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作 者:赵强 夏西强[2] 李炜洁 Zhao Qiang;Xia Xiqiang;Li Weijie(Hust School of Economics,Huazhong University of Science and Technology,Wuhan 430074,China;Business School,Zhengzhou University,Zhengzhou 450001,China;The School of Finance,Renmin University of China,Beijing 100872,China)
机构地区:[1]华中科技大学经济学院,武汉430074 [2]郑州大学商学院,郑州450001 [3]中国人民大学财政金融学院,北京100872
出 处:《工业技术经济》2021年第7期51-56,共6页Journal of Industrial Technological Economics
基 金:2017年国家自然科学基金项目“基于再制造设计的第三方再制造闭环供应链协调机制研究”(项目编号:71702174);2017年国家自然科学基金项目“融合碳交易和消费者偏好的双渠道制造商运营决策与供应链协调”(项目编号:7170172);2021年河南省高校科技创新人才支持计划“政府政策对制造/再制造影响研究”(项目编号:2021-CX-007)。
摘 要:为分析分类回收下政府选择不同补贴对象对废旧产品回收的影响,本文基于分类回收构建政府补贴下回收商与处理商博弈模型。基于博弈模型最优解,对比分析分类回收与不分类回收优劣;分析政府选取不同补贴对象对回收商与处理商竞争的影响;基于成本分摊-收益共享契约给出回收商与处理商合作回收机制。研究主要结论:分类回收不仅对处理商有利,还对回收商有利;政府选取不同补贴对象只对单位废旧产品间接回收价格有影响,对单位废旧产品回收价格、分类回收程度、废旧产品回收数量和收益影响效果一样;成本分摊-收益共享契约可以使分散决策时收益达到集中决策时收益。The game model between a recycler and a processor based on the classified recycling is established in order to analyze the impact of government different subsidy objects on waste product recycling.Based on the optimal solution of the game model,firstly,the advantages and disadvantages between classified recovery and unclassified recovery are compared and analyzed.Secondly,the influence of different subsidy objects selected by the government on the competition between recyclers and processors is analyzed.Finally,the cooperative recovery mechanism between a recycler and a processor is proposed based on the cost-sharing and revenue-sharing contract.The main results are as follows:classified recycling is not only beneficial to the processors,but also to the recyclers;the selection of different subsidy objects by the government only has an impact on the unit indirect recycling price of waste products,and has the same effect on the unit recycling price of waste products,the degree of recycling classification,the quantity of recycling waste products and the profits.The cost-sharing and benefit-sharing contract can make the profit of decentralized decision reach that of centralized decision.
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