Spatiotemporal patterns and driving mechanism of tourism ecological security in Guangxi, China

Frontiers in Ecology and Evolution

Ecology and Evolution

Hongying Liu¹  Yihang Liang²  Chengtao Jiang³  Yiqiao Liang³  Nannan Wei³  Jeffrey Chiwuikem Chiaka⁴ 

[1] College of ASEAN Studies, Guangxi Minzu University, Nanning, China;School of Geography, Nanjing Normal University, Nanjing, China;School of Management, Guangxi Minzu University, Nanning, China;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China;

关键词: tourism ecological security;    DPSIR model;    fuzzy matter-element analysis;    Geodetector;    driving mechanism;    Guangxi province;   

DOI  :  10.3389/fevo.2023.1163498

 received in 2023-02-10, accepted in 2023-04-19,  发布年份 2023

来源: Frontiers

【 摘 要 】

Tourism ecological security (TES) is an important index reflecting the sustainable development of the regional economy. The construction of the China and ASEAN Free Trade Area has increased the total tourist consumption of Guangxi province by 36.48%. Unfortunately, overconsumption of resources, air pollution, disturbance of indigenous life, and other environmental degradation problems emerged due to the significant increase in tourists. Measuring the resilience of the tourism ecosystem is an urgent need to promote the high-quality development of tourism in Guangxi. To explore the dynamic changes in TES and its driving mechanism, the DPSIR (driver–pressure–state–impact–response) model for the tourism ecosystem was developed. The dynamic changes in TES and its driving mechanism from 2010 to 2019 were analyzed using fuzzy matter-element analysis, Markov chains, Geodetector, and other methods. The results show that: (1) the TES value increased steadily by 72.73%; the improvement speed was Northeast > Southwest > Southeast > Northwest; (2) TES was negatively correlated with location, 14 cities developed independently; (3) the TES has a smaller probability to shift the lower level; (4) urbanization, water consumption, green area, tourism revenue, and the number of students in colleges had significant effects on TES. Four policies were proposed to improve TES: (1) developing forest tourism; (2) implementing greening projects in abandoned mining areas; (3) increasing tourism technical personnel; and (4) reducing clearance time for inbound tourists.

【 授权许可】

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Copyright © 2023 Liang, Liu, Chiaka, Jiang, Wei and Liang.