Spatial-Temporal Differentiation of Green Agricultural Total Factor Productivity in China under the Guidance of Digital Technology and Fuzzy System

Abstract

Abstract This work aims to promote the concept of green development of agriculture and the sustainable development of China’s agriculture. First, the application concept of digital technology is expounded. Then, the basic idea of the fuzzy system is discussed. Finally, the composition and development of China’s green agricultural total factor productivity (ATFP) are analyzed, and the green ATFP model is constructed. The results demonstrate that the current agricultural development mainly depends on labor force and resources, and the transformation of labor force structure is an essential factor affecting the agricultural development. The agricultural labor force especially changes to feminization, aging, and urbanization, resulting in a severe shortage of agricultural labor force and retardation in agricultural development. In addition, this work builds the theoretical framework of green ATFP based on the guidance of digital technology and fuzzy system. The evaluation results indicate that the contribution rate of each index drops significantly under the green ATFP model, and the highest contribution rate is around 1.23. It can be seen that the current measures of China’s green agricultural total elements are not perfect, the development of China’s agriculture is not sufficient, and the emphasis on the environment is not high enough. The research reported here provides a reference for promoting the development of agriculture and contributes to the green development of agriculture in China.