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Research On Supply Chain Decisions Based On Consignment Contract Under A Cap-and-Trade System

Posted on:2020-07-20Degree:MasterType:Thesis
Country:ChinaCandidate:M ZhangFull Text:PDF
GTID:2381330602464907Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
In recent years,the impact of the global warming has gradually attracted people's attention,and the low-carbon economy is becoming the focus of the next development of countries.In order to actively respond to environmental problems,countries have formulated relevant laws and regulations to regulate and guide carbon emissions activities,such as the carbon emission reduction mechanism for energy reduction in the United Kingdom;the carbon tax and carbon emissions trading system bill passed by the EU,etc.China has also given enterprises more flexibility in carbon emissions through the formulation of low-carbon certification systems,the issuance of low-carbon product certification catalogues,and the establishment of pilot cities for carbon emissions trading.How can companies effectively combine low-carbon models with existing operating models for sustainable development is a great significance for supply chain management.At present,as the status of retailers in the supply chain rises,their choice of supply chain contracts is more flexible.The use of revenue sharing consignment contracts has a greater advantage for retailers.Risk and inventory management risks are transferred to the manufacturer through the consignment contract,so the manufacturer's risk attitude will directly influence the overall optimization decision of the supply chain.Based on this,this paper studies the supply chain operation decision based on the revenue sharing consignment contract under the carbon trading regulation,analyzes and compares the supply chain decision-making when the manufacturer has risk neutrality and risk aversion.This paper mainly contains the following three parts:The first part fully explains the research background,research purpose and research significance of this paper.Combined with the research theme,this paper systematically and comprehensively combs relevant research results and viewpoints at home and abroad.On the other hand,we mainly expound the basic theory of supply chain,supply chain contract,consignment stock and risk management.The necessary concept theory related to the subject of this paper is clarified,which provides a good and necessary support structure for the further analysisThe second part is based on the revenue sharing consignment contract under the carbon trading regulation,we analyze the optimal decision-making situation of the second-level low-carbon supply chain composed of single-risk neutral manufacturer and single-risk neutral retailer.The study found that the utility of supply chain members is related to variables such as low carbon preferences,cost sharing ratios,and revenue sharing ratios;there is a boundary between the realization of the optimal emission reduction level of the manufacturer and the retailer's optimal profit;the supply chain efficiency is related to whether the retailer shares the manufacturer's abatement costs.The third part is based on the revenue sharing consignment contract under the carbon trading regulation,and combined with the CVaR conditional risk measurement method,analyzes the optimal decision-making of the low-carbon supply chain consisting of a single risk aversion manufacturer and a single risk neutral retailer.The study found that the variables of utility,carbon emission reduction and production of supply chain members are related to the manufacturer's risk aversion;supply chain efficiency is positively correlated with the manufacturer's risk aversion.In addition,the paper also found that the carbon trading price and the low carbon preference of consumers all affect the carbon emission reduction level of manufacturers.And it is difficult to realize the perfect coordination of such supply chain systems.
Keywords/Search Tags:Consignment Contract, Carbon Limit Trading, Supply Chain Decision, Risk-Averse, CVaR
PDF Full Text Request
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