Tourism, environment and energy: an analysis for China

Arshian Sharif, Shrabani Saha, Neil Campbell*, Avik Sinha, Dalia M. Ibrahiem

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

International tourism as a cause of global warming is a controversial and topical issue. Here, we use the novel Morlet Wavelet time–frequency approach to gain a deeper insight into the dynamic nexus between tourism, renewable energy utilization, energy utilization and carbon dioxide emissions for China using annual data over the era 1974–2016. The techniques we use include Continuous Wavelet power spectrum, the Wavelet Coherency, and the Partial and the Multiple Wavelet Coherence for time–frequency decomposition that can capture local oscillatory components in time series. Our findings support the hypothesis that tourism can cause increased energy utilization and carbon dioxide emissions in China, which challenges the sustainable tourism development goal. However, on the positive side, the relationship between tourism and renewable energy utilization is shown to facilitate reduced environmental degradation in the medium-long run.

Original languageEnglish
Number of pages20
JournalCurrent Issues in Tourism
DOIs
Publication statusE-pub ahead of print - 20 Dec 2019

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wavelet
tourism
Tourism
energy
China
utilization
renewable energy
carbon dioxide
international tourism
tourism development
ecotourism
environmental degradation
cause
global warming
environmental damage
time series
decomposition
energy utilisation
analysis
Wavelets

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Sharif, Arshian ; Saha, Shrabani ; Campbell, Neil ; Sinha, Avik ; Ibrahiem, Dalia M. / Tourism, environment and energy: an analysis for China. In: Current Issues in Tourism. 2019.
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Tourism, environment and energy: an analysis for China. / Sharif, Arshian; Saha, Shrabani; Campbell, Neil; Sinha, Avik; Ibrahiem, Dalia M.

In: Current Issues in Tourism, 20.12.2019.

Research output: Contribution to journalArticleResearchpeer-review

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