Agricultural leisure is one of the development trends in modern society. However, in leisure agriculture management, managers must consider the dual characteristics of agricultural production technology and the leisure service industry. Therefore, managers often face various selection pressures during management decision-making. This study examined the following five evaluation aspects: organization and operation, leisure agricultural resources, environmental maintenance management, public facility maintenance management, and operational performance. Thereafter, according to the five evaluation aspects, 21 subprojects were further divided at the second level on the basis of different attributes. Fuzzy analytic hierarchy process (FAHP) was adopted to calculate the relative weights of various indicators, and the indicators were dynamically sorted according to their importance. Moreover, the study summarized the dynamic management indicators of leisure agriculture and contributed to research on leisure farming. The results show that managers’ approach toward leisure agriculture management can be divided into three types: active, moderate, and conservative. The indicators in which the active managers attach importance when managing leisure agricultural enterprises are clearly different from those valued by moderate and conservative managers. Finding managers who are suitable for leisure agriculture management is of great significance to leisure agriculture enterprises. Appointing managers with appropriate attitudes who can continuously improve the efficiency of enterprises and create a competitive advantage can bring sustainable business value to these enterprises.

The study uses Data Envelopment Analysis to evaluate papaya production in key Taiwanese cultivation zones from 2018-2021. Papaya yield is output, whereas seeds, labor, capital, fertilizers, and pesticides are inputs. Estimated county-level technical efficiency ratings measure production. The Malmquist Productivity Index explain productivity trends in which Nantou has the greatest mean technical efficiency, whereas Pingtung has the lowest and is falling. This study shows regional and temporal variability in Taiwanese papaya production efficiency. Prioritizing technical diffusion, input reallocation, and agricultural extension services can boost lagging regions' production to best practice.