Performance Evaluation and Optimization of China-Central Asia Agricultural Trade Supply Chain Using Grey Relational Analysis

Abstract

Efficient supply chain management is pivotal for facilitating extensive agriculture trade between China and Central Asian countries. This research pioneers an analytical approach incorporating grey relational analysis to evaluate supply chain performance and interrelationships in this context. Agricultural export, import and supply chain index data over a decade is synthesized following a standardized processing and GRA model construction procedure. Outcomes reveal the export performance of Central Asian countries has higher correlation to supply chain efficiency relative to China’s agricultural import stability. Strategic optimizations ranging from logistical improvements to policy coordination are proposed to bolster trade volumes, safety, visibility and transport reliability. The study contributes robust analytics-based insights to elevate the sustainability of China-Central Asia agricultural trade collaborations and supply network operations.