Territory Resources and Tourism Geography

Spatio-temporal evolution and multi-scale barrier factor analysis of tourism ecological resilience in the Yellow River Basin

  • NIE Hanyu ,
  • ZHANG Yanhui ,
  • LI Hui ,
  • ZHENG Yaomin
Expand
  • 1. School of Management, Yantai Institute of Science and Technology, Yantai 264000, Shandong, China
    2. School of Business, Beijing Technology and Business University, Beijing 100000, China
    3. School of Management, Tianjin University of Technology, Tianjin 300384, China
    4. School of Business, Beijing Technology and Business University, Beijing 100000, China

Received date: 2024-08-21

  Revised date: 2024-10-07

  Online published: 2025-06-18

Abstract

Tourism ecological resilience serves as a critical indicator for assessing sustainable development capacity in tourism destinations. This study analyzes the spatiotemporal evolution characteristics of tourism ecological resilience across nine provinces in the Yellow River Basin using panel data from 2000 to 2022. We employed the entropy weight TOPSIS method, Markov chain analysis, and spatial autocorrelation models to evaluate resilience patterns while identifying key obstacles through a barrier degree model. Our analysis revealed three principal findings: (1) Temporal evolution: Tourism ecological resilience in the Yellow River Basin maintained a consistently low level throughout the study period (2000—2022), characterized by a volatile downward trend. (2) Spatial distribution: A hierarchical spatial structure emerged, with resilience gradually declining from downstream to upstream regions. A significant positive spatial correlation exists between provincial resilience levels, with enhanced spatial agglomeration effects manifested primarily as “high-high” and “low-low” agglomeration patterns. (3) Obstacle factors: The most significant barriers to improved resilience were identified at two levels: Criterion layer, recovery adaptability and adaptability and innovation/evolution capabilities; and indicator layer, tourism factor aggregation level, total water resources, tourism R&D funding, and the number of tourism invention patent authorizations.

Cite this article

NIE Hanyu , ZHANG Yanhui , LI Hui , ZHENG Yaomin . Spatio-temporal evolution and multi-scale barrier factor analysis of tourism ecological resilience in the Yellow River Basin[J]. Arid Land Geography, 2025 , 48(6) : 1089 -1102 . DOI: 10.12118/j.issn.1000-6060.2024.504

