In agricultural production, chemical fertilizers and pesticides are being used in large quantities; the residues of these substances have some negative impact on the quality of agricultural products and soil, and they produce a large amount of carbon emissions. Green agricultural products are popular for their low carbon, quality, and safety, and they flow from the production side to consumers through a traceable supply chain. Therefore, ensuring the reliable and stable operation of the traceable supply chain for green, low-carbon agricultural products is an important issue. In view of the difficulty of obtaining information in previous coordination mechanisms in multi-person cooperative games, this article proposes an optimal pricing decision and constructs a profit-distribution model based on an improved Raiffa value to make the profit-distribution mechanism more conducive to the stability and sustainable development of the supply chain, and empirical analysis was carried out. The empirical analysis shows the following: (1) The centralized decision-making selling price of green and low-carbon agricultural products based on the quantitative cost–benefit analysis and demand function can realize the optimal profit of the supply chain. (2) Using the improved Raiffa value, considering the investment cost and risk to allocate the optimal profit of centralized decision-making, optimizes the profit distribution of supply chain members and overcomes the problem of the difficulty in acquiring information in multi-player cooperative games. (3) For investment costs and risks, the corresponding profit-distribution adjustment value weight vector can be obtained using the AHP; for risks that are difficult to quantify, the fuzzy comprehensive evaluation method and the risk-factor-based method can be used to determine the risk coefficient of each member of the supply chain. The optimized profit-distribution mechanism of supply chain members is more reasonable than decentralized decision-making, which has a significant reference for promoting the sustainable development of a traceable supply chain of green and low-carbon agricultural products.

As the economy develops, the level of logistics required means many activities become increasingly dependent on transportation, which leads to the deterioration of the ecological environment, aggravates air pollution, causes urban traffic jams, and has a negative influence on sustainable development. Therefore, in the context of sustainable development, how to coordinate the development of the logistics industry and regional economy has become a governmental and academic focus. The coupling coordination degree model and spatial autocorrelation analysis model were applied to empirically analyze the coupling and coordination of the logistics industry and economy in each city in YRDR and the relationship of mutual influence. The research results show that, for economically developed cities, economic development had more influence on the coupled and coordinated degree of the two, and for the less developed cities, the development of logistics drove the improvement of the coupled and coordinated degree of the two. The analysis of the Anhui Province showed that the coupling and coordination degree of its own logistics industry and economy was driven by strong radiation, and the impact on that degree of the logistics industry and economy of cities in Jiangsu, Zhejiang, and Shanghai was not significant. The development of the coupling and coordination degree of the two variables of cities in Jiangsu Province was more balanced. The divergence degree of that of the logistics industry and economy of cities in Zhejiang Province exhibited a tendency to increase, and the divergence mainly came from the endogenous development of each city. The variability was mainly due to the endogenous dynamics of each city’s development. Finally, suggestions for the coordinated and sustainable development of the logistics industry and regional economy are provided.