As an important measure to promote the black soil protection strategy, returning straw to the fields is the choice of government policy to affect the decision-making behavior of farmers, and the policy implementation process is a dynamic game equilibrium process between farmers and the government. In order to explore the influence of policies on farmers’ straw-returning decision-making and stability processes, this paper used a logit model to analyze the influencing factors on farmers’ straw-returning decision-making behavior based on the survey data of 397 farmers in Hailun City, Heilongjiang Province. This study also constructs the evolutionary game model between farmers and government, carrying out a stability strategy analysis and numerical simulation. The results evidence that farmers’ cognition of fertilization technology, ecological protection, policy satisfaction and cognition of straw returning recipients have a significant negative influence on their willingness to return to the field, and the effect intensity decreases successively. What is more, cognition of crop disease resistance has a positive effect on the willingness of returning straw to the field. It is found that the game balancing process of farmers’ behavior and government straw returning policy evolution can be divided into three stages. At present, China’s straw returning policy is in the intermediate stage, and government needs to provide comprehensive compensation for returning straw to the field according to local conditions such as farmers’ willingness, crop conditions and so on.

Improving the efficiency of factor allocation in food production is the foundation for accelerating the formation of new quality productivity and achieving an agricultural green transformation. However, there has been no scholarly focus on their mechanisms and the interactions involved. This exploration is an important reference for enhancing the green production capacity of major grain-producing areas. In this study, 13 prefecture-level cities in Heilongjiang Province, China’s largest grain production base, were selected as the research samples. A model for identifying factor misallocation and grain green total factor productivity (A_GGTFP) was constructed to identify the spatiotemporal differences in factor misallocation and green total factor productivity. A fixed effects model was used to explore the impact of single-factor misallocation and the interaction of dual-factor misallocation with A_GGTFP. The results show that from 2004 to 2022, the A_GGTFP in 13 prefecture-level cities in Heilongjiang Province has shown a slow growth trend. The inhibitory effects of single-factor misallocation of land, labor, and capital on green total factor productivity are sequentially enhanced. The interaction effects of capital misallocation and labor misallocation and labor misallocation and land misallocation strengthen the inhibitory effects of misallocation on the A_GGTFP. Therefore, it is necessary to further promote the optimization of production factors and improve the green production capacity for grain.