Measurement of Tourism Ecological Efficiency and Analysis of Influencing Factors under the Background of Climate Change: A Case Study of Three Provinces in China's Cryosphere
Wu, Yubin1; He, Feiyang1; Sun, Zhujun1; Wang, Yongyu2
2024-07
发表期刊SUSTAINABILITY
卷号16期号:14
摘要Against the backdrop of climate change and the dual carbon goals, enhancing the ecological efficiency of cryospheric tourism is crucial not only for the high-quality development of the tourism industry itself but also for the protection of the ecological environment and the promotion of green sustainable development in the cryospheric region. In light of this, this study, taking climate change as its background and based on the perspective of carbon emission constraints, integrates multidimensional factors such as climate change, carbon emission constraints, and cryospheric resources into a unified measurement framework to construct a model for evaluating the ecological efficiency of tourism in the cryosphere. Specifically, the model considers inputs, expected outputs, and unexpected outputs. Subsequently, employing the super-efficiency slack-based measure (SBM) model, this study measures the tourism ecological efficiency (TEE) of three provinces (Xinjiang, Qinghai, Tibet) in the cryosphere from 2013 to 2021 and utilizes the Malmquist-Luenberger index and gray correlation model to reveal their dynamic changes, efficiency decomposition, and influencing factors. The results indicate that: (1) The overall mean of TEE in the cryosphere is between 0.2428 and 1.2142, Over the study period, the average annual growth rate and corresponding confidence interval were 14.74%, (-8.61%, 64.23%), showing a significant fluctuating growth trend. Among them, Xinjiang stands out, with its mean scores ranging from 0.2418 to 1.6229, surpassing the overall average level of the cryosphere. (2) During the study period, the overall dynamic efficiency of tourism ecology in the cryosphere increased by 21.54%, driven by the synergy of technological progress (TC), pure technical efficiency (PET), and scale efficiency (SE). For each province, the dynamic efficiency of tourism ecology has improved, but to varying degrees. (3) Regarding the driving factors of TEE in the cryosphere, each driving factor is closely related to TEE, ranked from large to small as follows: carbon emission structure, level of economic development, infrastructure, intensity of technological input, industrial structure, resource endowment, and environmental regulation. This article holds theoretical and practical significance for promoting the high-quality development of polar tourism and achieving synergistic progress between the economy and environment.
关键词cryosphere tourism ecological efficiency super-efficiency slack-based measure model Malmquist-Luenberger index gray correlation model
DOI10.3390/su16146085
收录类别SCIE ; SSCI
语种英语
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号WOS:001277073200001
出版者MDPI
原始文献类型Article
EISSN2071-1050
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/37603
专题统计与数据科学学院
会计学院
通讯作者Wang, Yongyu
作者单位1.Lanzhou Univ Finance & Econ, Sch Accounting, Lanzhou 730020, Peoples R China;
2.Lanzhou Univ Finance & Econ, Sch Stat & Data Sci, Lanzhou 730020, Peoples R China
第一作者单位兰州财经大学
通讯作者单位兰州财经大学
推荐引用方式
GB/T 7714
Wu, Yubin,He, Feiyang,Sun, Zhujun,et al. Measurement of Tourism Ecological Efficiency and Analysis of Influencing Factors under the Background of Climate Change: A Case Study of Three Provinces in China's Cryosphere[J]. SUSTAINABILITY,2024,16(14).
APA Wu, Yubin,He, Feiyang,Sun, Zhujun,&Wang, Yongyu.(2024).Measurement of Tourism Ecological Efficiency and Analysis of Influencing Factors under the Background of Climate Change: A Case Study of Three Provinces in China's Cryosphere.SUSTAINABILITY,16(14).
MLA Wu, Yubin,et al."Measurement of Tourism Ecological Efficiency and Analysis of Influencing Factors under the Background of Climate Change: A Case Study of Three Provinces in China's Cryosphere".SUSTAINABILITY 16.14(2024).
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