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Tourism carbon footprint and tourism carbon capacity based on three-dimensional tourism carbon footprint model: a case study of Gansu Province, China

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  • Zhuoma Gangji
  • Hua Liu
  • Chunya Liu
  • Yumei Wei

Abstract

The carbon footprint (CF) in the tourism sector constitutes a crucial quantitative yardstick. This paper develops a three-dimensional tourism CF model and analyzes Gansu Province’s data from 2000 to 2020. The tourism CF increased from 5.82 million tons in 2000 to a peak 20 times higher in 2019, then dropped to 65.04 million tons in 2020 due to COVID-19. The tourism carbon capacity fluctuated and increased from 2.33 to 4.12 million tons. All TCF3D values exceeded 1, showing a continuous deficit. After predicting and fitting relevant data with the ARIMA model, suggestions for low-carbon tourism are put forward.

Suggested Citation

  • Zhuoma Gangji & Hua Liu & Chunya Liu & Yumei Wei, 2025. "Tourism carbon footprint and tourism carbon capacity based on three-dimensional tourism carbon footprint model: a case study of Gansu Province, China," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 1329-1342.
    • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:1329-1342.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctaf079
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