Skewness of local logarithmic exports
arXiv:2012.15487 · doi:10.1103/PhysRevE.103.032314
Abstract
The distributions of trade values and relationships among countries and product categories reflect how countries select their trade partners and design export portfolios. Here we consider the exporter-importer network and the exporter-product network with directed links weighted by the logarithm of the corresponding export values each year from 1962 to 2018, and study how the weights of the outgoing links from each country are distributed. Such local logarithmic export distributions by destinations and products are found to follow approximately the Gaussian distribution across exporters and time, implying random assignment of export values on logarithmic scale. However, a non-zero skewness is identified, changing from positive to negative as exporters have more partner importers and more product categories in their portfolios. Seeking the origin, we analyze how local exports depend on the out-degree of exporter and the in-degrees of destinations/products and formulate their quantitative and measurable relation incorporating randomness, which uncovers the fundamental nature of the export strategies of individual countries.
12 pages, 5 figures, Appendix with 7 supplementary figures
References in corpus (11)
- The Building Blocks of Economic Complexity
- The Product Space Conditions the Development of Nations
- The Matthew effect in empirical data
- Fluctuation scaling in complex systems: Taylor's law and beyond
- Random hypergraphs and their applications
- The International Trade Network: weighted network analysis and modelling
- Computational Socioeconomics
- A GDP-driven model for the binary and weighted structure of the International Trade Network
- Urn model for products' shares in international trade
- Evolution of regulatory networks towards adaptability and stability in a changing environment
- Engel's law in the commodity composition of exports