Multilateral political effects on outbound tourism

Zhou, Bo; Zhang, Ying; Zhou, Peng

doi:10.1016/j.annals.2021.103184

Cited by 17 publications

(3 citation statements)

References 80 publications

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“…Our research is conceptually grounded in configurational analysis and complexity theory (Rihoux & Ragin, 2009;Woodside, 2017), which helps model complex phenomena characterized by asymmetric relations (Ragin, 2008). These asymmetries are prominent in the context of the political effects on the tourism industry and the varied responses of tourists to political shocks (Zhou et al, 2021). In the context of simple linearity failing to explain complex interactions adequately, this asymmetry serves as a key mechanism to illustrate the links.…”

Section: A Configurational Perspective On Political Disinformation An...mentioning

confidence: 99%

Disinformation ‘Gatecrashes’ Tourism: An Empirical Study

Vasist¹,

Krishnan²

2023

Preprint

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Disinformation poses a formidable threat to the tourism industry, but empirical studies remain limited. Recognizing this escalating crisis, this study undertakes a theoretically grounded cross-country investigation of political disinformation and its crippling consequences on the travel and tourism sector. While the pre-pandemic analysis from 2018 constituting 160 countries demonstrates the impact of foreign disinformation on the sector’s performance, a supplemental analysis from 2021 comprising 117 countries highlights domestic disinformation emerging as a greater threat over disinformation from foreign operatives. Qualitative insights are presented for specific configurations. The study overcomes theoretical vagueness around disinformation as a phenomenon and provides a robust theoretical foundation anchored on agenda-building and soft power theories for the understanding of disinformation and its impact on tourism performance.

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Section: A Configurational Perspective On Political Disinformation An...mentioning

confidence: 99%

Disinformation ‘Gatecrashes’ Tourism: An Empirical Study

Vasist¹,

Krishnan²

2023

Preprint

View full text Add to dashboard Cite

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“…This issue becomes especially important considering the increasing disparities in regional development caused by war destruction. The development of post-war tourism in Ukraine could be supported, for example, by using the best practices of other postwar territories (Dissanayake & Samarathunga, 2021) as well as the existing experience of multilateral political influence (Zhou et al, 2021).…”

Section: Practical Implicationsmentioning

confidence: 99%

Untitled

2023

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“…With the rapid development of China's social economy and the improvement of people's living standards, tourism has been gradually positioned as a "strategic pillar industry and modern service industry," playing an increasingly important role in regional economic development. However, as a typical sensitive industry, tourism will be greatly impacted by financial crises [13], political conflicts [14], social disturbances [15], public health events [16], and natural disasters [17] in the context of the integration of global trade of services. This is especially true in areas where economic development is highly dependent on tourism; although these areas have gained huge profits through the vigorous development of tourism, the instability of tourism will inevitably bring about regional economic shocks, and regional economic development is generally vulnerable to hidden worries [18].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution and Trend Prediction of Tourism Economic Vulnerability in China’s Major Tourist Cities

Huang

Lin

Chu

et al. 2021

IJGI

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The evaluation and trend prediction of tourism economic vulnerability (TEV) in major tourist cities are necessary for formulating tourism economic strategies scientifically and promoting the sustainable development of regional tourism. In this study, 58 major tourist cities in China were taken as the research object, and an evaluation index system of TEV was constructed from two aspects of sensitivity and adaptive capacity. On the basis of the entropy weight method, TOPSIS model, obstacle diagnosis model, and BP neural network model, this study analyzed the spatiotemporal patterns, obstacle factors, and future trends of TEV in major tourist cities in China from 2004 to 2019. The results show three key findings: (1) In terms of spatiotemporal patterns, the TEV index of most of China’s tourist cities has been on the rise from 2004 to 2019. Cities throughout the coast of China’s Yangtze River Delta and the Pearl River Delta urban agglomeration show high vulnerability, whereas low vulnerability has a scattered distribution in China’s northeast, central, and western regions. (2) The proportion of international tourists out of total tourists, tourism output density, urban industrial sulfur dioxide emissions per unit area, urban industrial smoke and dust emission per unit area, and discharge of urban industrial wastewater per unit area are the five major obstacles affecting the vulnerability degree of the tourism economy. (3) According to the prediction results of TEV from 2021 to 2030, although the TEV of many tourist cities in China is increasing year by year, cities with low TEV levels occupy the dominant position. Research results can provide reference for tourist cities to prevent tourism crises from occurring and to reasonably improve the resilience of the tourism economic system.

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Multilateral political effects on outbound tourism

Cited by 17 publications

References 80 publications

Disinformation ‘Gatecrashes’ Tourism: An Empirical Study

Disinformation ‘Gatecrashes’ Tourism: An Empirical Study

Untitled

Spatiotemporal Evolution and Trend Prediction of Tourism Economic Vulnerability in China’s Major Tourist Cities

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