This systematic review examined research on the self-efficacy of teachers of Chinese as a foreign language (TCFL) from 2004 to 2024. Guided by social cognitive theory and Bandura’s concept of self-efficacy, 15 empirical studies were synthesized following PRISMA guidelines, employing both qualitative and quantitative analyses. The review identified key factors influencing TCFL teacher self-efficacy, including personal, student, and environmental factors. It further showed that teacher self-efficacy predicts important outcomes such as technology use and integration, career development and retention, and emotional and psychological resources. The findings underscore the need for targeted professional development, supportive institutional policies, and cross-cultural adaptation resources, and they point to future research directions on emerging technologies and diverse teaching contexts.

Agricultural production waste (APW) is characterized by pollution, increasing volume, spatial dispersion, and temporal and spatial variability in its generation. The improper handling of APW poses a growing risk to the environment and public health. This paper focuses on the planning of APW recycling networks, primarily analyzing the selection of temporary storage sites and treatment facilities, as well as vehicle scheduling and route optimization. First, to minimize the required number of temporary storage sites, a set coverage model was established, and an immune algorithm was used to derive preliminary site selection results. Subsequently, the analytic hierarchy process and fuzzy comprehensive evaluation method were employed to refine and determine the optimal site selection results for recycling treatment facilities. Second, based on the characteristics of APW, with the minimization of recycling transportation costs as the optimization objective, an ant colony algorithm was used to establish a corresponding vehicle scheduling route optimization model, yielding the optimal solution for recycling vehicle scheduling and transportation route optimization. This study not only improved the recycling efficiency of APW but also effectively reduced the recycling costs of APW.