摘要
文章基于Stackelberg博弈理论,构建了四种区块链技术应用组合下的供应链减排决策优化模型,探讨其对碳交易成本和消费者低碳偏好的影响。研究发现:当减排成本系数较高且消费者低碳偏好显著时,零售商应用区块链技术可有效促进供应链减排;而当初始碳排放量及单位碳交易成本较低时,制造商应用区块链技术更利于提升减排量。制造商减排量随区块链对碳交易成本影响的增强先增后减,过高影响会限制减排能力。制造商应用区块链技术可实现渠道利润最大化,仅零售商应用时利润最低。单位碳交易成本、减排难度系数及区块链对碳交易成本的影响度均会对利润产生负向作用。文章为供应链应用区块链技术实现减排目标与优化资源配置提供启示,助力“双碳目标”达成。
This study constructs an optimization model for supply chain emission reduction decisions under four blockchain application scenarios,based on Stackelberg game theory.Results indicate that retailers'blockchain application significantly promotes emission reduction when reduction costs are high and consumer low-carbon preferences are strong.Manufacturers'blockchain application is more effective for increasing reduction volume when initial emissions and carbon trading costs are low.Excessive blockchain impact on trading costs can limit reduction capacity.Manufacturer blockchain application maximizes channel profits,while retailer-only application yields the lowest profits.This study offers insights into using blockchain to achieve supply chain emission reductions and optimize resource allocation,supporting dual carbon goals.
作者
李进
王岚
高竟喆
LI Jin;WANG Lan;GAO Jingzhe(School of Management and E-business,Zhejiang Gongshang University,Hangzhou 310018,China)
出处
《物流科技》
2025年第11期94-99,共6页
Logistics Sci Tech
基金
国家社科基金重点项目(23AGL019)
浙江省自然科学基金重点项目(LZ24G020001)。
