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Do trade networks among countries along the Belt and Road Initiative promote technology progress?

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Title:	Do trade networks among countries along the Belt and Road Initiative promote technology progress?
Authors:	Lin, Li¹ (AUTHOR), Chen, Miaoru² (AUTHOR), Yan, Yuting¹ (AUTHOR), Wang, Lu¹ (AUTHOR) wanglu@wzu.edu.cn
Source:	Applied Economics. Oct2025, p1-18. 18p.
Subject Terms:	TECHNOLOGICAL progress, BILATERAL trade, ECONOMIC development, FREE trade, BELT & Road Initiative, SOCIAL network analysis, ECONOMIC conditions in China
Geographic Terms:	INDIA, CHINA
Abstract:	The ongoing development of bilateral trade among countries participating in the Belt and Road Initiative (BRI) promotes the creation of trade networks and the advancement of technology in these countries. This article utilizes social network analysis to investigate the characteristics of trade networks among the BRI and how these characteristics influence technological progress. Based on bilateral trade data from 2003 to 2019, the findings of this study indicate the following key insights: First, in terms of network structure, China occupies a central position within the trade network, and the overall network density exhibits an upward trend. Notably, key players in the trade network include China, India and Singapore, which exhibit high and stable levels of centrality, connectedness, and heterogeneity. Second, empirical testing indicates that centrality, connectedness, and heterogeneity all contribute to technological advancement. Third, the varying levels of economic development among different countries significantly affect their technological progress. Lastly, the analysis suggests that increased trade liberalization enhances the impact of trade networks on technological progress in nations along the BRI. [ABSTRACT FROM AUTHOR]
	Copyright of Applied Economics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Business Source Index

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