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

6 Citations (Scopus)
4 Downloads (Pure)

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
Pages (from-to)2930-2949
Number of pages20
JournalCurrent Issues in Tourism
Volume23
Issue number23
Early online date20 Dec 2019
DOIs
Publication statusPublished - Dec 2020

Fingerprint

Dive into the research topics of 'Tourism, environment and energy: an analysis for China'. Together they form a unique fingerprint.

Cite this