Tourism, Environment and Energy: An Analysis for China

Arshian Sharif (), Shrabani Saha, Neil Campbell, Avik Sinha and Dalia M. Ibrahiem

MPRA Paper from University Library of Munich, Germany

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 insight into the dynamic nexus between tourism, renewable energy consumption, energy consumption and carbon dioxide emissions for China using annual data over the period 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 consumption 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 consumption is shown to facilitate reduced environmental degradation in the medium-long run.

Keywords: Energy consumption; renewable energy; CO2 emission; tourism; partial and multiple wavelet coherence; country study (search for similar items in EconPapers)
JEL-codes: L8 L83 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-ene, nep-env and nep-tur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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https://mpra.ub.uni-muenchen.de/100143/9/MPRA_paper_100143.pdf revised version (application/pdf)

Related works:
Journal Article: Tourism, environment and energy: an analysis for China (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:99985

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