The power of social media influencers (SMIs) as effective endorsers for destinations and tourism products have been widely acknowledged. Despite being characterised as content generators by prior research, little has been done to examine how consumers perceive content produced by SMI, a key component of destination marketing campaigns. Moreover, parasocial relationship between SMI and the follower has been proven to enhance the persuasive impact of SMIs. Hence, this study aims to shed light on how consumers would assess the SMI and the content the SMI produced, as well as the effect of parasocial relationship on processing SMI destination marketing campaigns. Findings (N = 501) have highlighted that argument quality of SMI content has a stronger direct impact on campaign attitude, destination image and travel intention, as compared to source credibility. With the application of the Elaboration Likelihood Model (ELM) as a framework, this study illuminates consumers’ interaction with the SMI destination marketing campaign and extends prior studies in understanding the importance of SMI content and parasocial relationship as a significant tool for future destination marketing.
The extant studies have attested to the effects of media experiences in shaping destination image and influencing the behavioral intentions of potential tourists. However, limited works have focused on the impact of holistic experiences during the interaction with destination-related short-form videos on potential tourists’ negative emotional responses and post-COVID travel intention. This study aims to elucidate how cognitive absorption affects tourists’ travel anxiety and post-pandemic travel intention in different travel settings (domestic versus international). The comparative results show that users’ cognitive absorption when interacting with destination-related short-form videos can effectively influence the behavioral intentions of potential tourists. The result also identified that travel anxiety significantly contributes to higher post-COVID travel intention. This study expands cognitive absorption research in the contexts of tourism and short-form videos, offers an angle for future studies to positively interpret tourists’ travel anxiety, and provides tourism practitioners with suggestions on the tourism industry's recovery in the post-COVID era.
Objective : We examined the physiological, household, and spatial agglomeration characteristics of the health poverty population in China. We identified weak links that affect the implementation of the medical insurance and further improve its effectiveness for health poverty alleviation. Methods: A national representative sample from the 2015 China Health and Pension Tracking Survey (CHARLS) was analyzed. The WHO recommended method was adopted to calculate catastrophic health expenditure (CHE) and impoverishment by medical expenses (IME). We created a binary indicator for IME as the outcome variable and applied the treatment-effect model to analyze the determinants of IME. Results : The rate of IME was 7.2% of the overall population, compared to 20.3% of the sample households trapped in CHE. The rate of IME enrolled in insurance schemes was 7.4% higher than that of uninsured families (4.8%). Economic level, living area, family size, age of household head, having hospitalized members, and participating in insurance were statistically significant for the rate of IME. Conclusion : The original poverty -promoting policies has not reached the maximum point of convergence with China’s current demand for health. The overlapped health vulnerabilities exacerbated the risk of poverty among the elderly and households with high health needs and utilization. In addition, the medical insurance schemes have proven to be insufficient for protection against economic burden of poor households. So, special health needs, age, and household capacity to pay should be comprehensively considered while strengthening the connection between the disease insurance scheme with supplementary insurance. Keywords: medical insurance, poverty alleviation, healthy poverty, catastrophic health expenditure, impoverishment by medical expenses.
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