By embedding blockchain technology into the process of standardized production of agricultural products, we use the characteristics of blockchain such as tamper-proof, decentralization, and consensus mechanism to solve the trust problem, responsibility problem, and quality problem in the process of standardized production of agricultural products. These three subjects in the process of standardized production of agricultural products are analysed, and the three-party game model among agricultural producers, government, and consumers is constructed with the help of the evolutionary game method, and the influence of each subject in different strategies is analysed, and the inference results are simulated and experimented with MATLAB 2016 software. The results show that the standardized production of agricultural products embedded in blockchain needs to meet three basic conditions: agricultural producers need to ensure that the sum of production costs and penalties for noncompliance following technological innovation using blockchain is less than the sum of production costs and penalties for noncompliance for traditional agricultural products; the difference value between strict and loose government regulation needs to be smaller than the amount of penalty for violation of standardized production of agricultural products embedded in blockchain; the cost of whistleblowing for consumers needs to be less than the number of penalties incurred for production violations when agricultural producers choose standardized production of agricultural products embedded in blockchain. It is also found that the violation ratio of agricultural producers, the social welfare of strict government regulation, and the whistleblowing benefit of consumers are the key factors affecting the standardized production of agricultural products, and the analysis of the influence of the key factors points to the direction for promoting the standardized production of agricultural products.

After implementing the Dual-credit policy, automakers must adjust their production and operation strategies to cope with policy changes. This paper studies an automotive supply chain consisting of an automaker that produces traditional fuel vehicles and new energy vehicles and a dealer as the research object. Meanwhile, this paper constructs a trading strategy and a cooperative strategy model considering consumers’ fuel consumption sensitivity and endurance capacity sensitivity. This paper also compares decentralized and centralized decision-making of automotive supply chain under different strategies. Furthermore, this paper compares and analyzes the optimal credits strategies of automaker with different investment amounts. The research finds that automaker can obtain positive new energy vehicle credits (NEV credits) through direct trading or by cooperatively obtaining NEV credits with other automakers. Whether automaker chooses the trading strategy or the cooperative strategy, members’ profits of centralized decision-making in automobile supply chain are better than decentralized decision-making. When the investment amount of automaker is small, the cooperative strategy is more advantageous. After coordination through the revenue-sharing contract, the benefits of supply chain members reach Pareto optimality. This paper helps enterprises effectively deal with the Dual-credit policy and provides a reference for achieving carbon emission reduction targets in China.

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Countries around the world advocate low-carbon, green, and environmentally friendly lifestyles to combat climate change, which provides clear direction for enterprise decisions. This paper studies a low-carbon dual-channel supply chain based on behavioral economics, incentive theory, and optimization models to better formulate pricing decisions. This paper constructs a fair and neutral decentralized decision-making model (FNDD), a decentralized decision-making model considering Nash bargaining fairness concerns (NBFDD), a decentralized decision-making model considering absolute fairness concerns (AFDD), and a fair and neutral centralized decision-making model (FNCD) considering consumer preferences and the situations where supply chain members are fairness concerns or fairness neutrality. This paper analyzes the effect of low-carbon advertising level on pricing strategies of online retailers and offline stores and compares pricing strategies of online retailers and offline stores in four decisions. The results show that Nash bargaining fairness concerns of supply chain members could effectively reduce the retail price of low-carbon products and increase their sales volumes. Absolute fairness concerns intensify the dual marginal effect of decentralized decision-making.