This study investigates the relationship between the disclosure of historical tourism information by local governments and tourism performance in Indonesia. Employing a quantitative research design, data were collected from 152 respondents, including local government officials, tourism stakeholders, and community members, using a purposive sampling method. This approach ensured the inclusion of participants with direct knowledge and involvement in historical tourism activities. Data analysis was conducted using IBM SPSS software, utilizing descriptive statistics, correlation, and multiple regression analysis to examine the relationships between variables. The results indicate that effective disclosure practices positively impact tourism performance, with key factors including the involvement of regional heads, legislative councils, mass media, tourism business actors, investment value, tourism budgets, and grant expenditures. The study highlights the importance of transparency and comprehensive information dissemination in enhancing tourism performance. Future research should explore the role of digitalization and innovative technologies in improving historical tourism disclosure and performance. These findings have significant implications for policymakers and practitioners in the tourism sector, emphasizing the need for robust disclosure practices to foster tourism development and economic growth.

"One Village, One Product" is an effective measure to fully tap local resources, develop rural characteristic industries, innovate economic growth methods, and drive rapid regional economic development. Rural tourism is an important component of industrial revitalization in rural revitalization. Under the "one village, one product" model, the development of rural tourism needs to optimize the industrial structure, explore unique culture, vigorously promote the construction of "beautiful rural characteristic countryside", achieve the transformation and upgrading of traditional rural tourism, and promote the high-quality development of rural characteristic tourism.

This study investigates the potential of developing a maritime tourism project within the blue economy of Pakistan and explores the factors influencing blue growth and maritime tourism. A quantitative research approach has been adopted. The research gathered primary data from diverse experts and stakeholders within the maritime sector and related industries. The study’s target population comprised on various entities involved in these sectors. A sample of around 250 individuals was selected using a convenient sampling technique. The collected data underwent analysis using the Statistical Package for the Social Sciences (SPSS) and the Partial Least Square (PLS) method. This approach was chosen to explore and understand the intricate relationships between variables in the context of the maritime industry. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) techniques were then employed to scrutinize the data further, allowing for a comprehensive examination of the interconnections among the variables identified in the study. This robust methodological approach enhances the study’s credibility and provides valuable insights into the dynamics of the maritime sector and its associated industries. The findings indicate that a balanced approach, valuing business sustainability, top management support, and enabling innovation structures positively impact blue growth. Additionally, uncertainty avoidance and promoting short-term goals have an appositive impact on the blue economy. Moreover, two potential barriers, Functional strategy, and weak competency, do not significantly affect the blue economy. This study lays the foundation for further exploration and implementation of strategies that promote sustainable growth and development in Pakistan’s blue economy. By integrating the insights gained from this study into policy and decision-making processes, stakeholders can work together to create a vibrant and sustainable maritime tourism sector that benefits both local communities and the environment.

Instability is inherent in global capitalism, impacting all countries, particularly those directly reliant on this economic framework. The USA shapes tourism metrics in dependent nations and influences inbound tourism spending. Using logarithmic models and power tests, the study delineated four dynamic fields (Cn) supporting the thesis of the fusion of tourism and temporary residency. This study demonstrates that tourism and migration correlate with political, economic, and social instability, as evidenced by high statistical correlations. Variance increases during instability, leading to more residency petitions per tourist entry. This pattern is repeated during three major crises: the 2008–2009 financial crisis, the 2011–2013 conflicts in the Middle East and Africa, and the 2016–2017 regional political turmoil and Venezuelan migration. Economic classification tests confirm the association between instability, armed conflict, and heightened tourism and residency tendencies. Tourism income rises steadily, and residency averages increase, especially during periods of regional instability. The study highlights the tight link between tourism and migration with political, economic, and social instability. The statistical analysis reveals significant correlations, showing higher residency pressure during unstable periods. The applied tests confirm that countries in turmoil exhibit heightened tourism and migration tendencies.

Studies on the influence of public policies on the regional tourism sector are of high scientific and practical interest, as they offer inputs to guide public management towards strengthening the tourism development of the territories. Through the structural equation model, this study took a sample 99 companies in the tourism sector in Valle del Cauca, Colombia, addressing the relationship between public policy management (PPM) and regional tourism development (RTD), from the perspective of the rational model of business performance. The findings show that the capacity of the state and its entities to comply with the requirements of the organizations, as well as the rigor to take criticism and suggestions for improvement, as a basis to strengthen their management, are the factors that best explain the relationship between the PPM and RTD based on the performance of organizations in the sector, especially focused on increasing market share, productivity, and income. Other findings and practical implications are discussed.

The Huaiyang Canal, a significant section of the Grand Canal, boasts representative tourist attractions. This study analysis of online reviews from Ctrip and Mahive using R language, Gephi, ROST CM, and SPSS has provided insights into tourists’ perceptions of the Huaiyang Canal’s image. Key findings include: (1) Dominant landscape images encompass gardens, canals, and buildings, emphasizing the historical and cultural assets. Both cultural and natural landscapes equally captivate tourists. (2) The canal’s tourism image perception follows a “garden-history-canal” hierarchy with the canal as the central space and history expanding its tourism features. (3) The perceptions can be categorized into historical and cultural landscapes, man-made projects, and attraction perception. Despite varying tourist numbers in Huaian and Yangzhou, scenic spot experiences are similar. The overall perception of tourists is largely positive, but some express concerns about service attitudes and travel time planning.