Analyzing agricultural ecological efficiency in Weihai City based on the SBM, STIRPAT and SLM models

The essay is to study the development of ecological agriculture in Weihai city. The super slack-based measurement (SBM) model was adopted to measure the agricultural ecological efficiency of Weihai City's seven districts and counties from 2008 to 2018. Based on the stochastic impacts obtained by conducting a regression on the STIRPAT model, the spatial lag model (SLM) was applied to empirically analyze the factors influencing agricultural ecological efficiency and the corresponding mechanisms. Our findings indicate that, in their direct effects, the population density, proportion of the primary industry, urbanization rate, agricultural mechanization rate, and agricultural development scale were significantly positive. Meanwhile, the rural labor transfer, agricultural output value per capita, and industrialization rate were significantly negative, and the planting structure was not significant. Under the spatial spillover effects, the rural labor transfer and agricultural output value per capita were significantly positive. The proportion of the primary industry and agricultural development scale were significantly negative, while the population density, urbanization rate, industrialization rate, agricultural mechanization rate, and planting structure were less significant. The suggestions put forward are to increase the level of scale, promote research and development, and adjust the industrial structure. The innovation and contribution of this paper lies in the application of the STIRPAT and SLM models to study the issue of agricultural ecological efficiency. (paper)