国尺度合作的影响均不显著。“孤岛型”城市仅受益于省内尺度合作，而“联结型”城市则依赖长三角尺度合作。本文丰富了边缘区创新发展和多尺度创新体系的研究，为边缘城市创新发展策略制定提供了科学参考。更多还原

【Abstract】 Inter-regional collaboration plays a crucial role in promoting innovation development in peripheral regions. Based on patent and economic development data from cities in the Yangtze River Delta from 2005 to 2020, this study employs social network analysis methods to examine the characteristics of innovation collaboration among peripheral cities across four spatial scales: local, provincial, regional(within Yangtze River Delta), and national. Using an OLS panel regression model, this study further evaluates the effect of various types of collaboration on the innovation performance of peripheral cities. The results show that:(1) The key participants in innovation collaboration of peripheral cities vary significantly across spatial scales. Local collaboration is predominantly driven by traditional manufacturing firms and local universities. Within the provincial and Yangtze River Delta scales, collaboration is mainly dominated by “Double First Class” universities and high-tech enterprises, while national-level collaboration is primarily led by state-owned electric power corporations.(2) Peripheral cities exhibit weak local innovation network connectivity, while cross-regional collaboration is characterized by distance decay and preferential attachment. Innovation collaboration patterns can be classified into two types: the isolated type, which is characterized by weak connections in both local and cross-regional cooperation, and the connected type, which shows relatively strong linkages both internally and externally.(3) Among the four spatial scales, provincial collaboration has the strongest positive effect on innovation performance, followed by regional collaboration within the Yangtze River Delta, whereas local and national collaboration show no significant impact. Isolated cities benefit primarily from provincial-scale cooperation, while connected cities rely more on regional-scale collaboration. These findings contribute to the understanding of innovation development in peripheral areas and provide insights for policymakers, aiming to strengthen multi-scalar innovation networks.更多还原