Poverty alleviation ecosystem evolutionary game on smart supply chain platform under the government financial platform incentive mechanism

Artificial intelligence, machine learning and big data computing promote the development of smart supply chain. The cooperative poverty alleviation model with multi subject participation composed of cooperative, smart supply chain platform and the government was constructed. The evolutionary game method was used to explore the behavioral strategies of cooperative poverty alleviation ecosystem between the smart supply chain platform and the cooperative under the government financial platform subsidy mechanism. Particularly, the game equilibrium in the cooperation between the smart supply chain platform and the cooperative under the subsidy and non subsidy mechanisms of the government was analyzed. Finally, numerical simulation was implemented to analyze the effects of risks, intelligence degree, consumer preference and price on game equilibrium. The study results demonstrate: (1) In the range allowed by technology and cost, increasing the intelligence degree of the smart supply chain platform will benefit the cooperation between the smart supply chain platform and the cooperative; (2) Under high unsalable risks and unsalable losses, the cooperative will cooperate with the smart supply chain platform; (3) consumer preference influences not only the cooperative game between smart supply chain and cooperative, but also product demand and product price; and (4) under constant conditions, dependence on government subsidies is inversely proportional to the intelligence degree. In other words, enhancing the intelligence degree of the smart supply chain platform helps to transform the "blood transfusion" poverty alleviation to "hematopoietic" poverty alleviation, and decreases the dependence of poverty alleviation on government financial platform subsidies. (C) 2019 Elsevier B.V. All rights reserved.