Climate change perception of the dive tourism industry in Koh Tao island, Thailand

Tapsuwan, Sorada; Rongrongmuang, Wansiri

doi:10.1016/j.jort.2015.06.005

Cited by 33 publications

(20 citation statements)

References 22 publications

(23 reference statements)

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“…While climate change is equally affecting tourism industries in Africa, South America, and large parts of Asia (Scott and Becken 2010), these regional voices are largely missing from scientific literature. Despite the lately emerging studies in Global South (e.g., low-carbon tourism discussion in China [Huang and Deng 2011; Xiong 2017]), we notice that both tourists (e.g., Dillimono and Dickinson 2015) and tourism operators (e.g., Tapsuwan and Rongrongmuang 2015) from these regions are more likely to misconceive the impact of climate change on tourism, and their adaptive capacity and mitigation practices are more limited (Hoogendoorn and Fitchett 2018).…”

Section: Introductionmentioning

confidence: 70%

Climate Change and Tourism in English-Language Newspaper Publications

Kirilenko

2019

Journal of Travel Research

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Tourism is one of the sectors of the economy that is most dependent on climate, creating multiple vulnerabilities and new opportunities arising with changing climate. Even though the links between tourism and climate have been well researched, this scientific knowledge has not percolated into policies and the ability to act. This disconnect between scientific knowledge and practices is frequently blamed on inadequate climate change communication to the public in mass media. We studied the mass media framing of climate change and tourism by analyzing English newspaper publications worldwide over the past 30 years. The paper presents a Big Data analysis of the content, geographical patterns, and temporal changes in newspapers’ publications on climate change and tourism.

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Section: Introductionmentioning

confidence: 70%

Climate Change and Tourism in English-Language Newspaper Publications

Kirilenko

2019

Journal of Travel Research

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“…PMT is based on individuals' coping with threats generated by a motivation to protect themselves from perceived health threats [31][32][33]. This theory is widely used in tourism literature [33][34][35][36][37][38][39][40] and comprises, in essence, threat/risk assessment-nature, relevance, and consequences that may derive from it [32,35,[41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Effects of the COVID-19 Pandemic on Tourist Risk Perceptions—The Case Study of Porto

et al. 2021

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The COVID-19 pandemic outbreak (in early 2020) has dictated significant changes in society and territories by anticipating trends, changing priorities, and creating challenges, which are manifested in the territories. These are influenced by the levels of economic, cultural, and social restructuring, in the measures implemented by public administration or in attempts to redefine strategies for tourism destinations. This paper examines the perceptions and behaviors of tourists before and during COVID-19 in the municipality of Porto, the main area of the Porto Metropolitan Area, in Portugal. Research was based on the application of a questionnaire survey, probing the sensitivity of tourists to the crisis in the decision-making of daily routines, as well as future travel plans in the presence of a serious health concern. A total of 417 surveys were collected in the summers of 2019 and 2020. In addition to descriptive statistics, this paper also includes the results of the analysis of explanatory factors, being a reference for future studies. There were significant changes in the use of public space and the way tourist visits are handled, namely: (i) the concentration of visiting time (shorter visit than usual in certain tourist profiles); (ii) spatially limited visiting areas; and (iii) the ability to attract standard tourists from certain countries where tighter lockdown rules were imposed. Main implications of this study are reflected in the challenges that are imposed on the local agenda, where traditional problems are added to the responsibilities in crisis management and the ability to establish a third order of intervention in tourism.

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“…The social effect of tourism is analyzed through the relationship between tourism and health expenditures (Harrick, 2007;Smith and Forgione, 2007). Finally, the environmental requirements and climate changes are analyzed in several studies Kuo and Chen, 2009;Lin, 2010;Mayor and Tol, 2010;Berrittella et al, 2006;Köberl et al, 2015;Cai et al, 2011;Amelung and Moreno, 2012;Tapsuwan and Rongrongmuang, 2015).…”

Section: Introductionmentioning

confidence: 99%

Tourism demand, oil price fluctuation, exchange rate and economic growth: Evidence from ARDL model and Rolling window Granger causality for Tunisia

Dhaoui¹,

Sekrafi²,

Ghandri³

2017

JECOSS

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The paper examines the relationship between tourism demand and its macroeconomic determinants (GDP, oil price, exchange rate) with an aim to test the dynamic interdependence between them in the case of Tunisia. Using yearly data from 1971 to 2014, the output of the ARDL model and the more recent Bootstrap rolling window Granger causality tests show important results with great economic implications for researchers, regulators, investors, … The results substantiate, especially, the following causal relationships, i.e. i) tourism-demand induces substantial increase in both economic growth and oil price, ii) economic growth led tourism demand, iii) increase in oil price affects negatively the tourism demand, iv) tourism demand and exchange rate are not significantly associated.

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Climate change perception of the dive tourism industry in Koh Tao island, Thailand

Cited by 33 publications

References 22 publications

Climate Change and Tourism in English-Language Newspaper Publications

Climate Change and Tourism in English-Language Newspaper Publications

Effects of the COVID-19 Pandemic on Tourist Risk Perceptions—The Case Study of Porto

Tourism demand, oil price fluctuation, exchange rate and economic growth: Evidence from ARDL model and Rolling window Granger causality for Tunisia

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