Spatiotemporal dynamics and multidimensional drivers of tourism development-ecological resilience coupling coordination in Jiangxi Province, China

IF 5.6 Q1 ENVIRONMENTAL SCIENCES
Xingxing Wang , Sunhee Suk , Novelia Triana , Yuting Xue , Xiuben Ma , Fenghua Liu , Liguo Wang , Yiming Liu
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引用次数: 0

Abstract

Leveraging data from 2006 to 2022, this study examines Jiangxi's tourism development (TD) and ecological resilience (ER) coupling coordination (CCD) under China's ecological civilization agenda. Integrating SPA, PVAR, modified CCD, kernel density estimation, and XGBoost - SHAP, it constructs a hybrid framework to analyze spatiotemporal evolution and multi - dimensional drivers, focusing on dynamic interactions and nonlinear mechanisms.
The research reveals the following key findings: (1) Both TD and ER have increased significantly, with marked differences in growth fluctuations across cities; spatially, a pattern of strong north and weak south is observed, along with a core radiation effect. (2) The temporal progression of CCD between TD and ER has shifted from extreme incoordination to moderate coordination. Its spatial distribution is driven by Nanchang as a single core, forming a concentric circular structure with a gradient decrease around the provincial capital. (3) Factors including the proportion of the tertiary industry, municipal public investment, per capita GDP, and vegetation coverage exert significant driving force on coordinated development and exhibit synergistic interaction effects.
The added value of this study lies in revealing the evolutionary laws of the human-land relationship in Jiangxi Province, providing a policy toolkit and differentiated pathways for spatial governance of tourism-ecology systems. It also offers an interdisciplinary toolkit for balancing tourism growth and ER in eco-sensitive regions, providing policy insights for China's ecological civilization pilot zones and beyond.
江西省旅游发展与生态弹性耦合协调的时空动态及多维驱动因素
利用2006 - 2022年的数据,本研究考察了中国生态文明议程下江西旅游发展(TD)与生态恢复力(ER)耦合协调(CCD)。结合SPA、PVAR、改进CCD、核密度估计和XGBoost - SHAP,构建了一个时空演化和多维驱动因素分析的混合框架,重点研究了动态相互作用和非线性机制。研究发现:(1)TD和ER均显著增加,且城市间增长波动差异显著;在空间上,观测到北强南弱的模式,以及核心辐射效应。(2) CCD在TD和ER之间的时间进程从极端不协调转向中度协调。其空间分布以南昌为单核驱动,围绕省会形成梯度递减的同心圆结构。(3)第三产业比重、市政公共投资、人均GDP、植被覆盖度等因素对协调发展具有显著的推动作用,并表现出协同互动效应。研究的附加价值在于揭示江西省人地关系演化规律,为旅游生态系统空间治理提供政策工具和差异化路径。它还为平衡生态敏感地区的旅游增长和ER提供了一个跨学科的工具包,为中国生态文明试验区及其他地区提供了政策见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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