Tourism forecasting has been a focal point of tourism research over the past few decades as a result of the corresponding rapid development and expansion of the tourism industry. A bibliometric analysis, based on 543 articles retrieved from the Web of Science Core Collection database, was carried out to provide insights into hot topics as well as emerging trends in tourism forecasting research. The results show that the research outputs related to tourism forecasting have grown rapidly since 2006. The observed hot topics in tourism forecasting were to predict tourism demand via various models, including time series models, econometric models, and artificial intelligence-based methods, and to compare the forecasting accuracy of models. An emerging trend of tourism forecasting is to use methods based on data from a web-based search engine. Our study provides insights and valuable information for researchers to identify new perspectives on hot topics and research frontiers.

Using a mixed-frequency vector autoregressive (MF-VAR) model, this article attempts to determine whether or not the relationship between tourism and economic growth changes in the presence or absence of economic policy uncertainty (EPU) shock. Moreover, we further our analysis by focusing on whether or not there is a significant difference in the distinct impact intensity of Hong Kong, Chinese, and global EPU. The study period spans April 1998 to March 2018. The results indicate the following. First, the existence of Hong Kong, Chinese, and global EPU does not affect the direction of the impulse response; rather, its primary influence is on the size of the impact. Second, the different ranges of EPU have different impact intensities. Third, compared to the MF-VAR model, the quarterly frequency vector autoregressive model does not fully capture the impact of EPU, especially the negative impact of global EPU on tourism. Therefore, policymakers and tourism stakeholders should develop targeted marketing plans to maintain expected tourism demand if economic uncertainty increases.

With the development of economy, modern museums are facing competition from many different leisure activities and entertainment venues. For sustainable operation, museums, which are nonprofit organizations, also must think about how to provide quality service and satisfy visitors. However, there is relatively little research on how the museum can develop a positive space dialogue through environmental space as well as develop new forms of environmental space to improve visitors' satisfaction. This research takes Xiemen Museum, which is now developing a new environmental space design, as a study case. On the basis of the relevant theory of environmental space design, it analyses the latest customer satisfaction research in museums both at home and abroad, and divides the literature about customer satisfaction according to four aspects: 1) directly embody the features of environmental space, the service nature of environmental space; 2) interactivity between environmental space and customers; 3) indirectly embody customer satisfaction in environmental space of the museums and influencing factors; and 4) understanding the process and connotation of the environmental space design of the museum in an attempt to construct a value-creation structure for customer satisfaction. Finally, this research develops strategies for improving customer satisfaction as a reference for museum management.