Exploring the spatial network structure of tourism flow and its influencing factors is of great significance to the transmission of characteristic culture and the sustainable development of tourism in tourist destinations, especially in backward rural areas. Taking Qiandongnan Miao and Dong Autonomous Prefecture (hereinafter referred to as Qiandongnan Prefecture) as an example, this paper adopts social network analysis and Quadratic Assignment Procedure regression analysis to study the network structural characteristics and influencing factors of tourism flow using online travel blog data. The results show that: (1) There are seasonal changes in tourism flow, but the attractions that tourists pay attention to do not change with the seasons. (2) The tightness of the tourism flow network structure is poor. The core nodes are unevenly distributed, and there are obvious structural holes. (3) The density of the tourism flow network is low. There is a clear core–periphery structure in the network, and the core area has a weak driving effect on the periphery area. There are more cohesive subgroups in the network, but the degree of connectedness between the subgroups varies greatly. (4) Geographical adjacency, transportation accessibility, and tourism resource endowment influence tourism flow network structure. The study found that the influencing factors of tourism flow in rural areas are different from those in urban areas. These results provide useful information for the marketing and development of tourism management departments in rural areas.

Studying the relationship between ecological environment and economy (EERE) development in the Yangtze River Economic Belt (YREB) is the realistic requirement to realize the modern economic system in the region, and is of great significance for promoting the high-quality development (H-QD) of China’s economy. In this study, a comprehensive evaluation index system of EERE from the perspective of H-QD was constructed. Besides, the entropy method, the coupling coordination model and the Tobit model were adopted to explore the H-QD, spatial-temporal coupling relationship and influencing factors of EERE of 11 provinces and municipalities in the YREB in the period 2008-2018. The results show that temporally, the coupling coordination degree (CCD) between EERE in the region rises in fluctuations. Spatially, the CCD is high in the lower reaches and low in upper reaches, but the spatial gap gradually narrows with the passage of time. Among the influencing factors, GDP growth rate and other factors have an inhibitory effect on the CCD, while technology market turnover, fiscal expenditure and total import and export volume exert a promoting effect on it. On this basis, some countermeasures and suggestions are put forward to enhance the coordinated development of EERE.