Abstract
Purpose - This paper aims to empirically analyze factors associated with international trade settlement methods and cross-border Renmingbi (RMB) settlement. RStudio was employed to perform an empirical analysis of prior research via meta-analysis, and to examine research trends pertaining to international trade settlement. Following the preceding research, factors such as economic scale, trade scale, RMB exchange rate forecast, money supply, inflation rate, and overseas financial market development have been identified as influential factors on RMB settlement. This study aims to investigate the impact on international RMB settlement. This paper provides a summary of the research areas pertaining to trade settlement methods by Chinese scholars, and examines deficiencies in China's research in this field.
 Design/methodology - The empirical model takes into account both direct and indirect factors that influence RMB settlement. Utilizing the established theoretical framework to ascertain the correlation between different factors and the influence on RMB settlement, with the aim of offering recommendations for the facilitation of RMB settlement is the goal of the study.
 Findings - The study reveals that RMB settlement transaction volume has a significant impact, while other factors such as economic scale, exchange rate, and trade scale also exert influence. Among these factors, economic scale exerts the most significant influence. However, over time, economic growth may reach a point of saturation, leading to a gradual reduction in its impact on RMB settlement.
 Originality/value - This research aims to conduct a meta-analysis to statistically analyze the current research status and trends of trade settlement methods. This approach seeks to provide an objective and quantitative understanding of the research context and direction. Furthermore, the findings of the meta-analysis served as foundational data to employ a Vector Autoregression (VAR) model in a comprehensive analysis to simulate and forecast the interrelationships and effects of diverse factors.
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