Spatio-temporal pattern and driving factors of tourism ecological security in Fujian Province

被引:9
|
作者
Lin, Yuying [1 ,2 ,3 ]
Zhang, Fazi [1 ]
Cai, Guo [4 ,5 ]
Jin, Yidong [1 ]
Zhang, Lin [1 ]
Ge, Yang [1 ]
机构
[1] Fujian Normal Univ, Sch Culture Tourism & Publ Adm, Fuzhou 350117, Peoples R China
[2] Higher Educ Key Lab Smart Tourism Fujian Prov, Fuzhou 350117, Peoples R China
[3] Fujian Normal Univ, Postdoctoral Res Stn Ecol, Fuzhou 350007, Peoples R China
[4] Fujian Normal Univ, Coll Geog Sci, Fuzhou 350007, Peoples R China
[5] Fujian Normal Univ, Coll Carbon Neutral Future Technol, Fuzhou 350007, Peoples R China
基金
中国国家自然科学基金;
关键词
Tourism ecological security; DPSIR-DEA model; Spatial autocorrelation; Geographically -weighted regression model; EFFICIENCY ANALYSIS; DPSIR FRAMEWORK; CHINA; TIANJIN; REGION; AREAS; MODEL; CITY; ECO;
D O I
10.1016/j.ecolind.2023.111255
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The scientific assessment of tourism ecological security holds significant theoretical and practical importance in promoting the sustainable development of the tourism economy and the ecological environment in the region. This study focuses on 84 counties within Fujian Province as its research scope. By utilizing the DPSIR model and integrating the remote sensing ecological index (RSEI), we have established an evaluation index system for assessing tourism ecological security in the region. The tourism ecological security index was quantitatively determined using the SBM-DEA model. Subsequently, a combination of methods, including spatial autocorrelation, exploratory regression analysis, and the GWR model, was employed to explore the spatial and temporal evolution patterns, as well as driving factors affecting tourism ecological security from 2010 to 2019. The findings reveal the following insights: (1) Overall, the level of tourism ecological security within Fujian Province is low, with a decreasing disparity in the security index across different regions. The tourism ecological security mainly falls within the "unsafe" and "relatively unsafe" categories; however, regions with higher security levels are exhibiting an expanding trend. Moreover, the tourism ecological security of each county is improving, with Southern and Central Fujian outperforming other regions. (2) Notably, there is significant spatial correlation among the tourism ecological security of each county in Fujian Province, indicating pronounced agglomeration characteristics. (3) Key drivers contributing to the spatial-temporal disparities in tourism ecological security encompass tourist-related disturbances, income levels of local farmers and herders, tourism-generated income, and government interventions. Among these factors, higher income levels for farmers and herders, increased tourism income, and proactive government intervention have a positive impact on tourism ecological security, whereas tourist disturbances exert a negative influence. Additionally, the impact of each factor on tourism ecological security displays noticeable spatial heterogeneity.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Assessing spatio-temporal characteristics and their driving factors of ecological vulnerability in the northwestern region of Liaoning Province (China)
    Xie, Wenlan
    Zhao, Xuesheng
    Fan, Deqin
    Zhang, Jinyu
    Wang, Jinghui
    ECOLOGICAL INDICATORS, 2024, 158
  • [2] Spatio-temporal pattern and influencing factors of border tourism efficiency in China
    Zhang, Shengrui
    Chi, Lei
    Zhang, Tongyan
    Ju, Hongrun
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2024, 34 (11) : 2288 - 2312
  • [3] Spatio-temporal pattern and influencing factors of border tourism efficiency in China
    ZHANG Shengrui
    CHI Lei
    ZHANG Tongyan
    JU Hongrun
    Journal of Geographical Sciences, 2024, 34 (11) : 2288 - 2312
  • [4] Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark
    Chen, Mengting
    Zheng, Liang
    Zhang, Dike
    Li, Jiangfeng
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (14)
  • [5] Spatio-temporal Pattern and Driving Forces of Comprehensive Agricultural Productivity in Jilin Province,China
    LIU Yunda
    TONG Lianjun
    Chinese Geographical Science, 2020, 30 (03) : 493 - 504
  • [6] Spatio-temporal Pattern and Driving Forces of Comprehensive Agricultural Productivity in Jilin Province,China
    LIU Yunda
    TONG Lianjun
    Chinese Geographical Science, 2020, (03) : 493 - 504
  • [7] Spatio-temporal Pattern and Driving Forces of Comprehensive Agricultural Productivity in Jilin Province, China
    Yunda Liu
    Lianjun Tong
    Chinese Geographical Science, 2020, 30 : 493 - 504
  • [8] Spatio-temporal Pattern and Driving Forces of Comprehensive Agricultural Productivity in Jilin Province, China
    Liu, Yunda
    Tong, Lianjun
    CHINESE GEOGRAPHICAL SCIENCE, 2020, 30 (03) : 493 - 504
  • [9] Spatio-temporal Sequential Pattern Mining for Tourism Sciences
    Bermingham, Luke
    Lee, Ickjai
    2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2014, 29 : 379 - 389
  • [10] Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS
    Du, Peijun
    Xia, Junshi
    Du, Qian
    Luo, Yan
    Tan, Kun
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (03) : 848 - 863