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黄河流域旅游生态安全时空格局及驱动机制研究。

Study on the Spatial-Temporal Pattern and Driving Mechanism of Tourism Eco-Security in the Yellow River Basin.

机构信息

School of Business, Xinyang College, West Section of Xinqi Avenue, Shihe District, Xinyang 464000, China.

College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 17;20(4):3562. doi: 10.3390/ijerph20043562.

DOI:10.3390/ijerph20043562
PMID:36834258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9964773/
Abstract

Tourism eco-security evaluation is an effective tool for facilitating the coordinated and sustainable economic and environmental development of tourist destinations. Based on system theory, this study established a comprehensive evaluation index system for the DPSIR model, applying the entropy-TOPSIS method, spatial autocorrelation, spatial econometric model and geo-detector to investigate the spatial and temporal evolution and drivers of tourism eco-security of the Yellow River basin. The results showed that the tourism eco-security of the Yellow River basin steadily and significantly increased from 2003 to 2020, reaching a peak in 2019, while there was a low level of overall tourism eco-security and improvement possibility. The results show a spatial evolution pattern of expansion from provincial capital cities to nearby prefecture-level cities from the middle and lower reaches to the middle and upper reaches, with significant spatial clustering and spillover effects. Factors affecting the tourism eco-security of the Yellow River basin vary in and between regional basins. Because there are many influencing factors, the key factors were further identified by spatial effect decomposition. The results of this study have important theoretical and practical value in promoting the coordinated and sustainable development of the tourism economy and ecological environment in the Yellow River basin.

摘要

旅游生态安全评价是促进旅游目的地经济与环境协调可持续发展的有效工具。本研究基于系统理论,构建了基于 DPSIR 模型的综合评价指标体系,运用熵权-TOPSIS 法、空间自相关、空间计量模型和地理探测器,探讨了黄河流域旅游生态安全的时空演变及其驱动因素。结果表明,2003-2020 年黄河流域旅游生态安全水平稳步提升且显著,2019 年达到峰值,整体旅游生态安全水平较低且具有较大提升空间。研究结果呈现出省会城市向周边地级市扩展的空间演变格局,从中下游地区向中上游地区扩展,具有显著的空间集聚和溢出效应。黄河流域旅游生态安全的影响因素在区域间和区域内存在差异。由于影响因素较多,通过空间效应分解进一步确定了关键因素。本研究对促进黄河流域旅游经济与生态环境的协调可持续发展具有重要的理论和实践价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/53577977ac3e/ijerph-20-03562-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/59b5517263cd/ijerph-20-03562-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/c5167d8160dd/ijerph-20-03562-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/e80a2bbd7815/ijerph-20-03562-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/4c60d539dca3/ijerph-20-03562-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/c4d983266eb6/ijerph-20-03562-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/53577977ac3e/ijerph-20-03562-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/59b5517263cd/ijerph-20-03562-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/c5167d8160dd/ijerph-20-03562-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/e80a2bbd7815/ijerph-20-03562-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/4c60d539dca3/ijerph-20-03562-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/c4d983266eb6/ijerph-20-03562-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/9964773/53577977ac3e/ijerph-20-03562-g006.jpg

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The criticality of tourism development, economic complexity, and country security on ecological footprint.
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Coupling and Coordinating Relationship between Tourism Economy and Ecological Environment-A Case Study of Nagasaki Prefecture, Japan.旅游经济与生态环境的耦合协调关系——以日本长崎县为例。
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