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Tourist arrivals, energy consumption and pollutant emissions in a developing economy–implications for sustainable tourism

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Abstract

Sustainable tourism management policies should aim at maximising economic benefits from tourist arrivals while minimizing associated adverse impacts on the environment. This study assesses the short-run and long-run relationships between tourist arrivals, per capita economic output, emissions, energy consumption and capital formation, citing Nepal as a specific case study. We developed four hypotheses and tested them using time-series econometrics based on the autoregressive distributed lag model and Granger causality tests. The results provide strong evidence of an economy driven tourism sector where expansion in economic output leads to expansion in tourist arrivals. More tourist arrivals, in turn, generate positive impacts on gross capital formation. Energy consumption negatively affects tourist arrivals, calling for increased attention towards improving energy efficiency and energy diversity. We conclude that national policies to increase tourist arrivals should be integrated with national energy and environmental policies in order to facilitate the transition towards a sustainable tourism sector.

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  • Nepal, Rabindra & al Irsyad, M. Indra & Nepal, Sanjay Kumar, 2018. "Tourist arrivals, energy consumption and pollutant emissions in a developing economy–implications for sustainable tourism," Working Papers 2018-10, University of Tasmania, Tasmanian School of Business and Economics.
  • Handle: RePEc:tas:wpaper:28894
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    More about this item

    Keywords

    sustainable tourism; autoregressive distributed lag (ARDL); Granger causality; energy consumption; climate change;
    All these keywords.

    JEL classification:

    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • Z38 - Other Special Topics - - Tourism Economics - - - Policy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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