Evidence map›Paper›PMID 39775002›Full record

ArticleScientific reports2025

Evolutionary game of international trade network based on trade policy differences.

Jun Zheng, Junfang Wang, Aizhong Shen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jun ZhengSchool of Economics and Management, Nanchang Institute of Science and Technology, Nanchang, 330108, China.
Junfang WangSchool of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou, 450045, China.
Aizhong ShenCollege of Business Administration, Chaohu University, Hefei, 238024, China. shenaizhongphd@163.com.

Funding

Nanchang Institute of Science and Technology introduced talent research start-up project NGRCZX-23- 02the National Natural Science Foundation of China 71801139 and 71571119the Outstanding Young Teachers Cultivation Program of Anhui Provincial Department of Education YQYB2024062the Project of Chaohu University Research Startup Fund KYQD-202217the Project of Scientific Research Program of Higher Education Institutions in Anhui Province 2023AH052085 and 2024AH052864
6 · The paper itself

Abstract

Trade policy differences among different countries are important factors affecting international trade cooperation. In this paper, we build an evolutionary game model of international trade in which complex networks portray game relationships and trade policy differences are game strategies of players. Compared with the fully coupled game relationship and two-strategies game, the game relationship dynamic adjustment, trade policy differences and stochastic game payoffs in this paper are more in line with the real international trade context. We use mathematical analyses and computer simulation methods to reveal the impact of trade policy differences on the game payoffs of countries and the overall international trade networks. The results show that the reduce of the tolerance "t" of fair-trade is difficult to eliminate the opportunism trade policy and lead to a decline in the game payoffs of all countries and the global trading network. Dynamic adjustment of trade relations can not only improve the game payoffs of all countries and the trade network, but also offset the negative impact of the decline of the tolerance "t". In terms of long-term, only the win-win trade policy can maximize the payoffs of the global trade network and achieve a balanced distribution of trade benefits.

Indexed as

Evolutionary gameFair tradeInternational trade networkNetwork gameTrade policy

Identifiers

PMID39775002
PMCPMC11707047

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.