Optimal Preservation Effort and Carbon Emission Reduction Decision of Three-Level Cold Chain System with Low-Carbon Advertising Effect

Abstract

To solve the problems of the impact of carbon emission reduction and low-carbon advertising on the supply chain of fresh agricultural products, a three-level low-carbon supply chain system composed of a manufacturer, a retailer and a third-party logistics service provider is taken as the research object. The profit functions of each party under the three contracts of the manufacturer bearing, the retailer bearing and the two parties jointly bearing the advertising cost are, respectively, established to solve the optimal pricing, advertising level preservation efforts, service levels and carbon emission reduction decisions. The numerical analysis shows that, with the increase in wholesale price and the decrease in fresh-keeping price coefficient and low-carbon cost coefficient, manufacturers will choose better fresh-keeping effort level and low-carbon service level. When the proportion of advertising cost borne by the supplier increases, the benefits of all parties in the supply chain will decrease; however, when the retailer bears the advertising cost alone, the profit of the supply chain system is the largest.

Internal incentives for carbon emission reduction in a capital-constrained supply chain: A financial perspective

“…Shi et al [ 37 ] pointed out that pure procurement commitment contracts will hinder the carbon abatement performance of the supply chain, but procurement commitment contracts with a carbon abatement target may achieve coordinated improvement of the economic and environmental benefits. Wang et al [ 38 ] investigated the impact of low-carbon advertising on the development of fresh produce supply chains. The above results demonstrate the effectiveness of incentives within the supply chain, but in general, the current research focuses more on the supply chain operations perspective.…”

A Supply Chain Model with Carbon Emissions and Preservation Technology for Deteriorating Items under Trade Credit Policy and Learning in Fuzzy

“…Abbasi, and Choukolaei (2023) [34], provided a lot of literature reviews of green supply chain network design literature focusing on carbon taxation policy. Wang et al (2023) [35], developed a gold supply chain model with preservation technology and carbon emissions under low carbon effect policy. Alsaedi et al (2023) [36], presented a sustainable green supply chain model with carbon emissions for defective items under learning in fuzzy theory.…”