关键词: 碳限额交易机制, 大数据服务, 收益共享契约, 供应链协调

Abstract: Under the carbon cap-and-trade mechanism, based on the centralized decision-making model of the supply chain for ordering big data services, a decentralized decision-making model is developed for manufacturers and retailers to order big data services separately. Then, the models are solved and compared to assess the impact of different supply chain partners’ ordering decisions on carbon emission reduction, output, and profit. Finally, a revenue-sharing contract is designed to coordinate the supply chain in cases of dominance under a decentralized supply chain. The results indicate that compared with the retailer ordering big data services, the manufacturer achieves higher carbon emission reduction, product output, and firm profits when ordering big data services. Carbon emission reduction, product output, the effort of the big data service provider, the payment level of the manufacturer, and the firm’s profit all increase with consumers’ low carbon preference or the impact of big data marketing on consumers and decrease with the ratio of the firm’s cost after versus before ordering big data services. If the retailer shares a proportion of his revenue with the manufacturer, it can reduce carbon emissions, increase output, and improve profits for supply chain partners.

Key words: carbon cap-and-trade mechanism, big data service, revenue-sharing contract, supply chain coordination