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Dynamic linkages between tourism, transportation, growth and carbon emission in the USA: evidence from partial and multiple wavelet coherence

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  • Mishra, Shekhar
  • Sinha, Avik
  • Sharif, Arshian
  • Mohd Suki, Norazah

Abstract

The present paper endeavors to analyze and provide fresh insights from the dynamic association between tourism, transportation, economic growth and carbon emission in the United States. The analysis employs a novel Morlet’s Wavelet Approach. Precisely, the paper implements Partial and Multiple Wavelet Coherence techniques to the monthly data spanning from 2001-2017. From the frequency domain point of view, the study discovers remarkable wavelet coherence and robust lead and lag linkages. The analysis discovers significant progress in variables over frequency and time. The variables display strong but inconsistent associations between them. There exist a strong co-movement among the variables considered, which is not equal across the time scales. The study may help the policymakers and regulars to devise strategies and formulate policies pertaining to tourism development, which can contribute towards environmentally sustainable economic growth.

Suggested Citation

  • Mishra, Shekhar & Sinha, Avik & Sharif, Arshian & Mohd Suki, Norazah, 2020. "Dynamic linkages between tourism, transportation, growth and carbon emission in the USA: evidence from partial and multiple wavelet coherence," MPRA Paper 99984, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:99984
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    More about this item

    Keywords

    Tourism; Transportation; CO2 Emissions; Partial Wavelet Coherence; Multiple Wavelet Coherence;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    NEP fields

    This paper has been announced in the following NEP Reports:

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