Formation of trade networks by economies of scale and product differentiation

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Physics Complexity Pub Date : 2022-12-06 DOI:10.1088/2632-072X/acc91f
Chengyuan Han, Malte Schröder, D. Witthaut, Philipp C. Böttcher
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Abstract

Understanding the structure and formation of networks is a central topic in complexity science. Economic networks are formed by decisions of individual agents and thus not properly described by established random graph models. In this article, we establish a model for the emergence of trade networks that is based on rational decisions of individual agents. The model incorporates key drivers for the emergence of trade, comparative advantage and economic scale effects, but also the heterogeneity of agents and the transportation or transaction costs. Numerical simulations show three macroscopically different regimes of the emerging trade networks. Depending on the specific transportation costs and the heterogeneity of individual preferences, we find centralized production with a star-like trade network, distributed production with all-to-all trading or local production and no trade. Using methods from statistical mechanics, we provide an analytic theory of the transitions between these regimes and estimates for critical parameters values.
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通过规模经济和产品差异化形成贸易网络
理解网络的结构和形成是复杂性科学的核心课题。经济网络是由个体主体的决策形成的,因此不能通过建立的随机图模型来正确描述。在本文中,我们建立了一个基于个体代理人理性决策的贸易网络出现模型。该模型包含了贸易、比较优势和经济规模效应出现的关键驱动因素,但也包含了代理人的异质性以及运输或交易成本。数值模拟显示了新兴贸易网络的三种宏观上不同的制度。根据具体的运输成本和个人偏好的异质性,我们发现集中生产具有星形贸易网络,分布式生产具有所有到所有的贸易或本地生产而没有贸易。使用统计力学的方法,我们提供了这些状态之间转换的分析理论和临界参数值的估计。
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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