The development of cross-border e-commerce platform promotes the new channel model between domestic and international. How to determine the dual-channel pricing decision of manufacturers and retailers under the condition of tariff and transportation heterogeneity has become an important and realistic problem. Based on the perspective of cross-border e-commerce dual-channel supply chain, this paper considers the impact of import tariff, transport heterogeneity and export tax rebate, compares and analyzes the performance difference between decentralized decision-making and centralized decision-making, and analyzes the impact of import tariff, export tax rebate and transport heterogeneity on cross-border e-commerce dual-channel pricing, demand and profit. The results show that the tariff is positively correlated with the manufacturer’s direct selling price and the retailer’s retail price, while the tariff is negatively correlated with the wholesale price, the demand and profit of direct selling channel and the retail channel. Export tax rebate rate is positively correlated with manufacturers’ demand and profit and retailers’ demand and profit, and negatively correlated with manufacturers’ wholesale price, direct selling price and retail price. The increase of unit freight in direct channel is unfavorable to manufacturers and beneficial to retailers; The increase in unit freight rates in retail channels is bad for both manufacturers and retailers. Centralized decision-making is beneficial to supply chain demand and profits, and can improve the overall performance of the supply chain.

Drawing on dynamic capability theory, this study examines how green intellectual capital contributes to environmental performance in Chinese manufacturing firms. Using two-wave survey data from 417 managers, this study combines partial least squares structural equation modeling (PLS-SEM), necessary condition analysis (NCA), and fuzzy-set qualitative comparative analysis (fsQCA) to capture net effects, necessary conditions, and configurational pathways of environmental performance. These three methods offer complementary evidence on symmetric effects, necessity logic, and configurational sufficiency. The PLS-SEM results indicate that green absorptive capacity mediates the relationship between green intellectual capital and environmental performance. AI-infused knowledge strengthens the conversion of green intellectual capital into green absorptive capacity by improving green knowledge processing. The NCA results suggest that green human capital, green structural capital, and green relational capital must reach minimum levels for firms to attain high environmental performance. The fsQCA results further identify multiple functionally equivalent configurations leading to high environmental performance. Beyond green knowledge resources, green absorptive capacity, AI-infused knowledge, and the configurational alignment are critical to achieving superior environmental performance. These findings advance the green intellectual capital literature by clarifying the complementary roles of these factors in driving environmental performance.

Drawing on prior research, this study analyzes panel data from listed companies (2013–2023) to examine how chairpersons’ local social connections affect corporate green innovation. Specifically, it explores how such networks provide access to resources and policy advantages through social capital, thereby shaping firms’ green innovation. The findings reveal that local chairpersons negatively affect firms’ green innovation. Firms led by local chairpersons undertake significantly fewer green innovation initiatives than those with non-local leaders. Moreover, ESG performance and a strong legal environment can mitigate the negative impact of local chairpersons on green innovation. In contrast, stable executive teams may alleviate the adverse effect of local chairpersons on corporate green innovation by curbing myopic managerial behavior and reinforcing a long-term strategic orientation.