{"id":8671,"date":"2026-06-27T14:33:54","date_gmt":"2026-06-27T06:33:54","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=8671"},"modified":"2026-06-27T16:30:34","modified_gmt":"2026-06-27T08:30:34","slug":"jase-202610-33-019","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202610-33-019","title":{"rendered":"Application of Data-Driven Block Chain Technology in International Trade Industry Value Chain Division"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 33<\/a><\/p>\n<\/div>\n\n\n\n

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Lin Yang<\/i><\/a><\/p>\n\n\n\n

School of International Trade and Economics, Shandong University of Finance and Economics, Jinan 250014, China<\/p>\n<\/div>\n\n\n\n

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Received: April 7, 2026
Accepted: May 21, 2026
Publication Date: June 27, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Trade efficiency before and after blockchain adoption<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202610_33.019<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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This study investigates the application of data-driven blockchain technology in the international trade industry value chain. To address issues of lag, fragmentation, and low credibility in traditional multi-agent data systems, we construct a unified sample integrating trade data, on-chain records, and enterprise operational metrics. Core indices measuring blockchain adoption and value chain division are established. Employing regression analysis,
machine learning models, and moderation effect models, we quantify the impact of on-chain activities. Results demonstrate that blockchain\u2019s transparent and immutable data structure enhances inter-firm collaborative stability, leading to a sustained rise in the value chain division index. Furthermore, synchronized on-chain recording significantly improves trade efficiency, reducing customs clearance time, reconciliation cycles, and
logistics node delays by 15% to 48%. The effect is more pronounced in high-tech industries. This work elucidates the functional pathway of blockchain within international trade systems, providing a verifiable, repeatable, and extensible analytical framework to inform trade governance and corporate digital strategy.<\/p>\n\n\n\n

Keywords: Statistics; Block chain; International trade; Value chain division of labor; Trade efficiency; Data-driven model<\/em><\/p>\n\n\n\n

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