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Title: Optimisation of rural green supply chain promoting social sustainable development: a case study based on intelligent environmental impact assessment

Authors: Zhao Guo; Hong Chen

Addresses: Department of Philosophy, Graduate School of Arts and Sciences, Columbia University, 1150 Amsterdam Ave, 708 Philosophy Hall, MC4971, New York, NY, 10027, USA ' Institute of Environment and Development, National University of Malaysia, Bangi, 43600, Selangor, Malaysia

Abstract: To effectively address the environmental challenges confronting rural enterprises, optimising the supply chain while ensuring sustainability is of paramount importance. This study proposes a green supply chain (GSC) optimisation framework specifically designed for rural enterprises to assess and mitigate their environmental impacts. An enhanced Mamba structure is first introduced to identify congestion points within rural supply chains. By integrating these congestion nodes with environmental parameters, a multi-objective optimisation (MOO) strategy is developed to simultaneously reduce pollution and minimise resource loss. This approach facilitates the establishment of a GSC tailored to the distinctive operational characteristics of rural enterprises. Experimental results reveal that the proposed congestion node detection system achieves an F-value of 0.824, while the environmental impact detection accuracy of the optimised supply chain reaches 0.845, indicating a substantial improvement in supply chain performance within rural contexts.

Keywords: sustainable development; impact assessment; rural supply chain improvement.

DOI: 10.1504/IJEP.2026.153600

International Journal of Environment and Pollution, 2026 Vol.76 No.6, pp.64 - 85

Received: 23 Jul 2025
Accepted: 21 Nov 2025
Published online: 18 May 2026 *