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Spatio-temporal Evolution and Influence Paths of Tourism Ecological Security Based on DPSIR-SBM Framework: A Case Study of Yunnan Province.

Authors :
LU Baoyi
MING Qingzhong
SHI Pengfei
LIU Anle
GUO Xiangyan
Source :
Geography & Geographic Information Science; 2023, Vol. 39 Issue 6, p134-142, 9p
Publication Year :
2023

Abstract

Tourism ecological security is of great significance for promoting the sustainable development of regional tourism. This paper selects evaluation indices based on the inter-temporal DPSIR-SBM theoretical framework, uses the Super-SBM model considering unexpected output to explore the spatio-temporal evolution characteristics of the tourism ecological security system in Yunnan Province from 2007 to 2019, and analyzes the complex interaction path of key influencing factors with the help of fuzzy-set qualitative comparative analysis (fsQCA). It is found as follows. 1 In terms of temporal change characteristics, the level of tourism ecological security shows a development trend of rising volatility, the development gap between cities is gradually narrowing, and the Matthew effect of polarized development has weakened. 2 In terms of spatial evolution characteristics, the leaping trend of tourism ecological security level of each prefecture-level city is obvious, which promotes the evolution of tourism ecological security level from polarization layout to balanced layout, and the overall spatial pattern at the end of the study period is "core-edge" structure. 2 In terms of influence paths, the reasons affecting the level of tourism ecological security have the feature of asymmetry and multiple concurrency, and thus form multiple equivalent paths. The influence paths to achieve a high level of tourism ecological security include multi-element aggregation paths and government investment compensation paths, while the influence paths that lead to non-high tourism ecological security levels include weak industrial foundation paths and core element-inhibiting paths. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
16720504
Volume :
39
Issue :
6
Database :
Complementary Index
Journal :
Geography & Geographic Information Science
Publication Type :
Academic Journal
Accession number :
174386439
Full Text :
https://doi.org/10.3969/j.issn.1672-0504.2023.06.017