摘要
加快构建新质生产力空间关联网络是优化资源配置、深化产业升级的关键支撑,也是健全因地制宜发展新质生产力体制机制、推进区域协调发展战略的有力抓手。基于2012—2022年中国31个省份数据,构建新质生产力评价指标体系,采用修正的引力模型、社会网络分析法考察新质生产力空间关联网络特征,使用QAP回归分析法探析其形成机制,借助空间计量回归模型揭示新质生产力空间关联网络效应。研究发现:(1)中国新质生产力空间关联网络密度呈上升态势,网络效率有所下降,小世界熵数逐年递增;(2)中国新质生产力空间关联网络具有明显的“中心—边缘”结构特征,“板块内强、板块间弱”的块模型特征较为明显;(3)新劳动对象、新技术空间关联是新质生产力空间关联的主要成因,其它因素的影响作用不显著;(4)网络效应方面,空间关联整体结构特征对新质生产力发展水平提升与地区差异缩小具有显著正向驱动作用,但个体结构特征的影响作用较小。
Accelerating the development of a spatial network of new quality productive forces is essential for optimizing resource allocation and advancing industrial upgrading.It also represents a crucial mechanism for improving locally tailored institutional arrangements and promoting regional coordinated development.Currently,China's new quality productive forces exhibit pronounced spatial imbalances.A fully efficient and synergistic inter-provincial development pattern has yet to emerge,with persistent challenges including restricted factor flows and inadequate regional cooperation.These obstacles hinder both the overall advancement of new-quality productive forces and the realization of balanced regional development.In this context,this study addresses two core questions:What structural characteristics define China's spatial network of new quality productive forces,and what network effects does it produce?Answering these questions is of considerable theoretical and practical significance for optimizing the spatial configuration of new quality productive forces and fostering high-quality regional coordination.Using data from 31 provinces in China from 2012 to 2022,this study constructs an evaluation index system for new-quality productive forces across five dimensions:new laborers,new labor means,new labor objects,new technologies,and new production organizations.A composite measure is derived through the entropy weight method.A modified gravity model is then applied to establish a provincial-level spatial network of new quality productive forces,and social network analysis is used to examine its overall and node-level structural features as well as block models.To examine the individual characteristics of the spatial correlation network of new-quality productive forces,this study analyzes three dimensions—degree centrality,betweenness centrality,and closeness centrality—to reveal the status and role of each province as a node in the spatial correlation network.QAP regression is then employed to identify the mechanisms shaping the network,and spatial-econometric models are used to test its effects.The key findings are as follows.First,at the overall network level,the density of China's spatial network of new quality productive forces continues to increase.At the same time,efficiency declines,small-world characteristics strengthen,and a clear“core-periphery”structure emerges.Although interregional collaboration is improving,it remains below the optimal level.Second,at the node level,eastern provinces such as Beijing,Jiangsu,and Shanghai consistently occupy central positions,exerting strong siphoning and intermediary effects,whereas most western and northeastern provinces remain peripheral,marked by significant spillovers and limited cross-regional collaboration.Third,block model analysis reveals strong intra-block but weak inter-block connections:the eastern and central regions form a“bidirectional spillover”block,while most western and northeastern regions function as“net beneficiaries”or“primary beneficiaries”,reflecting limited integration across regions.Fourth,in terms of formation mechanisms,the spatial associations of new labor objects and new technologies are the primary drivers of network formation,while the contributions of new laborers,new labor means,and new production organizations remain limited.Fifth,regarding network effects,overall network density has a significant positive impact on enhancing the development of new quality productive forces and narrowing regional disparities,whereas the influence of node-level structural features is relatively modest.Moreover,educational development and government intervention further strengthen collaborative improvements in new quality productive forces.To optimize the spatial network of new quality productive forces and enhance regional synergy,this study proposes several policy recommendations.First,policymakers should refine the national spatial configuration of new quality productive forces,promote cross-regional collaborative innovation platforms,and remove administrative barriers.Second,they should reinforce the radiating and driving functions of core provinces while improving the embeddedness of peripheral regions.Third,cross-block linkage mechanisms should be established to facilitate wider resource flows and sharing.Fourth,policymakers should prioritize critical drivers such as new technologies and new labor objects in building regional collaborative innovation networks.Finally,they should improve the governance framework for the spatial network of new quality productive forces to facilitate cross-regional coordination and institutional integration in areas such as education and governmental regulation.
作者
王哲
刘文斐
杨宁
赵韦舒
Wang Zhe;Liu Wenfei;Yang Ning;Zhao Weishu(School of Public Administration,Shanghai University of Finance and Economics,Shanghai 200433,China;The Wang Yanan Institute for Studies in Economics,Xiamen University,Xiamen 361005,China;School of Public Administration,Zhejiang University,Hangzhou 310058,China;School of Business Administration,Nanjing University of Finance and Economics,Nanjing 210023,China)
出处
《科技进步与对策》
北大核心
2026年第6期53-63,共11页
Science & Technology Progress and Policy
基金
国家社会科学基金青年项目(24CJY136)
中央高校科研业务费专项资金(CXJJ-2024-315)。
关键词
新质生产力
空间关联
社会网络分析
形成机制
网络效应
New Quality Productive Forces
Spatial Correlation
Social Network Analysis
Formation Mechanism
Network Effect
