Rosanna Grassi, Paolo Bartesaghi, Gian Paolo Clemente, Duc Thi Luu
arXiv 7 Sep 2021 · Econometrics · publishedJournal of Economic Behavior & Organization (2022) · 16 citations (OpenAlex)
arXiv:2109.02946 · PDF · DOI · OpenAlex · Extracted main text
We analyze the multilayer architecture of the global input-output network using sectoral trade data (WIOD, 2016 release). With a focus on the mesoscale structure and related properties, our multilayer analysis takes into consideration the splitting into industry-based layers in order to catch more peculiar relationships between countries that cannot be detected from the analysis of the single-layer aggregated network. We can identify several large international communities in which some countries trade more intensively in some specific layers. However, interestingly, our results show that these clusters can restructure and evolve over time. In general, not only their internal composition changes, but the centrality rankings of the members inside are also reordered, industries from some countries diminishing their role and others from other countries growing importance. These changes in the large international clusters may reflect the outcomes and the dynamics of cooperation, partner selection and competition among industries and among countries in the global input-output network.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | De Benedictis, L., & Tajoli, L (2011) The world trade network | 0.950 | 7 | 3 | 86% |
| 2 | Bartesaghi, P., Clemente, G. P., & Grassi, R (2020) Community structure in the world trade network based on communicability distances self | 0.874 | 5 | 2 | 100% |
| 3 | Barigozzi, M., Fagiolo, G., & Garlaschelli, D (2010) Multinetwork of international trade: A commodity-specific analysis | 0.843 | 4 | 3 | 75% |
| 4 | Helpman, E., Melitz, M., & Rubinstein, Y (2008) Estimating Trade Flows: Trading Partners and Trading Volumes* | 0.843 | 4 | 3 | 75% |
| 5 | Gemmetto, V., & Garlaschelli, D (2014) Multiplexity versus correlation: The role of local constraints in real multiplexes | 0.843 | 5 | 3 | 60% |
| 6 | Gemmetto, V., Squartini, T., Picciolo, F., Ruzzenenti, F., & Garlasc… (2016) Multiplexity and multireciprocity in directed multiplexes | 0.843 | 5 | 3 | 60% |
| 7 | Baldwin, R., & Lopez-Gonzalez, J (2015) Supply-chain trade: A portrait of global patterns and several testable hypotheses | 0.811 | 4 | 2 | 100% |
| 8 | Felbermayr, G. J., & Kohler, W (2006) Exploring the intensive and extensive margins of world trade | 0.737 | 3 | 3 | 67% |
| 9 | Luu, D. T., & Lux, T (2019) Multilayer overlaps and correlations in the bank-firm credit network of spain self | 0.737 | 3 | 3 | 67% |
| 10 | Bianconi, G (2018) Multilayer networks: Structure and function\/ | 0.737 | 3 | 2 | 100% |
Showing the top 10 of 75 scored citations.