Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model

The agricultural products trade network is essentially a complex adaptive system formed by nonlinear interactions between countries. Based on the complex system theory, this study reveals the dynamic self-organization law of the RCEP regional agricultural products trade network by using the panel da...

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Main Authors: Shasha Ding, Li Wang, Qianchen Zhou
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Systems
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Online Access:https://www.mdpi.com/2079-8954/13/7/593
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author Shasha Ding
Li Wang
Qianchen Zhou
author_facet Shasha Ding
Li Wang
Qianchen Zhou
author_sort Shasha Ding
collection DOAJ
description The agricultural products trade network is essentially a complex adaptive system formed by nonlinear interactions between countries. Based on the complex system theory, this study reveals the dynamic self-organization law of the RCEP regional agricultural products trade network by using the panel data of RCEP agricultural products export trade from 2000 to 2023, combining social network analysis (SNA) and the temporal exponential random graph model (TERGM). The results show the following: (1) The RCEP agricultural products trade network presents a “core-edge” hierarchical structure, with China as the core hub to drive regional resource integration and ASEAN countries developing into secondary core nodes to deepen collaborative dependence. (2) The “China-ASEAN-Japan-Korea “riangle trade structure is formed under the RCEP framework, and the network has the characteristics of a “small world”. The leading mode of South–South trade promotes the regional economic order to shift from the traditional vertical division of labor to multiple coordination. (3) The evolution of trade network system is driven by multiple factors: endogenous reciprocity and network expansion are the core structural driving forces; synergistic optimization of supply and demand matching between economic and financial development to promote system upgrading; geographical proximity and cultural convergence effectively reduce transaction costs and enhance system connectivity, but geographical distance is still the key system constraint that restricts the integration of marginal countries. This study provides a systematic and scientific analytical framework for understanding the resilience mechanism and structural evolution of regional agricultural trade networks under global shocks.
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spelling doaj-art-a067e38cee6344eeb35596f2200ba33d2025-08-20T03:32:16ZengMDPI AGSystems2079-89542025-07-0113759310.3390/systems13070593Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM ModelShasha Ding0Li Wang1Qianchen Zhou2College of Economics and Management, Shihezi University, Shihezi 832000, ChinaCollege of Economics and Management, Shihezi University, Shihezi 832000, ChinaCollege of Economics and Management, Shihezi University, Shihezi 832000, ChinaThe agricultural products trade network is essentially a complex adaptive system formed by nonlinear interactions between countries. Based on the complex system theory, this study reveals the dynamic self-organization law of the RCEP regional agricultural products trade network by using the panel data of RCEP agricultural products export trade from 2000 to 2023, combining social network analysis (SNA) and the temporal exponential random graph model (TERGM). The results show the following: (1) The RCEP agricultural products trade network presents a “core-edge” hierarchical structure, with China as the core hub to drive regional resource integration and ASEAN countries developing into secondary core nodes to deepen collaborative dependence. (2) The “China-ASEAN-Japan-Korea “riangle trade structure is formed under the RCEP framework, and the network has the characteristics of a “small world”. The leading mode of South–South trade promotes the regional economic order to shift from the traditional vertical division of labor to multiple coordination. (3) The evolution of trade network system is driven by multiple factors: endogenous reciprocity and network expansion are the core structural driving forces; synergistic optimization of supply and demand matching between economic and financial development to promote system upgrading; geographical proximity and cultural convergence effectively reduce transaction costs and enhance system connectivity, but geographical distance is still the key system constraint that restricts the integration of marginal countries. This study provides a systematic and scientific analytical framework for understanding the resilience mechanism and structural evolution of regional agricultural trade networks under global shocks.https://www.mdpi.com/2079-8954/13/7/593RCEPagricultural product trade networksocial network analysistemporal exponential random graph modelcomplex system
spellingShingle Shasha Ding
Li Wang
Qianchen Zhou
Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model
Systems
RCEP
agricultural product trade network
social network analysis
temporal exponential random graph model
complex system
title Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model
title_full Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model
title_fullStr Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model
title_full_unstemmed Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model
title_short Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model
title_sort study on evolution mechanism of agricultural trade network of rcep countries complex system analysis based on the tergm model
topic RCEP
agricultural product trade network
social network analysis
temporal exponential random graph model
complex system
url https://www.mdpi.com/2079-8954/13/7/593
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AT liwang studyonevolutionmechanismofagriculturaltradenetworkofrcepcountriescomplexsystemanalysisbasedonthetergmmodel
AT qianchenzhou studyonevolutionmechanismofagriculturaltradenetworkofrcepcountriescomplexsystemanalysisbasedonthetergmmodel