摘要
The global value chain(GVC)is a central driver of the international division of labor and a critical lens for understanding global economic dynamics.This study constructs a long-term GVC network dataset using multi-regional input-output(MRIO)tables and input-output analysis techniques.By integrating advanced network analysis algorithms,this study characterizes the macrostructure and spatiotemporal evolution of the GVC network,examines its topological features,and evaluates the evolution of its structural resilience.The main findings are as follows:(1)Value flows among major economies form a hierarchical structure,and value distribution is highly uneven across space.The GVC network has expanded and densified over time,with rising value flows in East Asia,evolving from a dual-center structure centered on Europe and North America to a tri-polar structure comprising Europe,North America,and East Asia.(2)The core-periphery structure of the GVC network is pronounced,and a node’s position is determined by both the scale of its participation and the diversification of its value linkages.(3)The backbone structure of the GVC network has shifted from a single core centered on the United States to a dual-core system led by China and the United States,while Europe and Japan provide stabilizing support.Over time,the backbone structure has evolved with a trend of eastward shift and increasing globalization characteristics.(4)Overall resilience of the GVC network is limited and follows a four-stage evolutionary trajectory,with major international shocks serving as turning points.These findings elucidate the node and structural characteristics of the GVC network,contributing to a deeper understanding of global economic dynamics and the process of economic globalization.
基金
National Natural Science Foundation of China,No.42571218,No.42130508,No.42230406。
