文献类型：期刊文献

英文题名：Structure and Evolution of the International Pesticide Trade Networks

作者：Li, Jian-An[1];Xie, Wen-Jie[1,2];Zhou, Wei-Xing[1,2,3]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai, Peoples R China;[3]East China Univ Sci & Technol, Sch Math, Shanghai, Peoples R China

年份：2021

卷号：9

外文期刊名：FRONTIERS IN PHYSICS

收录：;EI(收录号：20233514653073);WOS:【SSCI(收录号:WOS:000717616800001)，SCI-EXPANDED(收录号:WOS:000717616800001)】；

基金：Funding This work was partly supported by the National Natural Science Foundation of China (72171083), the Shanghai Outstanding Academic Leaders Plan, and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：econophysics; directed networks; weighted networks; network metrics; international pesticide trade networks

摘要：To meet the increasing demand for food around the world, pesticides are widely used and will continue to be widely used in agricultural production to reduce yield losses and maintain product quality. International pesticide trade serves to reallocate the distribution of pesticides around the world. We investigate the statistical properties of the international trade networks of five categories of pesticides from the view angle of temporal directed and weighted networks. We observed an overall increasing trend in network size, network density, average in- and out-degrees, average in- and out-strengths, temporal similarity, and link reciprocity, indicating that the rising globalization of pesticides trade is driving the networks denser. However, the distributions of link weights remain unchanged along time for the five categories of pesticides. In addition, all the networks are disassortatively mixed because large importers or exporters are more likely to trade with small exporters or importers. We also observed positive correlations between in-degree and out-degree, in-strength and out-strength, link reciprocity and in-degree, out-degree, in-strength, and out-strength, while node's local clustering coefficient is negatively related to in-degree, out-degree, in-strength, and out-strength. We show that some structural and dynamic properties of the international pesticide trade networks are different from those of the international trade networks, highlighting the presence of idiosyncratic features of different goods and products in the international trade.