Prediction of global trade network evolution with uncertain multi-step time series forecasting method
Author:
Funder
National Natural Science Foundation of China
Beijing Municipal Commission of Education
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10700-024-09426-w.pdf
Reference25 articles.
1. Distefano, T., Tuninetti, M., Laio, F., & Ridolfi, L. (2020). Tools for reconstructing the bilateral trade network: A critical assessment. Economic Systems Research, 32(3), 378–394.
2. Fagiolo, G., Reyes, J., & Schiavo, S. (2009). World-trade web: Topological properties, dynamics, and evolution. Physical Review E, 79(3), 36115.
3. Fortunato, S. (2010). Community detection in graphs. Physics Reports, 486(3–5), 75–174.
4. Garlaschelli, D., & Loffredo, M. I. (2005). Structure and evolution of the world trade network. Physica A: Statistical Mechanics and its Applications, 355(1), 138–144.
5. Johnson, R. C., & Noguera, G. (2012). Accounting for intermediates: Production sharing and trade in value added. Journal of International Economics, 86(2), 224–236.
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