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数字制造技术创新跨国溢出网络时空演化及驱动机制研究

Research on the Spatiotemporal Evolution and Driving Mechanism of Transnational Spillover Network of Digital Manufacturing Technology Innovation

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文章在准确衡量数字制造技术创新跨国溢出的基础上,采用复杂网络分析法,构建数字制造技术创新跨国前后向溢出两类网络,并在考察网络动态演化特征及具体溢出路径的基础上,采用时间指数随机图模型(TERGM)和可分离的时间指数随机图模型(STERGM)分析网络空间演化的驱动机制.研究结果表明:数字制造技术创新跨国前后向溢出网络节点数不断增加,溢出联系不断加强,且存在较强的集聚效应和异质性,呈明显的"小世界"特征;中、美、日等亚太经济体属于主受益板块,而新加坡、奥地利和大部分其他欧洲经济体属于双向溢出或主溢出板块;美国、德国、英国、新加坡等经济体始终具有较强的直达权力、通达权力、中介权力和借势权力,而中国在两类网络中的直接影响力、反控制力、中介控制力和波及影响力也迅速攀升,并超过美德等核心经济体;数字制造技术创新跨国溢出网络存在明显的等级效应和时间依赖效应;数字制造技术创新水平高、数字基础设施完善、数字制造业规模大的经济体更倾向于发送数字制造技术创新溢出,且数字制造业规模大的经济体也倾向于接收更多数字制造技术创新溢出;数字制造业规模、数字制造技术创新和数字制造业价值链地位接近的经济体之间更容易建立数字制造技术创新溢出联系;地理距离抑制了数字制造技术创新溢出关系的形成,但共同语言相反.
On the basis of accurately measurement of the overflow in digital manufacturing technology innovation,a complex network analysis method is employed to construct two types of networks overflowing before and after cross-country technology,and on the basis of inspecting the characteristics of network dynamic evolution and the specific overflow paths,the analysis utilizes Figure model(Tergm)and separated time index random chart model(Stergm)to investigate the driving mechanisms of network spatial evolution.The results show that the number of digital manufacturing technology innovation has continued to increase the number of overflowing network nodes before and after the cross-border,and the connections among these nodes have been consistently strengthened.There are strong agglomeration effects and heterogeneity,showing a clear"small world"feature.The Asia-Pacific economies such as China and the United States and Japan belong to the main beneficiary sector,while Singapore,Austria and most other European economies belong to the two-way overflow or main over-flow sectors.The United States,Germany,the United Kingdom,Singapore and other economies have always possessed strong direct pow-er,access power,intermediary power,and influence.China's direct influence,counter-control,intermediary control and impact on the two types of networks has also risen rapidly,exceeding those of the core economies such as the United States and Germany.There are ob-vious hierarchical effects and time-dependent effects in digital manufacturing technology innovation.Economies with high levels of digital manufacturing innovation,perfect digital infrastructure,and large-scale digital manufacturing industries are more inclined to send out digit-al manufacturing technology overflow,and economies with large digital industry scale also tend to receive more digital technology overflow.The size of the digital industry scale,digital technology innovation,and digital industry value chain are more likely to establish connections for digital technology overflow.Geographical distance inhibits the formation of digital technology spillover relationship,but linguistic prox-imity has the opposite effect.

赵立斌、张梦雪、谢璐羽

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河北大学经济学院

复旦大学经济学院

数字制造技术创新 跨国溢出网络 前后向关联 TERGM与STERGM

2024

世界经济研究
上海社科院世界经济研究所

世界经济研究

CSTPCDCSSCICHSSCD北大核心
影响因子:1.401
ISSN:1007-6964
年,卷(期):2024.(11)