To explore the core value of business English application in cross-cultural real estate investment projects and address the issue of low investment efficiency in some enterprises, this paper selects the CCR model and BCC model from the data envelopment analysis method to analyze the investment efficiency of real estate investment projects from a static perspective. Additionally, the Malmquist productivity index, which calculates the input-output index using the distance function ratio, is introduced to dynamically monitor the investment efficiency of real estate investment projects. Panel data from 30 provinces, municipalities, and autonomous regions in China from 2012 to 2023 were selected to construct a panel regression model examining the impact of business English application on the investment efficiency of real estate investment projects. The results show that teams with high levels of business English proficiency can enhance project investment efficiency. The cultural difference coefficient at the national level is -0.065, indicating that cultural differences significantly reduce real estate investment efficiency. Therefore, it can be concluded that improving business English proficiency is an effective path to optimizing the investment efficiency of real estate investment projects in emerging markets.
