This research aims to examine the intricate connection between the preservation of intangible cultural assets and the promotion of city brands, using Jingdezhen, known as the “Porcelain Capital” of China, as a case study. Through an exploratory investigation, the study highlighted two distinct yet significant issues: the recognition of Jingdezhen’s intangible cultural assets, encompassing folklore, rituals, traditional ceramic skills, and artwork, and the economic effects resulting from cultural tourism. The research delineates the obstacles encountered by Jingdezhen in relation to urbanization, industrialization, and globalization subsequent to its establishment as the principal production hub for Chinese blue and white porcelain. Additionally, it highlights the decline of traditional ceramic skills and expertise, as community members who relied on handicrafts for their livelihoods were affected by the closure of companies. Subsequently, it elucidates the potential prospects arising from cultural tourism and the consequential economic influence of this progress on the local economy and the community’s quality of life. The report delineates community engagement initiatives and collaborative partnerships with local enterprises, colleges, government agencies, and Jingdezhen communities to use the city’s abundant cultural legacy. This research provides a comprehensive overview and assessment of the most effective methods, as identified by international studies, for incorporating the safeguarding of intangible cultural assets into sustainable urban development. Concisely, the paper offers guidance to stakeholders, the local administration, and its legislators. The statement emphasizes the necessity of implementing a comprehensive policy framework in Jingdezhen to safeguard its intangible cultural heritage and promote urban development. The objective is to achieve sustainable growth by leveraging the city’s cultural assets. The results serve as a benchmark for other cities and towns to use their cultural legacy in order to establish a sustainable city brand. Additionally, they make a valuable addition to the worldwide discourse on striking a balance between cultural preservation and economic development.

Introduction: With the adoption of the rural rehabilitation strategy in recent years, China’s rural tourist industry has entered a golden age of growth. Due to the lack of management and decision-support systems, many rural tourist attractions in China experience a “tourist overload” problem during minor holidays or Golden Week, an extended vacation of seven or more consecutive days in mainland China formed by transferring holidays during a specific holiday period. This poses a severe challenge to tourist attractions and relevant management departments. Objective: This study aims to summarize the elements influencing passenger flow by examining the features of rural tourist attractions outside China’s largest cities. Additionally, the study will investigate the variations in the flow of tourists. Method: Grey Model (1,1) is a first-order, single-variable differential equation model used for forecasting trends in data with exponential growth or decline, particularly when dealing with small and incomplete datasets. Four prediction algorithms—the conventional GM(1,1) model, residual time series GM(1,1) model, single-element input BP neural network model, and multi-element input BP network model—were used to anticipate and assess the passenger flow of scenic sites. Result: The multi-input BP neural network model and residual time series GM(1,1) model have significantly higher prediction accuracy than the conventional GM(1,1) model and unit-input BP neural network model. A multi-input BP neural network model and the residual time series GM(1,1) model were used in tandem to develop a short-term passenger flow warning model for rural tourism in China’s outskirts. Conclusion: This model can guide tourists to staggered trips and alleviate the problem of uneven allocation of tourism resources.

This study aimed to evaluate the impact of investors on the development of health and hospitality tourism in Kosovo. The study involved 50 investors from various hotel and healthcare companies. The guerrilla method was used for the methodology of this study. In this study, a semi-standardized instrument was used which measures the impact of investors in the development of health and hospitality tourism. The findings of this study have shown that there is a significant correlation between the investments made by investors and the development of health and hospitality tourism in Kosovo. Also, from the findings of the study, we understand that the male gender achieves a higher average of investments than the female gender in health and hotel tourism in Kosovo than the female gender. Finally, the findings of this study and the practical significance of these findings are discussed and recommendations are given regarding the findings of the study.

Desert environments face the challenge of promoting sustainable tourism while balancing economic growth with cultural and environmental preservation. In the context of rapid global tourism expansion, effective destination management becomes crucial for positive economic impact and long-term preservation. This study aims to identify key factors influencing the sustainability of tourism. It explores the interactions between local stakeholders, the supply of tourism products and services, and tourism governance. Utilizing structural equation modeling through the PLS-SEM method, data was collected from 150 stakeholders in desert environments. The findings reveal that the involvement of local tourism stakeholders and the supply of tourism products and services significantly impact sustainable tourism in the desert environment. However, we observe a lack of influence between tourism governance and sustainable desert tourism. The novelty of the study lies in the identification of promotional factors for sustainable desert tourism. The originality of this study lies in its in-depth exploration of the mechanisms for promoting sustainable tourism.