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Agricultural industry agglomeration is an important driving force for the green and high-quality development of agriculture. Based on the perspective of agricultural industry agglomeration, this paper discusses the impact of agricultural industry agglomeration on the level of green development of agriculture, which is of great significance for the realization of sustainable development of agriculture and the implementation of the “double carbon” goal. Based on the panel data of 30 provinces (municipalities) and autonomous regions in China from 2011 to 2020, the non-expected Super-SBM model and location entropy index method were used to measure the efficiency of agricultural green development and the level of agricultural industry agglomeration. The spatial Dubin model, tradition and spatial Markov chain were used to demonstrate the influence of agricultural industrial agglomeration on agricultural green development efficiency and its spatio-temporal dynamic evolution.The results showed that: (1) There was spatial autocorrelation in agricultural green development efficiency. Areas with higher agricultural green development efficiency will drive the improvement of agricultural green development efficiency in surrounding areas, with a positive spillover effect. (2) Industrial agglomeration can improve the efficiency of agricultural green development, and this enhancement has spatial spillover. (3) The influence of agricultural industrial agglomeration on agricultural green development efficiency and its spatial spillover have regional heterogeneity. The spillover effect of AIA to AGDE in the eastern region is greater than that in the central and western regions. Based on this, it is necessary to grasp the spatial correlation law of provincial agriculture, promote the sustainable development of regional agriculture, optimize the allocation of resources, and put forward policy implications for the improvement of agricultural green efficiency from the aspects of financial support, industrialization, human capital and urbanization. [ABSTRACT FROM AUTHOR]

The integration of agriculture and tourism heavily depends on agricultural resources, and in turn, it can also contribute to agricultural sustainability. Based on panel data from 30 provinces in China from 2008 to 2019, the relationship between agriculture and tourism integration and sustainable agricultural development is empirically analysed using the fixed effect model, system GMM model and spatial Durbin model. Results are as following: (1) The level of sustainable agricultural development (SADL) and the level of integration of agriculture and tourism (ATL) increase steadily during the study period, presenting obvious spatial agglomeration characteristics. (2) ATL has a positive impact on SADL. So improving the integration of agriculture and tourism can contribute to promoting sustainable agricultural development. (3) SADL of the previous period has a significant influence on the level of SADL of the current period, showing strong path dependence and inertia effects. Even so, the integration of agriculture and tourism is still effective in promoting the sustainable development of agriculture. (4) The effect of ATL on SADL has a spatial spillover effect. That is, the integration of agriculture and tourism in a region can promote sustainable development of agriculture in its neighbouring provinces. Based on the above findings, this paper proposes policy recommendations for the integral development of agriculture and tourism and promotion of the sustainable development of agriculture. [ABSTRACT FROM AUTHOR]