In the context of China’s large country with small farmers, agricultural socialized services are regarded as an important way for small farmers to organically connect with modern agriculture and provide ideas for improving agricultural green total factor productivity (AGTFP). Based on data from 1066 farmers from the China Land Economy Survey (CLES), this paper takes net carbon sink as the environmental output variable, adopts the Cobb–Douglas production function for stochastic frontier method estimation, and measures the AGTFP based on the stochastic frontier analysis method with an output-oriented distance function. At the same time, through the construction of intermediary effect and regulatory effect models, it empirically analyzes the impact and mechanism of agricultural socialized services on farmers’ AGTFP from the perspective of factor allocation. The study found that agricultural socialized services not only significantly promote AGTFP, but also that the effect of AGTFP improvement is more significant as the degree of participation in agricultural socialized services increases. The main results have passed a series of robustness tests. Further research found that agricultural socialized services promote the improvement of AGTFP through the intermediary role of improving the scale of farmland and the level of agricultural green technology adoption. Off-farm employment of the rural labor force has a positive regulatory effect between agricultural socialized services and AGTFP. Therefore, it is recommended to further play the role of agricultural socialized services in optimizing the allocation of production factors and to motivate agricultural socialized service organizations to provide multiple green production services for farmers through policy support or subsidies, enhance the service capacity of agricultural socialized service organizations, and provide precise services by fully considering the differences in the endowment of production factors among farmers, as well as take multiple measures and make solid and steady progress in promoting the sustainable development of agriculture.

Farmers’ green breeding behavior is significant to environmental protection and sustainable development. Based on the micro-survey data of 1248 beef cattle farmers in Inner Mongolia Autonomous Region and Jilin Province, the OLS model and regulatory effect tests are used to analyze the influence of social learning on farmers’ green breeding behavior and to verify the mechanism of environmental regulation. Key findings include the following: (1) Social learning has a significant positive impact on farmers’ green breeding behavior. (2) Social learning has a significant positive impact on farmers’ willingness to undertake green breeding, farmers’ specific behavior of green breeding, and farmers’ continuous green breeding, among which the effect on specific behavior of green breeding is the most positive. (3) Environmental regulation plays a moderating role in the relationship between social learning and farmers’ green breeding behavior, among which all sub-dimensions of environmental regulation (incentive-based environmental regulation, binding environmental regulation and guided environmental regulation) have positive reinforcing effects, especially the most significant reinforcement effect of binding environmental regulation. Based on the research conclusions, this study proposes policy suggestions such as strengthening the training of farmers, strengthening the learning and communication among farmers’ neighbors, increasing the frequency of farmers’ use of mass media, improving the environmental regulation policy system, and promoting the coordinated development of environmental, economic, and social benefits.