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

Yaya Li, Yongli Li, An Pan, Xue Pan and Eleonora Veglianti

Emerging Markets Finance and Trade, 2022, vol. 58, issue 5, 1491-1501

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.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2021.1897315 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mes:emfitr:v:58:y:2022:i:5:p:1491-1501

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20

DOI: 10.1080/1540496X.2021.1897315

Access Statistics for this article

More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().