References

[1] 王兆峰, 刘庆芳. 中国省域旅游效率空间网络结构演化及其影响因素[J]. 地理科学, 2021, 41(3): 397-406.
  [Wang Zhaofeng, Liu Qingfang. The evolution and influencing factors of spatial network structure of China’s provincial tourism efficiency[J]. Scientia Geographica Sinica, 2021, 41(3): 397-406. ]
[2] 王松茂, 牛金兰. 山东省旅游经济与城市生态韧性协同演化研究[J]. 地理学报, 2023, 78(10): 2591-2608.
  [Wang Songmao, Niu Jinlan. Co-evolution of tourism economy and urban ecological resilience in Shandong Province[J]. Acta Geographica Sinica, 2023, 78(10): 2591-2608. ]
[3] Holling C S. Resilience and stability of ecological systems[J]. Annual Review of Ecology & Systematics, 1973, 4(1): 1-23.
[4] Li Y, Shi Y, Qureshi S, et al. Applying the concept of spatial resilience to socio-ecological systems in the urban wetland interface[J]. Ecological Indicators, 2014, 42(1): 135-146.
[5] Ma L, Tao T, Li Z, et al. Study on spatial divergence of rural resilience and optimal governance paths in oasis: The case of Yongchang County in the Hexi Corridor of China[J]. Environment, Development and Sustainability, 2024, 26(2): 4603-4627.
[6] Yuan Y, Bai Z, Zhang J, et al. Increasing urban ecological resilience based on ecological security pattern: A case study in a resource-based city[J]. Ecological Engineering, 2022, 175(5): 1064-1086.
[7] 杨秀平, 贾云婷, 翁钢民, 等. 城市旅游环境系统韧性的系统动力学研究——以兰州市为例[J]. 旅游科学, 2020, 34(2): 23-40.
  [Yang Xiuping, Jia Yunting, Weng Gangmin, et al. A study on system dynamics of the resilience of urban tourism environment system: A case study of Lanzhou City[J]. Tourism Science, 2020, 34(2): 23-40. ]
[8] 李志远, 夏赞才. 长江经济带旅游业高质量发展水平测度及失配度时空格局探究[J]. 南京师大学报(自然科学版), 2021, 44(4): 33-42.
  [Li Zhiyuan, Xia Zancai. Synergy effect and spatial characteristics analysis of tourism ecological resilience and efficiency in the Yangtze River Economic Belt[J]. Journal of Nanjing Normal University (Natural Science Edition), 2021, 44(4): 33-42. ]
[9] Cochrane J. The sphere of tourism resilience[J]. Tourism Recreation Research, 2010, 35(2): 173-185.
[10] 李志远, 冯学钢, 何静, 等. 中国旅游生态韧性空间关联网络结构及其驱动因素[J]. 地理研究, 2024, 43(5): 1146-1165.
  [Li Zhiyuan, Feng Xuegang, He Jing, et al. Spatial correlation network structure and driving factors of tourism ecological resilience in China[J]. Geographical Research, 2024, 43(5): 1146-1165. ]
[11] 张傲翔, 苗成林, 陈峥妍. 黄河流域城市生态韧性、社会网络及其影响因素分析[J/OL]. 干旱区地理. [2025-01-04]. .
  [Zhang Aoxiang, Miao Chenglin, Chen Zhengyan. Urban ecological resilience, social networks and its influencing factors in the Yellow River Basin[J/OL]. Arid Land Geography. [2025-01-04]. http://kns.cnki.net/kcms/detail/65.1103.x.20240524.1707.001.html.]
[12] 郭向阳, 明庆忠, 杨春宇, 等. 喀斯特生态脆弱区旅游生态系统韧性时空变化及多尺度障碍因素——以贵州省为例[J]. 经济地理, 2023, 43(10): 190-200, 230.
  [Guo Xiangyang, Ming Qingzhong, Yang Chunyu, et al. Spatiotemporal evolution of tourism ecosystem resilience in karst ecologically fragile areas and its multi-scale obstacle factors: A case study of Guizhou[J]. Economic Geography, 2023, 43(10): 190-200, 230. ]
[13] 方叶林, 吴燕妮, 王秋月, 等. 基于DPSIR模型的城市旅游经济韧性评价与影响因素——以长三角城市群为例[J]. 南京师大学报(自然科学版), 2024, 47(2): 26-34.
  [Fang Yelin, Wu Yanni, Wang Qiuyue, et al. Evaluation and influencing factors of tourism economic resilience based on DPSIR model: A case study of the Yangtze River Delta urban agglomeration[J]. Journal of Nanjing Normal University (Natural Science Edition), 2024, 47(2): 26-34. ]
[14] 王兆峰, 陈青青. 1998年以来长江经济带旅游生态安全时空格局演化及趋势预测[J]. 生态学报, 2021, 41(1): 320-332.
  [Wang Zhaofeng, Chen Qingqing. Spatio-temporal pattern evolution and trend prediction of tourism ecological security in the Yangtze River Economic Belt since 1998[J]. Acta Ecologica Sinica, 2021, 41(1): 320-332. ]
