Breaking Through Logistics Carbon Emission Reduction: Forging a Path of Green Innovation with Model Excellence and Management Precision

Abstract

Against the backdrop of overlapping "Dual Carbon" goals and supply chain resilience requirements, logistics enterprises face simultaneous pressures from emission reduction constraints, cost pressures, and delivery time commitments. Isolated technological upgrades often
fail to generate stable and replicable emission reduction benefits. Inconsistent emission accounting standards and data gaps further weaken
management effectiveness. Based on the structured identification of emission sources and key scenarios, this paper proposes a combined
emission reduction path centered on "Model Excellence" and "Management Precision." The approach involves establishing a structural emission reduction foundation characterized by "fewer trips, higher loads, and optimized routes" through network and node optimization, as well
as transportation organization restructuring. It then solidifies results through lean operations and digital dispatching, establishing an evidential
closed-loop for carbon data collection, accounting, and auditing. This enables the synergistic achievement of emission reduction, cost reduction, and service level improvement within a unified governance framework. The study provides actionable indicator systems and implementation points, offering a reference for transitioning logistics carbon reduction from project-based initiatives to normalized governance.