摘要
大数据与区块链的融合应用可有效解决黄河流域低碳制造业同质化严重问题,但新技术的应用将对碳减排信息可信性、产品质量可靠性等关键定价因子产生深度影响,在此背景下如何定价才能获得更多收益是值得探讨的问题。为此,选择由一个制造商与一个零售商组成的低碳供应链为研究对象,考虑低碳研发投入与基于大数据与区块链的新兴信息服务投入,修正了需求函数,构建了3种不同成本分担模式下的协同定价模型。结果表明:成本分担模式并不影响低碳供应链成员最优价格与收益随碳减排水平失效系数、低碳产品质量信息可信性系数、零售商新兴信息服务成本、零售商承担自身新兴信息服务成本的系数变化而变化的趋势与幅度。
The fusion application of big data and blockchain can effectively solve the serious problem of homogeneity of lowcarbon manufacturing in the Yellow River Basin.However,the application of new technologies will have a profound impact on key pricing factors such as the credibility of carbon emission reduction information and product quality and reliability.In this context,how to price to obtain more benefits is a question worthy of discussion.To this end,a low-carbon supply chain consisting of a manufacturer and a retailer is selected as the research object,and low-carbon R&D investment and investment in emerging information services based on big data and blockchain are considered.The demand function was revised,and the collaborative pricing model under three different cost sharing modes was constructed.The cost sharing model does not affect the trend and range of the optimal price and revenue of low-carbon supply chain members with the change of failure coefficient of carbon emission reduction level,credibility coefficient of low-carbon product quality information,emerging information service cost of retailers,and coefficient of retailers bearing their own emerging information service cost.
作者
刘盼
杨福星
甄选
张凤杰
Liu Pan;Yang Fuxing;Zhen Xuan;Zhang Fengjie(School of Information and Management Science,Henan Agricultural University,Zhengzhou 450004,China;China International Engineer⁃ing Consulting Co.,Ltd.,Beijing 100048,China;School of Emergency Management,China University of Mining and Technology(Beijing),Beijing 100083,China)
出处
《煤炭经济研究》
2020年第8期20-27,共8页
Coal Economic Research
基金
河南省教育厅人文社科一般项目(2020-ZDJH-141)
河南农业大学拔尖人才项目(30500681)
关键词
黄河流域
大数据
区块链
低碳供应链
定价
Yellow River Basin
big data
blockchain
low carbon supply chain
Pricing
