The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
The World Trade Network
Open accessAbstract
This study uses the tools of network analysis to graphically and analytically represent the characteristics of world trade. The structure of the World Trade Network is compared over time, detecting and interpreting patterns of trade ties among countries. The results show that the trading system has become more intensely interconnected, and trade integration at the world level has been increasing, but it is still far from being complete, with the exception of a few areas. At the same time, we observed a strong and increasing heterogeneity in countries’ choice of trade partners, with countries holding very different positions within the network, so that it is very difficult to talk of a representative country in the international trade system. Network indices were also used in a gravity model regression, adding to the explanatory power of the model. Furthermore, the analysis shows that trade policies do play a role in shaping the trade network, and that WTO members are more closely connected than the rest of the world. The structural difference between the extensive and the intensive margin of trade is also highlighted. An important feature of these results is that they pertain to the trading system as a whole, giving a unified view of the system characteristics and complexity.
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Assortative Mixing in Networks
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Methods for Management of Soilborne Diseases in Crop Production
Panth, M., Hassler, S. C., & Baysal-Gurel, F. (2020) · Agriculture · doi:10.3390/agriculture10010016 · Cited by 455
Essandoh, O. K., Islam, M., & Kakinaka, M. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.136437 · Cited by 438
Banks, N. C., Paini, D. R., Bayliss, K. L., & Hodda, M. (2015) · Ecology Letters · doi:10.1111/ele.12397 · Cited by 261
Metadata
- Authors
- De Benedictis, L., & Tajoli, L.
- Venue
- The World Economy
- Publisher
- Wiley
- Published
- 2011-08
- Volume
- 34
- Issue
- 8
- Pages
- 1417-1454
- ISSN
- 0378-5920 (ISSN-L)
- 1467-9701
- OpenAlex
- W2136368045
- Cited by
- 462
- References
- 55
- FWCI
- 59.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
