Low carbon joint strategy and coordination for a dyadic supply chain with Nash bargaining fairness

<p style='text-indent:20px;'>In the paper, fairness concern criterion is utilized to explore coordination of a dyadic supply chain with fairness-concerned retailer (acting as newsvendor), who committed low carbon efforts. Two models are developed for stochastic demand disturbances in forms multiplicative case and additive case, respectively. Firstly, optimal joint decision proposed two scenarios, i.e., decentralized centralized decision. Secondly, order realize channel coordination, contract revenue sharing combined mechanism low-carbon cost designed. Moreover, influences retailer's bargaining power on parameters also investigated. Finally, numerical examples given illustrate theoretical results some suggestions management provided. The show that can make achieved Furthermore, effort level ordering quantity decrease terms parameter Nash parameter, which increases unit cost. However, pricing makes opposite change.</p>