Differential Game of Dynamic Low-Carbon Supply Chain Driven by Block-Chain Technology and Considering Enthusiasm for Emission Reduction
Aiming at a low-carbon supply chain composed of a manufacturer,a re-tailer and consumers,this paper considers the stochastic dynamic characteristics of the manufacturer's enthusiasm for emission reduction,and studies the differential game between two suppliers under the background of consumers'green trust and low-carbon preference.The stochastic evolution process of the manufacturer's enthu-siasm for emission reduction is described by using Itô process.Based on the profit structure of members,the stochastic differential game model of low-carbon supply chain with and without blockchain technology is constructed.By using Bellman's continuous dynamic programming theory,the feedback strategies of members in two equilibrium situations are solved,and the stochastic dynamic evolution characteris-tics of the manufacturer's enthusiasm for emission reduction are revealed.Finally,a numerical example is given to analyze the influence of the manufacturer's enthu-siasm for emission reduction,consumers'green trust and low-carbon preference,as well as stochastic disturbance factors on members'equilibrium strategy and optimal profit under stable and dynamic equilibrium conditions,The results show that,due to the influence of random interference factors,the manufacturer's enthusiasm for emission reduction always fluctuates around its expectation,and finally stabilizes at a steady-state value.The improvement of manufacturer's enthusiasm for emission reduction and consumers'low-carbon preference can bring economic benefits to the manufacturer.The adoption of blockchain technology is more conducive to improv-ing the profitability of the retailer,and whether the manufacturer adopts blockchain technology needs to consider the influence of consumers'low-carbon preference and green trust.
Block-chain technologyenthusiasm for emission reductiondynamic low-carbon supply chaingreen trustlow-carbon preferenceItô process
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