Under the climate change aggravating the issues of energy security and food shortage, global agriculture suffers from great pressure, and how to promote sustainable agriculture has become one of the hot issues of concern in academia. This paper focuses on China, where efforts are being made to develop sustainable agriculture, and takes the western part of Shandong Province as the target of study. Based on the identification of factors that affect the promotion of the local circular agriculture implementation, AMOS was applied to construct and test the structural equation model and to explore the interaction mechanism between each variable. The study breaks through the traditional modes of data collection and is based on the actual farming conditions of the farmers currently, choosing to obtain data by means of questionnaires and field surveys. The 24 selected factors were analyzed by SPSS and AMOS software, and the total model weight of each factor were calculated separately. The top five key factors affecting the advancement of the model, namely government policy encouragement, preferential agricultural loans support, participation of specialized agricultural organizations, estimated revenue of the mode and farmers' awareness of environmental protection, are obtained with weight of 6.08%, 5.60%, 5.59%, 5.26% and 5.09%, respectively. Combined with data to focus on analysis, this paper puts forward some relevant countermeasures and suggestions to promote the integrated planting and breeding mode in accordance with local conditions, which can provide beneficial reference for government departments to make relevant policies.analysis of the key paths, field surveys, policy suggestions, structural equation model, the integrated planting and breeding mode
| INTRODUCTIONFacing the increasingly serious problems of population growth, energy crisis and climate change, global agricultural development is greatly challenged. In total, agricultural land covers about 1/3 of the earth's land and 26% of the total global greenhouse gas emissions come from agricultural production activities (IPCC, 2019;Poore & Nemecek, 2018). From a mode point of view, the development of