Research on information collaboration strategy of fresh agricultural products supply chain under carbon cap-and-trade

Abstract

The information coordination of fresh agricultural products supply chain is conducive to improving the overall efficiency and competitiveness of the supply chain, and reducing carbon emissions. Under the carbon cap-and-trade policy, this paper constructed an evolutionary game model of supply chain information collaboration involving a fresh agricultural products supplier, a cold chain logistics service provider and a fresh agricultural products retailer, explored the selection of information collaboration strategies of each subject, and simulated it with system dynamics. The results show that: The stability strategy of the game system is related to the initial willingness of each subject. When any two parties participate in information collaboration, the other party will also choose to participate in collaboration. In addition, the choice of information collaboration strategy of the subject is also related to the collaborative planning ability, collaborative strategy formulation ability, consumers’ preference, the initial cost of each subject, revenue sharing and cost sharing mechanism, government subsidies, government regulation and carbon cap-and-trade policy. It is worth noting that the collaborative planning capability is more conducive to promoting the subject to choose information collaborative strategy than the collaborative strategy formulation capability; the carbon trading price has a greater impact on the subject's participation in collaboration, while the total amount of carbon quota has no impact on the choice of the subject's information collaboration strategy. Furthermore, based on the research results, the corresponding management suggestions are put forward from the two aspects of the government and the participants.