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Low-Carbon Behaviour Performance of Scenic Spots in a World Heritage Site

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  • Kai Wang

    (College of Tourism, Hunan Normal University, Changsha 410081, China)

  • Chang Gan

    (College of Tourism, Hunan Normal University, Changsha 410081, China)

  • Yan Ou

    (College of Tourism, Hunan Normal University, Changsha 410081, China)

  • Haolong Liu

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

A low-carbon behaviour performance evaluation index system is designed by using a Delphi method in this study. The analytic hierarchy process (AHP) is applied to systematically measure the low-carbon behaviour performance of 32 scenic spots in Zhangjiajie, a world heritage site. The key driving factors that can significantly influence the low-carbon behaviour performance of the scenic spot are extracted by combining redundancy analysis (RDA). The results show that the scenic spots of Zhangjiajie performance well regarding low-carbon behaviour, however, there are still a great deal of room for improvement and promotion. Pressure from investors, the administration committees, tourists and local governments is the main driving factor for the low-carbon behaviour of scenic spot.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3673-:d:245569
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    2. Lu Zhang & Deqing Ma & Jinsong Hu, 2021. "Research on the Sustainable Operation of Low-Carbon Tourism Supply Chain under Sudden Crisis Prediction," Sustainability, MDPI, vol. 13(15), pages 1-25, July.

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