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Agricultural, rural, and farmer-related issues are of pivotal importance, significantly influencing the evolution of our party, nation, and state. Central to these multifaceted issues, the farmer's plight is three-fold: low earnings, the hardship of income augmentation, and a pronounced socioeconomic divide between rural and urban areas. The crux of resolving these agricultural, rural, and farmer-related issues lies in elevating the income levels of farmers. Utilizing data from the China Family Panel Studies (CFPS) 2018, this study probes the influence of social capital on the earnings of rural dwellers and delves into the intermediary role of non-agricultural employment. The findings indicate a substantial and positive correlation between social capital and rural income. The conclusions remain robust even after applying instrumental variable methods to counteract endogeneity. Mediation analysis reveals that social capital significantly boosts opportunities for non-agricultural employment, which, in turn, enhances the income of rural residents. Therefore, the roles of social capital and non-agricultural employment in income augmentation warrant careful consideration.

[Purpose/Significance] In order to solve the problems of incomplete data chain and insufficient data support decision-making ability in agricultural science and technology management, this paper put forward a set of industrial knowledge service model based on the needs of scientific management in agriculture, and completed the key part of the model, the research and practice on association of scientific data and scientific literature. This study will provide theoretical and practical cases for library and information science (LIS) research institutions to serve agricultural science and technology management and industrial development. [Method/Process] Firstly, this paper reviews the current situation of research into knowledge service and data association. Secondly, based on the analysis of characteristics of industrial requirements and data management life cycle in agricultural science and technology management, the paper constructed a knowledge service model with industrial characteristics. Then, based on the agricultural science data and scientific literature of Sichuan Province, the study designed and constructed an ontology model and system based on industrial elements. [Results/Conclusions] 20 data types, 24 284 scientific data entries and related scientific literature were integrated. And we established multi-source heterogeneous data association in 1 system platform and 1 sub-platform with Chinese and English data. The research results will provide reference for cross-field cooperation between agricultural science and technology management and LIS research, and cross-departmental sharing of scientific data and scientific literature.