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

Kai Wang, Chang Gan, Yan Ou and Haolong Liu ()
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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

Sustainability, 2019, vol. 11, issue 13, 1-23

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.

Keywords: low-carbon tourism; low-carbon behaviour performance; world heritage site; Zhangjiajie (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2019
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