The tourism industry is seen as having great potential, but tourism development and tourism activities may increase energy consumption and environmental pressure. Based on the provincial panel data of China from 2000 to 2017, we calculate the energy and carbon emission performance by using the non-radial distance function (NDDF) and further investigate the impact of tourism industry agglomeration on energy and carbon emission efficiency by combining the panel fixed effect model, mediation effect model and quantile regression. Our research results show that there is an inverted U-shaped relationship between tourism industry agglomeration and energy and carbon emission efficiency, and tourism industry agglomeration can improve energy and carbon emission efficiency at present. At the same time, the impact of tourism industry agglomeration on energy and carbon emission efficiency has regional heterogeneity. The industrial structure upgrading plays an important role in the process of tourism industry agglomeration. In addition, with the improvement of energy and carbon emission performance, the impact of tourism industry agglomeration is also different. These findings suggest that policymakers should promote tourism industry agglomeration to realize energy conservation and emission reduction. The Chinese government should focus on the tourism resources and advantages of different regions and formulate differentiated regional policies to improve ecological performance.
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http://dx.doi.org/10.1177/00368504221126790 | DOI Listing |
Medicine (Baltimore)
January 2025
Division of Hematology/Oncology, Department of Pediatrics, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.
The increasing popularity of medical tourism has sparked interest from policymakers, researchers, and the media. Factors influencing medical tourism include service quality, availability, economics, and cultural differences. This study aims to analyze the key factors that influence destination selection for medical tourists.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Business, City University of Macau, Macao, China.
Based on the previous studies on the impact of traditional culture on tourists' purchasing intentions, this study aims to further explore the mechanism and boundary conditions regarding the traditional cultural load in tourist souvenir packaging. Through seven simulated experiments (N = 3203), the impact of different degrees of traditional cultural load on tourists' purchasing intentions has been examined, with value perception, cultural identity, and purchase purpose, advancing the research in the field of traditional culture and tourism marketing. The findings provide insights for managers in the industry of tourism and souvenir marketing for their package design.
View Article and Find Full Text PDFPLoS One
January 2025
School of Tourism, Shandong Women's University, Jinan, China.
Based on the analysis of the spatiotemporal evolution characteristics of producer services agglomeration and urban green development efficiency in China, this study measures the influence and spatial spillover effects of producer services agglomeration on urban green development. Research results reveal that the specialization agglomeration level of producer services has undergone a dynamic decline process, demonstrating spatial characteristics where the east exhibits higher levels than the west, and the north surpasses the south. In contrast, the diversification agglomeration level of producer services has demonstrated a consistent upward trajectory, characterized by a spatial distribution that is broadly scattered but concentrated on a smaller scale.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Hospitality & Tourism Management, Kyungsung University, Busan 48434, Republic of Korea.
The increasing adoption of healthcare devices necessitates a deeper understanding of the factors that influence user acceptance in this rapidly evolving area. Therefore, this study examined the factors influencing the technology acceptance of healthcare devices, focusing on radar sensors and wearable devices. A total of 1158 valid responses were used to test hypotheses, mediation, and moderation effects using SmartPLS 4.
View Article and Find Full Text PDFInt J Environ Res Public Health
November 2024
Rosen College of Hospitality Management, University of Central Florida, Orlando, FL 32819, USA.
This study used ANCOVA models to investigate how pandemic characteristics-spreading speed, severity, and vaccination requirements-affect travel intentions. The results reveal that these factors explain 31.7% of the variance in travel decisions, with disease-spreading speed and severity being the most significant determinants.
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