A conceptual network between and among tourist engagement, perceived value, tourist satisfaction, and destination loyalty was constructed and validated based on 401 valid samples collected in Phoenix Ancient Town, a famous destination in western Hunan, China. The research results confirm the logic chain in marketing psychology of “engagement-value-evaluation/behavior” in the context of a tourism destination. Specifically, tourist engagement has direct positive effects on destination loyalty, but not on tourist satisfaction. In addition, tourist engagement exerts indirect positive effects on destination loyalty by producing functional value and emotional value for tourists which, in turn, promotes tourist satisfaction towards a destination. However, the indirect influences of tourist engagement on tourist satisfaction and destination loyalty by way of creating tourists’ social value are not significant. This research validates the role of tourist engagement in the formation of destination loyalty from a tourist value perspective and thereby offers a new theoretical clue for tourism marketing.

The homestay business has contributed to the development of the tourism industry, and it has revitalized tourism resources and boosted the tourism economy. This article takes the Mogan Mountain homestay agglomeration of Yangtze River Delta, the most developed and actively invested in business in the industry, as a research site focus to discuss the recent trends in the Chinese homestay business. Standard deviational ellipse analysis, spatial analysis of nearest-neighbor, and density are empirically tested with the data from the inn/homestay channel of Qunar.com, which is a widely acclaimed website with high page views. Based on the above researches, this paper uses the standard deviation ellipse analysis, the nearest neighbor analysis, and the kernel density estimation analysis method to explore the development characteristics of the Mogan Mountain homestay agglomeration. Combined with the Butler tourist destination life cycle model, it can be concluded that the Mogan Mountain homestay agglomeration area experienced a stage of initial development (2007–2011) and rapid development (2012–2015) and now is in a mature development stage (2016 up to now). This study proposes five actors: physical geographical conditions, traffic location conditions, tourism self-organization mechanism, policy influence, and community residents’ willingness to develop and significantly drive the evolution of Mogan Mountain homestay agglomeration. The formation and evolution of the Mogan Mountain homestay agglomeration are the results of the accumulation of resource-driven effect, scale effect, and differentiation effect at different stages. The unique organization and incentive mechanism promote regional sustainable development.

Natural environment has a positive effect on individual mental health, which can be proved by many studies, both domestic and overseas. At present, some sunrise industries such as forest healthcare and natural tourism are booming in China. However, academically speaking, there’s still a lack of systematic summary of researches on the relationship between natural environment and mental health in China, as well as a lack of comparison with foreign research achievements, which hinders the further development of the field to some extent in China. Therefore, this paper reviews the literature systematically by using the database, China National Knowledge Infrastructure (CNKI), in order to understand the research status in China and find out its gap with foreign studies. The results show that the study in this area in China can be divided into three stages, namely the embryonic stage (prior to 2000), the start-up stage (2001–2008) and the stage of initial development (since 2009); disciplines involved in the study mainly cover forestry, agriculture, psychology, medicine, sports science, tourism, ecology, education and geography. In general, the research in China concentrates on four topics: ecological psychology, the impact of natural ecological environment on mental health, the impact of artificial ecological environment on mental health, as well as the impact of natural tourism on mental health. Based on the findings, a future study framework and some main study lines are suggested: firstly, a systematic study on the relationship between natural environment and mental health in other countries should be conducted; secondly, factors affecting mental health in natural environment should be identified; thirdly, an evaluation system of psychological effect of natural environment should be established; finally, the utilization modes and influencing mechanism of natural environment should be explored.

Environmental regulation promotes industrial structure change and regional economic transformation through land use adjustment, which gets a new way to explore the path of reforming traditional industrialization and urbanization. Based on the panel data of 128 prefecture-level cities in China 's Yangtze River Economic Belt from 2000 to 2020, this paper uses the spatial Dubin model to analyze the impact of environmental regulation and land use efficiency on the upgrading of industrial structure, and sets the panel threshold model to examine the impact of environmental regulation on the upgrading of industrial structure by affecting land use efficiency. The results show that formal environmental regulation has a significant positive spatial effect on the rationalization and upgrading of industrial structure, which are 0.1734 and 0.2854 respectively. Informal environmental regulation has a negative spillover effect on neighboring provinces but not significant. Heterogeneous environmental regulation has obvious “double threshold effect” on industrial upgrading by affecting land use efficiency. When the threshold of environmental regulation intensity is 0.0315–0.0886, environmental regulation still inhibits land use efficiency and industrial structure upgrading. When the threshold value is greater than 0.0886, environmental regulation has a positive impact on land use efficiency but not significant. With the intensity of environmental regulation from weak to strong, it will produce a double threshold effect of “strong inhibition-weak inhibition-interaction promotion” on the upgrading of manufacturing structure through the adjustment of land use efficiency.