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Structure characteristics and formation mechanism of the RCEP manufacturing trade network: An ERGM analysis

Author

Listed:
  • Zhu, Nina
  • Wang, Yuqing
  • Yang, Shuwen
  • Lyu, Lixing
  • Gong, Kunyao
  • Huang, Xinyue
  • Huang, Siyi

Abstract

The entry into force of the Regional Comprehensive Economic Partnership (RCEP) on January 1st, 2022 marked the official launch of the world’s largest free trade area. The RCEP agreement will gradually release its strengths to the regional trade development and finally become one of the most important economic growth polarities. In this article, the complex network theory was introduced in the analysis of regional trade patterns and the investigation of trade relation-formation mechanisms. Based on the RCEP agreement, we constructed the manufacturing trade networks at both national and industrial levels, meanwhile, we explored the node and network characteristics combining with centrality, density, reciprocity, and distance indicators. Furthermore, by using the significance testing of the three-node motifs, we recognized the main trade patterns of the RCEP manufacturing trade. Finally, we established the exponential random graph model(ERGM) and performed an empirical analysis to conduct the formation mechanisms of the RCEP manufacturing trade networks. The results provided that the integrated trade pattern had a strong positive effect on the relation formation, while the imbalanced trade pattern was not easy to form the trading relationship.

Suggested Citation

  • Zhu, Nina & Wang, Yuqing & Yang, Shuwen & Lyu, Lixing & Gong, Kunyao & Huang, Xinyue & Huang, Siyi, 2024. "Structure characteristics and formation mechanism of the RCEP manufacturing trade network: An ERGM analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
  • Handle: RePEc:eee:phsmap:v:635:y:2024:i:c:s0378437123010439
    DOI: 10.1016/j.physa.2023.129488
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    as
    1. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
    2. Peter Drysdale & Shiro Armstrong, 2021. "RCEP: a strategic opportunity for multilateralism," China Economic Journal, Taylor & Francis Journals, vol. 14(2), pages 128-143, May.
    3. Matteo Barigozzi & Giorgio Fagiolo & Diego Garlaschelli, 2009. "Multinetwork of international trade: A commodity-specific analysis," Papers 0908.1879, arXiv.org, revised Jun 2010.
    4. Feng, Lianyue & Xu, Helian & Wu, Gang & Zhao, Yuan & Xu, Jialin, 2020. "Exploring the structure and influence factors of trade competitive advantage network along the Belt and Road," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    5. Yingying Zhou & Yunpei Hong & Baodong Cheng & Lichun Xiong, 2021. "The Spatial Correlation and Driving Mechanism of Wood-Based Products Trade Network in RCEP Countries," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    6. Omid Askarisichani & Jacqueline Ng Lane & Francesco Bullo & Noah E. Friedkin & Ambuj K. Singh & Brian Uzzi, 2019. "Structural balance emerges and explains performance in risky decision-making," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    7. Morris, Martina & Handcock, Mark S. & Hunter, David R., 2008. "Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i04).
    8. De Benedictis Luca & Nenci Silvia & Santoni Gianluca & Tajoli Lucia & Vicarelli Claudio, 2014. "Network Analysis of World Trade using the BACI-CEPII Dataset," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 1-57, October.
    9. Sebastian Bobowski, 2018. "Trade Regionalism of Tomorrow: Entanglement of Mega-Regionals Versus WTO," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), Eurasian Economic Perspectives, pages 251-266, Springer.
    10. Ning Li & Qian Huang & Xiaoyu Ge & Miao He & Shuqin Cui & Penglin Huang & Shuairan Li & Sai-Fu Fung & Fei Xiong, 2021. "A Review of the Research Progress of Social Network Structure," Complexity, Hindawi, vol. 2021, pages 1-14, January.
    11. Koffi Dumor & Yao Li & Enock Mintah Ampaw & Charles Hackman K. Essel & Edwina Oheneasi Essel & Onesmus Mbaabu Mutiiria, 2021. "Situating Africa in the exports patterns of China's Belt and Road Initiative: A network analysis," African Development Review, African Development Bank, vol. 33(2), pages 343-356, June.
    12. He, Xi-jun & Dong, Yan-bo & Wu, Yu-ying & Jiang, Guo-rui & Zheng, Yao, 2019. "Factors affecting evolution of the interprovincial technology patent trade networks in China based on exponential random graph models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 443-457.
    13. La, Meeryung, 2017. "Regional Comprehensive Economic Partnership (RCEP): Progress and Challenges," World Economy Brief 17-12, Korea Institute for International Economic Policy.
    14. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 739-756, September.
    15. Sun, Bowen & Li, Huajiao & An, Pengli & Wang, Ze, 2020. "Dynamic energy stock selection based on shareholders’ coholding network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    16. Li, Jiaman & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin & Liu, Guixian, 2021. "Natural gas trade network of countries and regions along the belt and road: Where to go in the future?," Resources Policy, Elsevier, vol. 71(C).
    17. David Vines, 2018. "The BRI and RCEP: ensuring cooperation in the liberalisation of trade in Asia," Economic and Political Studies, Taylor & Francis Journals, vol. 6(3), pages 338-348, July.
    18. Pavel N. Krivitsky & Mark S. Handcock, 2014. "A separable model for dynamic networks," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 29-46, January.
    19. Li, Xiang & Ying Jin, Yu & Chen, Guanrong, 2003. "Complexity and synchronization of the World trade Web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 287-296.
    20. Park, Cyn-Young & Petri, Peter A. & Plummer, Michael G., 2021. "The Economics of Conflict and Cooperation in the Asia-Pacific: RCEP, CPTPP and the US-China Trade War," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 25(3), pages 233-272, September.
    21. Ward, Michael D. & Ahlquist, John S. & Rozenas, Arturas, 2013. "Gravity's Rainbow: A dynamic latent space model for the world trade network," Network Science, Cambridge University Press, vol. 1(1), pages 95-118, April.
    22. John Gilbert & Taiji Furusawa & Robert Scollay, 2018. "The economic impact of the Trans†Pacific Partnership: What have we learned from CGE simulation?," The World Economy, Wiley Blackwell, vol. 41(3), pages 831-865, March.
    23. Yinpeng Liu & Xiangyun Gao & Jianfeng Guo, 2018. "Network Features of the EU Carbon Trade System: An Evolutionary Perspective," Energies, MDPI, vol. 11(6), pages 1-16, June.
    24. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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