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The Network Structure Characteristics and Determinants of the Belt & Road Industrial Robot Trade

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  • Yaya Li
  • Yongli Li
  • An Pan
  • Xue Pan
  • Eleonora Veglianti

Abstract

This study applies the social network analysis method and quadratic assignment procedure (QAP) model to explore the network structure characteristics and determinants of the Belt & Road industrial robot trade from 2001 to 2018. The results show that the Belt & Road industrial robot trade relationship shows a feature of “steady growth”, and the accessibility and trade efficiency of the intraregional trade are constantly improved. The Belt & Road industrial robot trade network has an obvious core-periphery structure. A few countries such as China, Turkey, and India occupy the core position, and more than half of the countries are weak semiperipheral countries and peripheral countries. The technical distance of industrial robots is the main factor that affects the development of the Belt & Road industrial robot trade network. Besides, a larger technical distance, a larger development distance of the manufacturing industry, a larger economic distance, a closer geographic distance and having a common language and culture are the factors that can promote the industrial robot trade. Moreover, policy recommendations are proposed according to the results.

Suggested Citation

  • Yaya Li & Yongli Li & An Pan & Xue Pan & Eleonora Veglianti, 2022. "The Network Structure Characteristics and Determinants of the Belt & Road Industrial Robot Trade," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(5), pages 1491-1501, April.
    • Handle: RePEc:mes:emfitr:v:58:y:2022:i:5:p:1491-1501
    DOI: 10.1080/1540496X.2021.1897315
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    Cited by:

    1. Zhang Hanmei & Dai Tianle, 2024. "The Research on the Impact of Regional Trade Network Relationships on Value Chain Resilience in China’s Service Industry," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-21.
    2. Minghua Chen & Qian Li & Bianxiu Zhang & Linxiao Xie & Jianxu Liu & You Geng & Zhirui Liu, 2023. "The Spatial Correlation Network of China’s High-Quality Development and Its Driving Factors," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    3. Guo, Yaoqi & Zhao, Boya & Zhang, Hongwei, 2023. "The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective," Energy, Elsevier, vol. 263(PD).
    4. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    5. Li, Yaya & Zhu, Zhu & Guan, Yefeng & Kang, Yanfang, 2022. "Research on the structural features and influence mechanism of the green ICT transnational cooperation network," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 734-749.
    6. Wang, Hui & Si, Ieongcheng & Chen, Zhihua, 2024. "Does the Belt and Road Initiative promote China and the countries along the route to reconstruct the global value chain? Evidence from value-added trade," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 63-83.

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