Research On Green Innovation Decision-making Of Auto Companies Based On Supply Chain Coordination Under Fairness Preference

In recent years,environmental pollution,energy shortages have become increasingly prominent.The new energy automobile industry has received widespread attention from governments around the world due to its outstanding advantages in energy conservation and environmental protection.As the world’s largest automobile producer,China is promoting the acceleration of the green transformation of the automobile industry.Under the current situation,more and more automobile companies have begun to pay attention to green innovation strategies.Since green innovation has high requirements on corporate funds,talents,craftsmanship and so on.Only if automobile companies obtain the support of supply chain partners,they can successfully implement green innovation strategies and develop green products that meet the requirements.In the green innovation activities of the supply chain,the fairness of income distribution often attracts great attention from the weak members of the supply chain.However,there are few researches on the dynamic mechanism of green innovation based on supply chain coordination,and the influence of the fair preference characteristics of supply chain members on the green innovation decision-making of the supply chain is still unclear.In view of above,this article takes green innovation based on supply chain collaboration as the research object,analyzes and summarizes the driving factors of corporate green innovation based on supply chain collaboration,and determines the key driving force of green innovation for automotive companies based on supply chain collaboration through empirical research.It provides theoretical and practical support for the research on green innovation decision-making in the supply chain.Finally,fair preference theory is introduced into the decision-making problem,and a Stackelberg game model is constructed based on government incentives and constraints,consumer green preference,and supply chain internal revenue sharing behavior.The main research work of this paper is as follows:(1)In order to systematically analyze the interaction mechanism of supply chain collaboration and green innovation,from the three perspectives of internal,external,and supply chain collaboration,the driving factors for corporate green innovation are summarized,and innovative motivation mechanism of green innovation based on supply chain collaboration is constructed.Then,hypothesis on the key driving forces that influence the green innovation decision-making of the supply chain is made;(2)In order to combine the actual background of the automobile industry to verify the key driving force of the green innovation decision-making of automobile enterprises,and the driving factors of supply chain coordination have an important influence on the green innovation of enterprises.Based on the status quo of green innovation of auto companies,this paper analyzes the interaction mechanism of green innovation driving factors of auto companies in supply chain collaboration through the Interpretation Structure Model(ISM)and MICMAC method,which proves the importance of supply chain collaboration to the green innovation strategy and fully validates the assumption made in the previous chapter that government behavior,consumer behavior,and revenue sharing behavior within the supply chain are the key driving forces for corporate green innovation decisions.(3)In order to explore the impact of supply chain members’ fair preference characteristics on supply chain green innovation input,this article introduces fair preference theory to the supply chain green innovation decision-making problem in the context of government incentives and constraints,consumer green preference,and supply chain internal revenue sharing.Establish a Stackelberg game model in the three cases where both the supplier and the manufacturer are fair and neutral,and only the supplier has fair preference characteristics and only the manufacturer have fair preference characteristics.Analyze the influence of fair preference behavior and related parameters of supply chain members on the optimal decision-making of the supply chain,and verify the validity of the analysis results through numerical simulation.