Risk countermeasures of international wheat trade under the network reconstruction

Author:

Ma Jinlong12,Li Meng12,Niu Junfang3

Affiliation:

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

2. Hebei Technology Innovation Center of Intelligent IoT, Shijiazhuang 050018, P. R. China

3. Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, P. R. China

Abstract

In today’s globalized world, grain is not only food, but also a strategic weapon, a trump card in the game of nations. As one of the three staple grains, international trade of wheat faces high supply risk. Each country should not only pay attention to the ways in which trade risks are spread, but also pay high attention to how resources are reallocated between countries to reduce losses from supply risks. Therefore, based on complex network theory and global wheat trade data, we construct an international wheat trade network (IWTN) and analyze the feedback of network robustness under random and targeted attacks. Then, we propose a global wheat trade redistribution model through the maximum entropy principle to simulate the resource redistribution among wheat trading countries under different supply risks. Finally, changes in trade relations among major countries are analyzed. The results of the study provide an important reference for the recovery of national resources after wheat supply risk and new ideas for researchers related to international trade.

Funder

Hebei Social Science Foundation

Science and Technology Project of Hebei Education Department

Research on the Development of Social Science of Hebei Province

Fundamental Research Funds for the Hebei 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3