Application of Data-Driven Economic Management to Structural Equation Modelling in Chinese Peacekeeping Missions

In the context of globalisation, China actively participates in UN peacekeeping missions and is committed to global peace and stability. This study delves into the application of economic management in China's peacekeeping missions from a data-driven perspective, using structural equation modelling (SEM) as the main analytical tool. The study firstly portrays its observed variables by collecting and analysing data on relevant variables, including the number of China's peacekeeping missions, the efficiency indicators of economic management, and the completion rate of the missions. Second, the study identifies three latent variables, namely the success of China's peacekeeping missions, the effectiveness of economic management, and the impact of peacekeeping missions on the local economy, to explore the potential relationship between these variables. The estimation of the SEM model led to the results of factor loadings, path coefficients and goodness-of-fit indicators. It is found that there is a significant positive relationship between the number of Chinese peacekeeping missions, the efficiency of economic management and the mission completion rate. In addition, the success of Chinese peacekeeping missions has a positive impact on the local economy. This study not only provides new insights for theory, but also provides strategic suggestions for practical operation.