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Factors affecting the formation of copper international trade community: Based on resource dependence and network theory

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  • Dong, Di
  • Gao, Xiangyun
  • Sun, Xiaoqi
  • Liu, Xueyong

Abstract

Communities are important as they may help to reveal an unknown functional module in international trade. By combining the resource dependence and network theory, we analyze the international trade community formation of copper concentrates and scrap copper from 2007 to 2015. The network position and resource dependence of a country both have positive effects on community formation, and they complement each other. Countries can choose proper trade partners according to its main influencing factor. JPN, NLD and SGP, can improve their copper trade power through connecting with resource-based countries. Similarly, FRA, CAN, and ESP can choose to form the same community with countries of central network position to improve international copper trade. Based on these considerations, countries can reduce or manage the dependence on other countries.

Suggested Citation

  • Dong, Di & Gao, Xiangyun & Sun, Xiaoqi & Liu, Xueyong, 2018. "Factors affecting the formation of copper international trade community: Based on resource dependence and network theory," Resources Policy, Elsevier, vol. 57(C), pages 167-185.
    • Handle: RePEc:eee:jrpoli:v:57:y:2018:i:c:p:167-185
    DOI: 10.1016/j.resourpol.2018.03.002
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    Cited by:

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    4. Arif, Asma & An, Pengli & Qi, Yajie & Li, Huajiao & An, Haizhong & Hussain, Mujahid & Wang, Yanli, 2021. "The influence factors of the national roles in the FDI network: A combined methods of complex networks and Panel Data Analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    5. Wang, Wenya & Li, Zhenfu, 2019. "The evolution of China’s interregional coal trade network, 1997–2016," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
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    14. Liu, Haiping & Li, Huajiao & Qi, Yajie & An, Pengli & Shi, Jianglan & Liu, Yanxin, 2021. "Identification of high-risk agents and relationships in nickel, cobalt, and lithium trade based on resource-dependent networks," Resources Policy, Elsevier, vol. 74(C).
    15. Yi Su & Yueqi Yu, 2019. "Effects of Technological Innovation Network Embeddedness on the Sustainable Development Capability of New Energy Enterprises," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    16. Zhang, Hongwei & Wang, Ying & Yang, Cai & Guo, Yaoqi, 2021. "The impact of country risk on energy trade patterns based on complex network and panel regression analyses," Energy, Elsevier, vol. 222(C).
    17. Kang, Xinyu & Wang, Minxi & Wang, Taixin & Luo, Fanjie & Lin, Jing & Li, Xin, 2022. "Trade trends and competition intensity of international copper flow based on complex network: From the perspective of industry chain," Resources Policy, Elsevier, vol. 79(C).
    18. Zhao, Yiran & Gao, Xiangyun & An, Haizhong & Xi, Xian & Sun, Qingru & Jiang, Meihui, 2020. "The effect of the mined cobalt trade dependence Network's structure on trade price," Resources Policy, Elsevier, vol. 65(C).
    19. Li, Yingli & Huang, Jianbai & Zhang, Hongwei, 2022. "The impact of country risks on cobalt trade patterns from the perspective of the industrial chain," Resources Policy, Elsevier, vol. 77(C).
    20. Di, Jinghan & Wen, Zongguo & Jiang, Meihui & Miatto, Alessio, 2022. "Patterns and features of embodied environmental flow networks in the international trade of metal resources: A study of aluminum," Resources Policy, Elsevier, vol. 77(C).

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