Incentive Model of Carbon Emission Trading for Online Shopping Supply Chains Based on O2O Mode

Abstract

To address the problem of low-carbon operation enthusiasm of Online shopping supply chains based on O2O mode, first, the carbon emission model of supply chain members is constructed by the adjusting cost and production functions, and the corresponding incentive model is constructed according to the carbon emission trading system. Second, the incentive model is solved and analyzed based on the optimal emission reduction cost and the optimal carbon emission incentive. Finally, optimal control theory is used to analyze the dynamic optimization of the model. The result shows that with the improvement of anastomosis in Online and offline operations, the emission reduction cost is reduced. Supply chain members need to reduce carbon emissions only when their business scale is more than a certain amount. The cost of emission reduction for supply chain members is a concave function of the cost for its operation equipment or the correct emission price.