The shipping industry, a cornerstone of global trade, faces emissions reduction challenges amid tightening environmental policies. Blockchain technology, leveraging distributed symmetric architectures, enhances supply chain transparency by reducing information asymmetry, yet its dynamic interplay with emissions strategies remains underexplored. This study employs symmetry-driven differential game theory to model four blockchain scenarios in port-shipping networks: no blockchain (N), port-led (PB), shipping company-led (CB), and a joint platform (FB). By solving Hamilton–Jacobi–Bellman equations, we derive optimal emissions reduction efforts, green investments, and blockchain strategies under symmetric and asymmetric decision-making frameworks. Results show blockchain adoption improves emissions reduction and service quality under cost thresholds, with port-led systems maximizing low-cost profits and shipping firms gaining asymmetrically in high-freight contexts. Joint platforms achieve symmetry in profit distribution through fee-trust synergy, enabling win–win outcomes. Integrating graph-theoretic principles, we have designed dynamic state equations for emissions and service levels, segmenting shippers by low-carbon preferences. This work bridges dynamic emissions strategies with blockchain’s network symmetry, fostering economic–environmental synergies to advance sustainable maritime supply chains.

As a major carbon emitting industry, the shipping industry urgently needs to actively reduce emissions. This article introduces parameters such as the shipper's low-carbon preference coefficient, cabin cancellation rate, and compensation rate, considering the shipper's low-carbon preference and cabin cancellation behavior. Based on the state changes of shipping emission reduction, an optimal control method is used to construct a dynamic decision-making model for shipping companies to reduce emissions. The optimal emission reduction effort of shipping companies is solved to clarify the optimal dynamic trajectory changes of shipping emission reduction, shipping volume, and shipping companies' expected discounted profits. The impact of shipper's low-carbon preference and cabin cancellation on shipping companies' emission reduction operation strategies is also revealed. An important finding is that the cancellation of cargo space by shippers will reduce the enthusiasm of shipping companies to reduce emissions, while the increase in shippers' low-carbon preference coefficient can help improve the enthusiasm of shipping companies to reduce emissions and increase shipping emissions. Moreover, the dynamic emission reduction operation strategies of shipping companies will dynamically change over time. Finally, the effectiveness of the model was validated through numerical analysis.

As an emerging sales mode, live streaming e-commerce is currently a hot spot and has attracted much attention. Different from the existing literature, this paper takes an empirical perspective and conducts a questionnaire survey and empirical analysis on the influencing factors of channel selection and purchase intention among live streaming e-commerce consumers, and deduces the optimization strategy of live streaming e-commerce of brand suppliers from the perspective of consumers. First, we screened out two major factors influencing purchase intention, product characteristics and anchor characteristics, through offline interviews and literature review. Then, we refined and extracted five independent variables: product quality, price preference, anchor professionalism, anchor interactivity, and anchor attractiveness. Secondly, we investigated consumers' preferences for live streaming channels through questionnaires, especially introduced the type of live streaming channels as a moderator into the analysis of factors affecting consumers' purchase intention. Finally, according to the results of data analysis, we put forward optimization suggestions for brand suppliers' live streaming channel selection strategy and sales strategy. The research results have certain reference significance for brand suppliers' live streaming channel selection and sales strategy.