The evolution of international grain trade pattern based on complex network and entropy

Author:

Ma Jinlong1,Li Meng1,Li Xiaotian1

Affiliation:

1. School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China

Abstract

Grain is the most basic material condition for human survival and development, and the structure of grain import and export trade has seriously affected national grain security. In this paper, we quantitatively analyze the evolution of international grain (maize, wheat, rice) trade patterns from 1987 to 2019 based on a complex network and entropy methods, and provide some suggestions and references for relevant countries. We measure the ranking of countries by applying various indicators from complex networks to quantify the importance of nodes in international trade networks. Then, we analyze the evolution of trade scale and community structure in different regions. Finally, we analyze the weight structure of the whole network through entropy, revealing the evolution characteristics and mechanism of the system more comprehensively. The results first show that the international grains trade network (IGTN) satisfies the scale-free properties and that global trade volumes are increasing year by year. The distribution of trade volumes in the IGTN follows the 80/20 rule, with less than 20[Formula: see text] of countries accounting for more than 80[Formula: see text] of global trade volumes. Second, countries in the Asian region have gradually increased their position in the grain trade network, while the position of countries in North and South America has declined. Third, the heterogeneity of the topology and weight structure of the international grain trade network is weakened, and the status of hub countries in the IGTN is reduced. The importance gap of nodal connections is narrowing, showing the trend of multilateralization of global trade. Fourth, the world grain export market is highly concentrated. The USA, Canada, Brazil, Argentina and Russia are the major exporters of grain.

Funder

Innovative Capability Improvement Program of Hebei Province

Science and Technology Project of Hebei Education Department

Fundamental Research Funds for the Hebei Universities

2020 Hebei Province Innovation Capability Improvement Plan Project

2020 Hebei Province Social Science Development Research Project

Humanities and Social Science Research Project of Hebei Province Colleges and Universities

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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