School climate’s dynamic effect on student is widely explored in the study in different subjects; however, quietly, a few types of research concentrate on comparing different dimensions of school climate’s effect on student and the influence path in different countries. To analyze and compare the school climate’s mechanism in different countries’ basic education system, this article used a comparative method to explore the explanation of school climate on school students’ performance. With the application of 73 countries’ panel data from the PISA database, the author calculated the different school climate combinations’ consistency and coverage in relation to school students’ performance by fs-QCA. The author found that the punctuality of students and the classroom discipline can explain the good performance of students. It also found that the combination of multidimensional school climate has a higher explanatory power than a single factor. Finally, this study ends with countermeasures and suggestions which include improving the school climate of the regional education system and improving the utility of school climate through the appropriate mix of school climate.

For a long time, the research on the relationship between economic growth and the transfer of surplus labor has been the focus and hot issue of all kinds of people. As a model that can describe the nonlinear transformation between different states of variables in detail, the STR model is the Frontier and hot topic of nonlinear time series analysis. In recent years, it has been successfully applied in the fields of economy, finance, capital market, macro policy simulation, and so on. The STR model can well describe the nonlinear and nonequivalent linkage effect between economic growth and surplus labor and has significance in both practice and theory. By constructing an STR model of four variables, including the added value of rural labor transfer and the real added value of each industry, this paper conducts an empirical analysis on the extremely dynamic interaction between the transfer of rural surplus labor and various industries in China. There is an interactive effect of economic growth. The results of the study show that the relationship between human capital and economic growth in China presents a nonlinear characteristic of periodic changes, and frequently switches between linear and nonlinear relationships.