Title: Path of the impact of digital trade on accelerating the transformation and upgrading of green industry development

Authors: Yao Gu; Xiao Liu

Addresses: College of Finance and Economics, Wanjiang University of Technology, Maanshan 243031, Anhui, China ' College of Finance and Economics, Wanjiang University of Technology, Maanshan 243031, Anhui, China

Abstract: In the past trade model, most industrial structures still relied on high carbon emission production methods, leading to resource waste and low trade efficiency, which hindered the development of green industries. This article aims to explore the impact of digital trade on the development, transformation, and upgrading of green industries. This article uses a projection optimisation model under real number encoding accelerated genetic algorithm to measure the level of digital trade development, quantify the transformation and upgrading of digital trade development and the level of green industry development. The average production time of the five green products in digital trade is 39.8% less than that of traditional human trade, indicating that the efficiency of digital trade is higher. The research in this article, it can promote the development of digital trade and green industries, and achieve a reasonable balance between the economy and the environment.

Keywords: digital trade; green industry development; real coding accelerating genetic algorithm; transformation and upgrading.

DOI: 10.1504/IJSD.2026.152794

International Journal of Sustainable Development, 2026 Vol.29 No.2, pp.192 - 208

Received: 20 Dec 2023
Accepted: 09 Feb 2024
Published online: 13 Apr 2026 *

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