This study probes the influence of community attachment on local entrepreneurs’ perceptions of tourism’s local impacts. Six latent constructs were derived from social exchange theory and community attachment theory; 11 hypotheses were tested, using structural equation modelling, with data from 297 Taiwanese night market entrepreneurs. Significant theoretical contributions to understanding relationships between entrepreneurs and community were found: effects of community satisfaction on support for tourism were significant and fully mediated by perceived benefits. Community factors and tourist contact frequency were important in entrepreneurs’ decisions on further tourism development. Community factors showed low but significant relationships with the perceived costs of tourism, A case is made for sustainable tourism governance measures, including partnership creation, destination management systems, and visitor experience planning.
6 January 2022 in Journal of China Tourism Research
Tourism standards are critical to standardizing the development of the tourism industry. Tourist attractions, being the core of tourism products, have a variety of characteristics and individualities. It is however, difficult to standardize different types of tourist attractions according to the same tourism standards. Such standardization is also incompatible with tourist attractions’ construction according to the national tourism standards from the local perspective. Therefore, it is necessary to identify the universality and particularity of tourism products and their influence on establishing tourism standards. From the perspective of placeness, it is essential to explore how to improve the fairness and universality of national tourism standards. This study takes the Tibet Autonomous Region as a case to reveal the theoretical basis of tourism standards by considering regional development imbalances and diversity of tourism products. The research shows that the core framework and principles should be unified when National Tourism Standards are applied to local practice but attach importance to the weightage of the software facilities scoring and leave space for the finer details. So that tourism standards can be adapted to different regions to develop tourism with local characteristics. This study enriches the theoretical basis study of tourism standards.
As global urbanization and the pervasive influence of digital technology reshape the leisure landscapes of today’s cities, their evolution presents a paradox. Despite offering more choices, these t...
Artificial intelligence technology plays an important role in driving the coordinated development of intelligentization and greenization in China’s manufacturing industry. However, there may be differences in enterprises’ capabilities to advance this coordinated development, and it remains unclear whether promoting such dual transformation is an individual behavior or a collective phenomenon. This paper employs the entropy weight method and the coupling coordination degree model to measure the level of coordinated development between enterprise intelligentization and greenization, and examines the peer effects of dual transformation among enterprises. The findings show that enterprise intelligentization lags behind greenization, with the two aspects being in a state of low-level coupling but steadily improving. Additionally, there are significant peer effects in the coordinated development of enterprise intelligentization and greenization, with their formation mechanisms primarily reflected in intelligentization enabling greenization, intra-industry competition, and the learning effect of followers from leaders. Heterogeneity analysis shows that the peer effects in the coordinated development of intelligentization and greenization are more pronounced among state-owned enterprises and technology-intensive firms. Moreover, enterprises located in the same province, within the same large-scale city, or within the same interlocking directorate network are more likely to exhibit peer effects in dual transformation.