Background: In response to the specific goals of carbon peaking and neutrality, remanufacture is becoming increasingly popular. With the marketplace being more and more adopted, an independent remanufacturer (IR) could sell its products via either the reselling model or the marketplace model. In order to contribute more to carbon neutrality, we investigate the optimal marketing decision for remanufacturing. We construct two models namely reselling model and the marketplace model, and further explore the effects of each marketing model on the decisions and profits of both the IR and the platform firm. Methods: We examine a platform firm that sells new products and an IR that sells remanufactured products under two marketing models based on game theory: (1) a reselling model in which the IR sells remanufactured products to the platform firm; then the platform firm resells to consumers; (2) a marketplace model in which the IR sells remanufactured products to consumers through the platform. Results: Our results show that aiming at carbon neutrality, the IR would be induced by the marketplace model to undertake remanufacturing operations and remanufacture products as many as it could still meet the market demand. Meanwhile, the marketplace model encourages the IR to rethink its work and manufacture more products under certain conditions. Furthermore, both the platform firm and the IR prefer the marketplace model to the reselling model within a Pareto zone. In addition, we find that both the platform firm and the IR could benefit from the marketplace model when they take carbon neutrality under consideration. Conclusions: This study provides managerial insight from two aspects. Remanufactures could decide their marketing model via thorough consideration of market competition, commission rate, and production cost. The government could do more to protect the marketplace environment in order to stimulate the internal vitality of the platform in the achievement march of carbon neutrality purpose. That is, this study will provide good guidance for sustainable development decision-making of remanufacturing marketing platforms, and further contributes to the achievement of the carbon neutrality goal.

Low-carbon production is a vital solution for many environmental problems, as is consumers’ consciousness about carbon playing a more important role and ultimately passing upstream. Supply chains are eager to seek sustainable development via appropriate decision making with data-driven methods. Consistent with this aim, we investigated decisions toward lower carbon efforts and prices in a two-echelon supply chain via a game theoretical approach. The decision-making scenarios of decentralized, centralized, and cost-sharing contracts were investigated and compared. The results show that the level of improvement in environmental performance is positively correlated with the degree of cooperation between partners. Cooperation between partners would be even more significant with an increase in consumers’ low carbon awareness. Furthermore, cost-sharing contracts improve the performance of the entire supply chain compared with decentralized cases. Finally, we implemented numerical experiments to verify the modeling results. Therefore, this study provides theoretical support toward sustainable operations for supply chains concerning low carbon awareness.

Resilience is increasingly emerging as a core concern in supply chain systems. Given the growing strategic importance of industry chain security, this paper focuses on the evaluation of resilience in automotive supply chains. Firstly, it identifies the influencing factors of supply chain resilience from an attribute perspective and develops an evaluation index system covering the key attributes, secondary attributes, and environmental attributes of the automotive supply chain. Then, it proposes an integrated resilience evaluation method that combines subjective and objective weighting approaches. Finally, taking the typical automotive enterprise BYD as an example, this paper verifies the feasibility of the proposed evaluation indicators and methodology through systematic application. The results show that the input-output ratio of R&D and return on education and training are the two most critical indicators affecting automotive supply chain resilience. These findings provide solid support and feasible suggestions for automotive enterprises to enhance their supply chain resilience.

Although digital transformation is increasingly regarded as a vital pathway toward corporate decarbonization, its environmental impacts can spread beyond the boundaries of the undergoing firms. This study explores whether digital transformation implemented by focal firms affects the carbon emission intensity of their upstream suppliers and downstream customers. Using data from Chinese A-share-listed companies over the period of 2009–2023, we find that focal firms’ digital transformation significantly reduces the carbon emission intensity of upstream and downstream partners. Supply chain concentration and partner digitalization partially mediate this relation, indicating that changes in supply chain structure and the diffusion of digital capabilities constitute important channels through which carbon reduction effects are transmitted. The effect is stronger for partners with higher total factor productivity, demonstrating that the efficacy of digital spillovers depends partly on firms’ productive efficiency and absorptive capacity. Further analysis shows that such effects are more prominent with heavily polluting industries, among smaller firms, and in industries with weaker competition. The results remain robust to alternative variable measurements, model specification, and treatments for potential endogeneity. These findings show that digital transformation generates environmental spillovers through vertical supply chain relationships and highlight the role of focal firms in facilitating supply chain carbon emission reduction.

Digital transformation in logistics contributes to logistics cost reduction, helps optimize resource allocation and achieves sustainable economic development. This study constructs an evaluation indicator system for digital transformation in logistics and sustainable economic development, adopts the panel data of 30 provinces in China from 2010 to 2023, and empirically explores the impact of digital transformation in logistics on sustainable economic development. The results show that logistics digital transformation can positively promote the sustainable development of the economy. Factor market development plays a mediating role, whereas information technology industry agglomeration plays a moderating role. The impact of digital transformation in logistics on sustainable economic development shows a nonlinear threshold effect. A heterogeneity analysis suggests that the impact of digital transformation in logistics on sustainable economic development is more significant in the eastern region, especially from 2015 to 2023. This study helps increase our understanding of the macroeconomic impact of digital transformation in logistics, provides new perspectives and empirical evidence on the economic outcomes of digital transformation in the logistics industry, enriches the investigation of influencing factors for sustainable economic development, and provides new insights for sustainable economic development.