Spatiotemporal Evolution and Stability of the International Crude Oil Trade Network, 2000–2023

Existing research on crude oil trade networks has largely focused on their static structural characteristics. However, systematic quantitative assessments of network stability, as well as examinations of the relationship between structural characteristics and stability, remain relatively limited. Based on United Nations Commodity Trade Statistics from 2000 to 2023, this study constructs an international crude oil trade network. By integrating complex network analysis with spatiotemporal methods, the study examines the network’s evolutionary patterns, evaluates its stability from both topological and flow dimensions using Jaccard similarity and weighted similarity indicators, and applies Spearman’s rank correlation to explore the associations between structural characteristics and stability. The results indicate that the following: (1) the international crude oil trade network exhibits a hierarchical core-periphery structure, with overall trade linkages between countries becoming increasingly tight; (2) key inflection points in network stability are correlated with major international events, and these correlations manifest differently across the dimensions of trade structure and trade flows; and (3) modularity is negatively correlated with topological stability and positively correlated with flow stability, while degree assortativity shows no significant association with either topological stability or flow stability, revealing that although the core-periphery structure enhances the resilience of trade scale, it may simultaneously weaken the flexibility of partnerships.

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Publication Details

Journal
Sustainability
Published
2026-04-27
DOI
https://doi.org/10.3390/su18094303
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00

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Spatiotemporal Evolution and Stability of the International Crude Oil Trade Network, 2000–2023

K eqin Li, Donghai Liu, Yi Zhou, Kun Qin et al.
Sustainability
Economic and Technological Innovation
article

Spatiotemporal Evolution and Stability of the International Crude Oil Trade Network, 2000–2023

K eqin Li, Donghai Liu, Yi Zhou, Kun Qin, Z L Yang, Weiyuan Xu, Jingyi Zhang, Qixin Wang
article en

Abstract

Existing research on crude oil trade networks has largely focused on their static structural characteristics. However, systematic quantitative assessments of network stability, as well as examinations of the relationship between structural characteristics and stability, remain relatively limited. Based on United Nations Commodity Trade Statistics from 2000 to 2023, this study constructs an international crude oil trade network. By integrating complex network analysis with spatiotemporal methods, the study examines the network’s evolutionary patterns, evaluates its stability from both topological and flow dimensions using Jaccard similarity and weighted similarity indicators, and applies Spearman’s rank correlation to explore the associations between structural characteristics and stability. The results indicate that the following: (1) the international crude oil trade network exhibits a hierarchical core-periphery structure, with overall trade linkages between countries becoming increasingly tight; (2) key inflection points in network stability are correlated with major international events, and these correlations manifest differently across the dimensions of trade structure and trade flows; and (3) modularity is negatively correlated with topological stability and positively correlated with flow stability, while degree assortativity shows no significant association with either topological stability or flow stability, revealing that although the core-periphery structure enhances the resilience of trade scale, it may simultaneously weaken the flexibility of partnerships.

SustainabilityVol. 18(9)
Peking University (CN), Wuhan University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Partnerships for the goals
Openalex Percentile: Top 4%
Economic and Technological Innovation
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