Abstract：To promote the coordinated and high-quality development of China's economy, this study combines the theory of flow-based economy and multiplex network analysis methods to construct a network model of material, capital, and technology information flow among cities. The entropy-based multi-attribute node importance measurement method is applied to propose a new framework for measuring the level of urban economy. Research shows that urban network structure is closely related to changes in macroeconomic conditions. The output results of the constructed economic level measurement model are consistent with authoritative survey reports, thus proving its effectiveness. Further studies reveal notable urban economic disparities across China's regions, with the east and the Yangtze River Delta in the lead. Positive trends emerged in the west and northeast due to policy guidance, but the central and Bohai Economic Circle still need more policy support. The flow of technological information is crucial for the upgrading of economic levels in economically developed regions. In contrast, the growth of levels in underdeveloped regions relies more on new capital investment.
师妍, 张自力, 赵学军. 城市流量型经济多重网络结构分析与能级测度[J]. 复杂系统与复杂性科学, 2026, 23(1): 96-103.
SHI Yan, ZHANG Zili, ZHAO Xuejun. Urban Economic Flow Structure and Economic Energy Level Measurement from the Perspective of Multiplex Networks[J]. Complex Systems and Complexity Science, 2026, 23(1): 96-103.
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