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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.

Suggested Citation

  • 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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    Cited by:

    1. Sofi, Arfat Ahmad & Bhat, Mohammad Younus & Ahmad, Laraib & Aara, Ruhi Refath & Aswani, RS, 2022. "Renewable energy and transitioning towards sustainable tourism: Inferences from kernel density and nonparametric approach," Renewable Energy, Elsevier, vol. 193(C), pages 963-975.
    2. Yun Tong & Rui Zhang & Biao He, 2022. "The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China’s 92 Tourism-Dependent Cities," IJERPH, MDPI, vol. 19(3), pages 1-21, February.
    3. Fengtai Zhang & Xingyu Yang & Jianfeng Wu & Dalai Ma & Yuedong Xiao & Guofang Gong & Junyi Zhang, 2022. "How New Urbanization Affects Tourism Eco-Efficiency in China: An Analysis Considering the Undesired Outputs," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    4. Sadia Bano & Mehtab Alam & Anwar Khan & Lu Liu, 2021. "The nexus of tourism, renewable energy, income, and environmental quality: an empirical analysis of Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14854-14877, October.
    5. Olugbenga A. Onafowora & Oluwole Owoye, 2020. "Tourism Development and Air Pollution in Caribbean SIDs: A Bootstrap Panel Granger Causality Analysis," Journal of Tourismology, Istanbul University, Faculty of Economics, vol. 6(2), pages 221-239, December.

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    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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