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Research on cost-risk synergistic optimization model of cross-border logistics in Guangxi based on regression analysis

By: Dandan Wang1
1 Guangxi Transport Vocational and Technical College, Nanning, Guangxi, 530000, China

Abstract

Along with the vigorous implementation of the “E-commerce Guangxi, E-commerce ASEAN” project in Guangxi, Guangxi has ushered in a new development opportunity, and at the same time ushered in the corresponding risks. In this study, regression analysis and correlation analysis are used as the basic tools to construct a synergistic optimization model of cross-border logistics cost and risk in Guangxi. Five indicators of core elements of logistics, product, credit, talent and government are collected, and a cross-border logistics cost risk control measurement system containing fifteen secondary indicators is designed. On this basis, data-driven, technical support, and organizational collaboration are assembled to design a cross-border logistics cost risk cooptimization strategy. Through simulation verification, the model of this paper can effectively verify the five factors with significant positive influence ability on the cost risk control of cross-border logistics in Guangxi, and at the same time accurately predict the cross-border logistics demand in the next few years, which effectively reduces the cost risk of cross-border logistics in Guangxi. It provides practical guidance for the efficient and sound development of cross-border logistics in Guangxi, and also has profound reference significance for the synergistic optimization of cross-border logistics cost risk in other regions.