IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i5p966-d1646531.html
   My bibliography  Save this article

Spatio-Temporal Evolution Characteristics of Tourism Ecological Resilience in China

Author

Listed:
  • Li Jiang

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730030, China
    Tourism College, Qinghai Normal University, Xining 810001, China)

  • Xingpeng Chen

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730030, China)

  • Lili Pu

    (Tourism College, Northwest Normal University, Lanzhou 730070, China)

  • Huaju Xue

    (Tourism College, Qinghai Normal University, Xining 810001, China)

Abstract

Tourism ecological resilience (TER) is an important indicator of the healthy and sustainable development of the tourism industry, which provides a new analytical perspective for the anti-fragility and tourism ecological security of the tourism industry. This study takes 31 provinces in China as the research area, constructs a comprehensive evaluation index system of TER based on the theory of evolutionary resilience, and uses a comprehensive evaluation index, GIS spatial analysis technology, kernel density estimation, Dagum–Gini coefficient, and other research methods to analyze the spatial and temporal evolution of China’s TER from 2010 to 2022 and the spatial distribution pattern of three dimensions of DPC-ARC-OIC. The results show that (1) In the process of time evolution, the ecological resilience of tourism in China continues to increase, and from 2010 to 2022, China’s TER first increased and then decreased, with an average annual growth rate of 1.47%, among which Yunnan and Jiangxi provinces increased significantly. (2) In the process of spatial evolution, there is an obvious spatial gap in tourism ecological resilience. From 2010 to 2022, China’s TER generally presents a pattern of “high in the east and low in the west, high in the south and low in the north”, forming a hierarchical spatial structure with Beijing and Shanghai as the “dual cores”, decreasing to the periphery. (3) There are obvious spatial differences in the three dimensions of DPC, ARC, and OIC. The DPC of the economically developed regions is higher than that of the economically less developed regions; the ARC fluctuates greatly due to the environmental vulnerability and economic level of the western region, and the OIC, as a whole, rises and presents a multi-polar distribution. (4) The overall difference in China’s TER fluctuates and increases, and regional differences have always been dominant, so it is necessary to take systematic measures according to local conditions to help improve the resilience of the tourism ecosystem and the sustainable development of regional tourism. This study can enrich the theoretical research of TER, but it mainly uses provincial macro data for analysis. It still needs to be strengthened to depict regional heterogeneity characteristics to provide Chinese practice for studying TER.