[15] 任洪杰, 李辉尚. 中国乡村生态韧性时空演变特征及影响因素探究[J]. 干旱区地理, 2024, 47(11): 1915-1923.
  [Ren Hongjie, Li Huishang. Spatial and temporal evolution characteristics and influencing factors of rural ecological resilience in China[J]. Arid Land Geography, 2024, 47(11): 1915-1923. ]
[16] Folke C, Carpenter S R, Walker B, et al. Resilience thinking: Integrating resilience, adaptability and transformability[J]. Ecology and Society, 2010, 15(4): 152-167.
[17] 张明斗, 任衍婷, 周亮. 黄河流域城市生态韧性时空演变特征及影响因素分析[J]. 干旱区地理, 2024, 47(3): 445-454.
  [Zhang Mingdou, Ren Yanting, Zhou Liang. Spatiotemporal evolution characteristics and influencing factors of urban ecological resilience in the Yellow River Basin[J]. Arid Land Geography, 2024, 47(3): 445-454. ]
[18] 方叶林, 王秋月, 黄震方, 等. 中国旅游经济韧性的时空演化及影响机理研究[J]. 地理科学进展, 2023, 42(3): 417-427.
  [Fang Yelin, Wang Qiuyue, Huang Zhenfang, et al. Spatial and temporal evolution of tourism economic resilience and mechanism of impact in China[J]. Progress in Geography, 2023, 42(3): 417-427. ]
[19] Pike A, Dawley S, Tomaney J. Resilience, adaptation and adaptability[J]. Cambridge Journal of Regions, Economy and Society, 2010, 3(1): 59-70.
[20] 牛亚菲, 陈田. 旅游生态环境系统研究——生态旅游研究的基石[J]. 旅游学刊, 2004, 19(4): 5-6.
  [Niu Yafei, Chen Tian. Research on tourism eco-environment system: The cornerstone of ecotourism research[J]. Tourism Tribune, 2004, 19(4): 5-6. ]
[21] 李博, 秦欢, 余建辉, 等. 中国省域旅游资源竞争力评价及其格局演变[J]. 经济地理, 2019, 39(9): 232-240.
  [Li Bo, Qin Huan, Yu Jianhui, et al. Evaluation and pattern evolution of provincial tourism resources competitiveness in China[J]. Economic Geography, 2019, 39(9): 232-240. ]
[22] 王少剑, 高爽, 黄永源, 等. 基于超效率SBM模型的中国城市碳排放绩效时空演变格局及预测[J]. 地理学报, 2020, 75(6): 1316-1330.
  [Wang Shaojian, Gao Shuang, Huang Yongyuan, et al. Spatio-temporal evolution and trend prediction of urban carbon emission performance in China based on super-efficiency SBM model[J]. Acta Geographica Sinica, 2020, 75(6): 1316-1330. ]
[23] 李文龙, 起建凌, 张洪宇, 等. 中国农业高质量发展水平评价、时间演进及空间相关性分析[J]. 云南农业大学学报(社会科学版), 2024, 18(1): 1-8.
  [Li Wenlong, Qi Jianling, Zhang Hongyu, et al. Evaluation of agricultural high-quality development level, regional difference and spatial correlation analysis in China[J]. Journal of Yunnan Agricultural University (Social Science Edition), 2024, 18(1): 1-8. ]
[24] 叶文丽, 杨新军, 吴孔森, 等. 黄土高原社会-生态系统恢复力时空变化特征与影响因素分析[J]. 干旱区地理, 2022, 45(3): 912-924.
  [Ye Wenli, Yang Xinjun, Wu Kongsen, et al. Spatio-temporal characteristics and influencing factors of social-ecological system resilience in the Loess Plateau[J]. Arid Land Geography, 2022, 45(3): 912-924. ]
[25] 王彩丽, 闫绪娴. 成渝城市群城市韧性时空格局演变及障碍因子识别[J]. 重庆大学学报(社会科学版), 2023, 29(3): 21-33.
  [Wang Caili, Yan Xuxian. Spatiotemporal revolution and obstacles identification of urban resilience in Chengdu-Chongqing urban agglomeration[J]. Journal of Chongqing University (Social Science Edition), 2023, 29(3): 21-33. ]
[26] 刘玒玒, 刘书芳. 祁连山地区复合生态系统韧性时空演化及障碍因子识别[J]. 干旱区地理, 2024, 47(2): 237-247.
  [Liu Honghong, Liu Shufang. Spatiotemporal evolution and obstacle identification of complex ecosystem resilience in the Qilian Mountain area[J]. Arid Land Geography, 2024, 47(2): 237-247. ]
[27] 赵明亮, 刘芳毅, 王欢, 等. FDI、 环境规制与黄河流域城市绿色全要素生产率[J]. 经济地理, 2020, 40(4): 38-47.
  [Zhao Mingliang, Liu Fangyi, Wang Huan, et al. Foreign direct investment, environmental regulation and urban green total factor productivity of the Yellow River Basin[J]. Economic Geography, 2020, 40(4): 38-47. ]
[28] 李凯风, 李子豪. 黄河流域绿色全要素生产率测度[J]. 统计与决策, 2022, 38(4): 98-101.
  [Li Kaifeng, Li Zihao. Measurement of green total factor productivity in the Yellow River Basin[J]. Statistics & Decision, 2022, 38(4): 98-101. ]
Outlines

/