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Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain

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  • Bakhat, Mohcine
  • Rosselló, Jaume

Abstract

Tourism has started to be acknowledged as a significant contributor to the increase in environmental externalities, especially to climate change. Various studies have started to estimate and compute the role of the different tourism sectors' contributions to greenhouse gas (GHG) emissions. These estimations have been made from a sectoral perspective, assessing the contribution of air transport, the accommodation sector, or other tourism-related economic sectors. However, in order to evaluate the impact of this sector on energy use the approaches used in the literature consider tourism in its disaggregated way. This paper assesses the electricity demand pattern and investigates the aggregated contribution of tourism to electricity consumption using the case study of the Balearic Islands (Spain). Using a conventional daily electricity demand model, including data for daily stocks of tourists the impact of the different population growth rate scenarios on electricity loads is also investigated. The results show that, in terms of electricity consumption, tourism cannot be considered a very energy-intensive sector.

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  • Bakhat, Mohcine & Rosselló, Jaume, 2011. "Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain," Energy Economics, Elsevier, vol. 33(3), pages 437-444, May.
    • Handle: RePEc:eee:eneeco:v:33:y:2011:i:3:p:437-444
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    2. A. Azadeh & M. Saberi & A. Gitiforouz, 2013. "An integrated fuzzy mathematical model and principal component analysis algorithm for forecasting uncertain trends of electricity consumption," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2163-2176, June.
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    4. Chengcai Tang & Linsheng Zhong & Wenjing Fan & Shengkui Cheng, 2015. "Energy consumption and carbon emission for tourism transport in World Heritage Sites: a case of the Wulingyuan area in China," Natural Resources Forum, Blackwell Publishing, vol. 39(2), pages 134-150, May.
    5. Saenz-de-Miera, Oscar & Rosselló, Jaume, 2014. "Modeling tourism impacts on air pollution: The case study of PM10 in Mallorca," Tourism Management, Elsevier, vol. 40(C), pages 273-281.
    6. Bakhat, Mohcine & Rosselló, Jaume, 2013. "Evaluating a seasonal fuel tax in a mass tourism destination: A case study for the Balearic Islands," Energy Economics, Elsevier, vol. 38(C), pages 12-18.
    7. Bingchun Liu & Chuanchuan Fu & Arlene Bielefield & Yan Quan Liu, 2017. "Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network," Energies, MDPI, vol. 10(10), pages 1-15, September.
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    9. Oscar Trull & Angel Peiró-Signes & J. Carlos García-Díaz, 2019. "Electricity Forecasting Improvement in a Destination Using Tourism Indicators," Sustainability, MDPI, vol. 11(13), pages 1-16, July.
    10. Kai Wang & Chang Gan & Yan Ou & Haolong Liu, 2019. "Low-Carbon Behaviour Performance of Scenic Spots in a World Heritage Site," Sustainability, MDPI, vol. 11(13), pages 1-23, July.
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