Tingzhu Li   中级

山西武乡人,博士,硕士生导师,扬州大学“青年百人”,中国共产党党员。2024年6月毕业于华东师范大学地理科学学院,获人文地理学博士学位。研究方向为经济地理与区域创新发展,以第一作者身份在Structual Change and Economic Dynamics、Sustainable Development、Applied Geography、Journal of International Trade & Economic Development、《地理学报》《地理研究》《地理科学》等国内外经济学和地理学权威期刊上发表...Detials

Structural Evolution of global cross-border R&D investment network and its influencing factors

Release time:2025-11-04  Hits:

  • Impact Factor:9.926
  • Journal:Acta Geographica Sinica
  • Key Words:R&D全球化; 跨境投资; 网络结构; 动态演化; 影响机制
  • Abstract:Against the backdrop of a new wave of technological revolution and industrial transformation, cross-border R&D investments have become increasingly frequent, forming a complex global network structure. Existing studies mostly focus on changes in cross-border R&D investment stock, with limited attention to the relationships between cross-border R&D investments among countries. and fail to take into account the influence of the geopolitics on the evolution of its structure. This paper uses cross-border R&D investment data from 2003 to 2022 recorded in the fDi Markets database to construct a global cross-border R&D investment network. It analyzes the evolutionary characteristics of the network's topological, spatial, and relational structures and employs econometric models to quantitatively reveal the factors influencing network structure evolution. The results show that: (1) In terms of topological structure, the scale and density of the global cross-border R&D investment network have increased rapidly. The network’s outdegree connections exhibit a clear trend of decentralization, while the indegree connections show an enhanced degree of clustering. (2) In terms of spatial structure, while the triangle pattern formed by North America, Western Europe, and East Asia has developed steadily, the rise of emerging countries has driven the initial emergence of a global multipolar pattern. The network connections are always based on the interregional connections, and he network exhibits no significant spatial homogeneity. (3) In terms of relational structure, the global cross-border R&D investment network exhibits a multi-core interconnected structure of core-periphery relations, where developed countries in Europe and North America occupy the core positions of the network. (4) In terms of influencing factors, the evolution of global cross-border R&D investment network structure is affected by the enterprise investment motivation, location factor endowment and geopolitical factors, among which the variables of national market and economy, technology and knowledge, R&D personnel and foundation show a significant positive driving effect, and international trade sanction and financial sanction show a negative inhibiting effect. There is also a significant difference between the influencing factors of outdegree and indegree networks, with a negative correlation between R&D personnel and the centrality of outdegree networks, and a negative influence of economic development, technological innovation, and the R&D base environment on the centrality of indegree networks.
  • Note:扬州大学人文社会科学一级权威期刊
  • Co-author:Du Debin,Hou Chunguang
  • First Author:Li Tingzhu
  • Indexed by:Research Atricle
  • Correspondence Author:Huang Xiaodong
  • Discipline:Natural Science
  • First-Level Discipline:Geography
  • Document Type:CSSCI
  • ISSN No.:0375-5444
  • Translation or Not:no
  • CN No.:11-1856/P
  • Date of Publication:2025-12-24