长沙理工大学学报（自然科学版）2026，Vol.23Issue(2)：177-190,14.DOI:10.19951/j.cnki.1672-9331.20251017001
不同权力结构下考虑技术效率不确定的绿色供应链决策
Green supply chain decision-making considering technical efficiency uncertainty under different power structures
摘要
Abstract
[Purposes]This paper aims to analyze the impact of green technical efficiency uncertainty on green supply chain decision-making under different supply chain power structures and to explore the mechanism of the game relationship between the manufacturer and the retailer on the green level and pricing strategy.[Methods]Under the condition of technical efficiency uncertainty,game models between the manufacturer and the retailer were constructed under four supply chain power structures:manufacturer-leader-retailer(MLR),retailer-leader-manufacturer(RLM),manufacturer-onpar-retailer(MOR),and centralized(C)decision-making.The Stackelberg game and Nash game methods were respectively adopted to analyze the optimal decision solutions under each structure,and numerical simulations were conducted to compare the impacts of technical efficiency uncertainty on the green level and price under different structures.[Results]An increase in the mean value of technical efficiency helps improve the green level,but pricing strategies vary under different power structures.The MOR power structure has more advantages in green investment and anti-risk capability.When volatility increases,the C power structure and MOR power structure exhibit stronger stability.[Conclusions]The uncertainty of green technical efficiency and the supply chain power structure jointly affect green supply chain decision-making.The research results can provide a reference for enterprises to select suitable cooperation structures and formulate green strategies and provide theoretical support for policymakers.关键词
供应链/权力结构/技术效率不确定性/绿色水平/供应链决策Key words
supply chain power structure/technical efficiency uncertainty/supply chain green level/green supply chain decision-making分类
管理科学引用本文复制引用
姜跃,魏炳东..不同权力结构下考虑技术效率不确定的绿色供应链决策[J].长沙理工大学学报（自然科学版）,2026,23(2):177-190,14.基金项目
福建省科技创新战略研究联合项目(2024R0129) （2024R0129）
福建理工大学科研发展基金项目(S900125036) （S900125036）