Suggested Citation

  • Li Jiang & Xingpeng Chen & Lili Pu & Huaju Xue, 2025. "Spatio-Temporal Evolution Characteristics of Tourism Ecological Resilience in China," Land, MDPI, vol. 14(5), pages 1-27, April.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:966-:d:1646531
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/5/966/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/5/966/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xu, Da & Shang, Yunfeng & Yang, Qin & Chen, Hui, 2023. "Population aging and eco-tourism efficiency: Ways to promote green recovery," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 1-9.
    2. Gössling, Stefan & Peeters, Paul & Ceron, Jean-Paul & Dubois, Ghislain & Patterson, Trista & Richardson, Robert B., 2005. "The eco-efficiency of tourism," Ecological Economics, Elsevier, vol. 54(4), pages 417-434, September.
    3. Kun Wang & Xiangtai Chen & Zhenxian Lei & Songxin Zhao & Xiao Zhou, 2023. "The Effects of Tourism Development on Eco-Environment Resilience and Its Spatio-Temporal Heterogeneity in the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    4. Kytzia, Susanne & Walz, Ariane & Wegmann, Mattia, 2011. "How can tourism use land more efficiently? A model-based approach to land-use efficiency for tourist destinations," Tourism Management, Elsevier, vol. 32(3), pages 629-640.
    5. Kun Wang & Songxin Zhao & Xiangtai Chen & Zhenxian Lei & Xiao Zhou, 2023. "Spatio-Temporal Evolution and Influencing Factors of the Resilience of Tourism Environmental Systems in the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qi Wang & Qunli Tang & Yingting Guo, 2024. "Spatial Interaction Spillover Effect of Tourism Eco-Efficiency and Economic Development," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
    2. Yiyang Sun & Guolin Hou & Zhenfang Huang & Yi Zhong, 2020. "Spatial-Temporal Differences and Influencing Factors of Tourism Eco-Efficiency in China’s Three Major Urban Agglomerations Based on the Super-EBM Model," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    3. Rui Wang & Bing Xia & Suocheng Dong & Yu Li & Zehong Li & Duoxun Ba & Wenbiao Zhang, 2020. "Research on the Spatial Differentiation and Driving Forces of Eco-Efficiency of Regional Tourism in China," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    4. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.
    5. Yubin Wu & Feiyang He & Zhujun Sun & Yongyu Wang, 2024. "Measurement of Tourism Ecological Efficiency and Analysis of Influencing Factors under the Background of Climate Change: A Case Study of Three Provinces in China’s Cryosphere," Sustainability, MDPI, vol. 16(14), pages 1-24, July.
    6. Wei Zhang & Ying Zhan & Ruiyang Yin & Xunbo Yuan, 2022. "The Tourism Eco-Efficiency Measurement and Its Influencing Factors in the Yellow River Basin," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    7. Fabio Iraldo & Benedetta Nucci, 2016. "Proactive environmental management in hotels: What difference does it make?," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(2), pages 81-106.
    8. Bhawani Ghimire & Umaporn Muneenam & Kuaanan Techato, 2024. "Preference on Renewal Energy by Operators of Tourist Standard Hotels in Kathmandu, Nepal," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 277-286, March.
    9. Tsai, Kang-Ting & Lin, Tzu-Ping & Hwang, Ruey-Lung & Huang, Yu-Jing, 2014. "Carbon dioxide emissions generated by energy consumption of hotels and homestay facilities in Taiwan," Tourism Management, Elsevier, vol. 42(C), pages 13-21.
    10. Phillips, Paul & Moutinho, Luiz, 2014. "Critical review of strategic planning research in hospitality and tourism," Annals of Tourism Research, Elsevier, vol. 48(C), pages 96-120.
    11. Sun, Ya-Yen & Cadarso, Maria Angeles & Driml, Sally, 2020. "Tourism carbon footprint inventories: A review of the environmentally extended input-output approach," Annals of Tourism Research, Elsevier, vol. 82(C).
    12. Gössling, Stefan & Scott, Daniel & Hall, C. Michael, 2015. "Inter-market variability in CO2 emission-intensities in tourism: Implications for destination marketing and carbon management," Tourism Management, Elsevier, vol. 46(C), pages 203-212.
    13. Horng, Jeou-Shyan & Hu, Meng-Lei (Monica) & Teng, Chih-Ching (Chris) & Hsiao, Han-Liang & Liu, Chih-Hsing (Sam), 2013. "Development and validation of the low-carbon literacy scale among practitioners in the Taiwanese tourism industry," Tourism Management, Elsevier, vol. 35(C), pages 255-262.
    14. Becken, S. & Simmons, D., 2008. "Using the concept of yield to assess the sustainability of different tourist types," Ecological Economics, Elsevier, vol. 67(3), pages 420-429, October.
    15. Nakamura, Hiroki & Abe, Naoya, 2016. "Tourist decisions in renting various personal travel modes: A case study in Kitakyushu City, Japan," Tourism Management, Elsevier, vol. 55(C), pages 85-93.
    16. Tingting Li & Hongwei Lu & Qiyou Luo & Guojing Li & Mingjie Gao, 2024. "The Impact of Rural Population Aging on Agricultural Cropping Structure: Evidence from China’s Provinces," Agriculture, MDPI, vol. 14(4), pages 1-19, April.
    17. Puertas, Rosa & Guaita-Martinez, José M. & Carracedo, Patricia & Ribeiro-Soriano, Domingo, 2022. "Analysis of European environmental policies: Improving decision making through eco-efficiency," Technology in Society, Elsevier, vol. 70(C).
    18. Bursa, Bartosz & Mailer, Markus & Axhausen, Kay W., 2022. "Travel behavior on vacation: transport mode choice of tourists at destinations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 234-261.
    19. Gössling, Stefan, 2013. "National emissions from tourism: An overlooked policy challenge?," Energy Policy, Elsevier, vol. 59(C), pages 433-442.
    20. Fengtai Zhang & Xingyu Yang & Jianfeng Wu & Dalai Ma & Yuedong Xiao & Guofang Gong & Junyi Zhang, 2022. "How New Urbanization Affects Tourism Eco-Efficiency in China: An Analysis Considering the Undesired Outputs," Sustainability, MDPI, vol. 14(17), pages 1-23, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:966-:d:1646531. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.