Abstract:This paper uses the micro-data of 942 households in four major agricultural provinces of Shandong,Henan,Shaanxi and Sichuan to measure the degree of social network embedding of farmers from the two dimensions of relationship embedding and structure embedding.Probit model is employed to make an empirical analysis of the impact of the aging of agricultural labor and social network embedding on farmers’ access to agricultural technology extension services.The results showed that the aging of agricultural labor force has a significant negative impact on the acquisition of agricultural technology extension services for farmers.The social network embedding can alleviate the adverse effects of agricultural labor aging on farmers’ access to agricultural technology extension services.From the perspective of social network embedding in different dimensions,both relationship embedding and structure embedding have a positive impact on farmers’ access to agricultural technology extension services,but only structural embedding significantly mitigates the negative impact of agricultural labor aging on the acquisition of agricultural technology extension services while the relationship embedding effect is not significant.Further tests showed that the mitigation effect of social network embedding will increase with the aging degree.Therefore,this paper proposes a feasible path to alleviate the negative impact of agricultural labor aging on farmers’ agricultural technology extension services.