IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13680-d1239069.html
   My bibliography  Save this article

Evaluation of Tourism Ecological Security Based on Driving Force–Pressure–State–Influence–Response Framework and Analysis of Its Dynamic Evolution Characteristics and Driving Factors in Chinese Province Territory

Author

Listed:
  • Yingchang Li

    (School of History and Culture, Shanxi University, Taiyuan 030006, China)

  • Zhenzhen Liu

    (College of Urban and Rural Construction, Shanxi Agricultural University, Jinzhong 030801, China)

  • Gaifang Liu

    (School of History and Culture, Shanxi University, Taiyuan 030006, China)

Abstract

Tourism ecological security (TES) is an important measure of the sustainable development of the tourism industry. It is also an important indicator for evaluating the balance between economic growth and the environmental load of tourism destinations. Therefore, the scientific measurement and examination of TES have important theoretical and practical value in promoting the coordinated and sustainable development of the regional tourism economy and ecological environment. From the perspective of systems theory, based on the driving force–pressure–state–influence–response model, the theoretical framework and index system of China’s provincial TES were constructed. The Technique for Order Preference by Similarity to an Ideal Solution method, spatial autocorrelation, traditional and spatial Markov chain, ordinary least squares regression, and geographically and temporally weighted regression model were used to analyze the dynamic evolution characteristics and driving factors of TES. The results indicated the following: (1) Regarding time series, the average value of TES was generally relatively stable with small fluctuations, the differences among provinces exhibited a converging trend, and a significant spatial correlation was observed between the TES of provinces. (2) In terms of dynamic evolution, the transfer of TES types exhibited “path dependence” and “self-locking” effects, meaning the probability of transfer to other types was low, and the status and transfer of TES types were closely related to their neighborhood status. (3) Regarding the driving factors, except for the negative inhibitory effect of environmental pollution on TES, all other variables had a positive promoting effect on TES; however, the effect of each variable in different provinces varied significantly. The results and methods used in this study can enrich the research on TES and provide a theoretical basis and decision-making reference for the healthy and sustainable development of the tourism industry in Chinese provinces.

Suggested Citation

  • Yingchang Li & Zhenzhen Liu & Gaifang Liu, 2023. "Evaluation of Tourism Ecological Security Based on Driving Force–Pressure–State–Influence–Response Framework and Analysis of Its Dynamic Evolution Characteristics and Driving Factors in Chinese Provin," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13680-:d:1239069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13680/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/18/13680/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yanmin Shi & Chaofeng Shao & Zheyu Zhang, 2020. "Efficiency and Driving Factors of Green Development of Tourist Cities Based on Ecological Footprint," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    2. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
    3. Junyuan Zhao & Shengjie Wang & Jiayue Li, 2023. "Study on the Spatial–Temporal Pattern and Driving Mechanism of Tourism Eco-Security in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    4. Ali, Qamar & Yaseen, Muhammad Rizwan & Anwar, Sofia & Makhdum, Muhammad Sohail Amjad & Khan, Muhammad Tariq Iqbal, 2021. "The impact of tourism, renewable energy, and economic growth on ecological footprint and natural resources: A panel data analysis," Resources Policy, Elsevier, vol. 74(C).
    5. Mengting Chen & Liang Zheng & Dike Zhang & Jiangfeng Li, 2022. "Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    6. Song Wang & Caizhi Sun & Xin Li & Wei Zou, 2016. "Sustainable Development in China’s Coastal Area: Based on the Driver-Pressure-State-Welfare-Response Framework and the Data Envelopment Analysis Model," Sustainability, MDPI, vol. 8(9), pages 1-19, September.
    7. Mahsa Fatemi & Kurosh Rezaei-Moghaddam & Ezatollah Karami & Dariush Hayati & Mathis Wackernagel, 2021. "An integrated approach of Ecological Footprint (EF) and Analytical Hierarchy Process (AHP) in human ecology: A base for planning toward sustainability," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-31, April.
    8. Chao Song & Mei-Po Kwan & Jiping Zhu, 2017. "Modeling Fire Occurrence at the City Scale: A Comparison between Geographically Weighted Regression and Global Linear Regression," IJERPH, MDPI, vol. 14(4), pages 1-23, April.
    9. Canmian Liu & Ruyun Zhang & Min Wang & Jing Xu, 2018. "Measurement and Prediction of Regional Tourism Sustainability: An Analysis of the Yangtze River Economic Zone, China," Sustainability, MDPI, vol. 10(5), pages 1-20, April.
    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. Gianfranco DI VAIO & Michele BATTISTI, 2010. "A Spatially-Filtered Mixture of Beta-Convergence Regression for EU Regions, 1980-2002," Regional and Urban Modeling 284100013, EcoMod.
    2. Michael Beenstock & Daniel Felsenstein, 2003. "Decomposing the Dynamics of Regional Earnings Disparities in Israel," ERSA conference papers ersa03p90, European Regional Science Association.
    3. Olajide, Victor, 2015. "An examination of inter-regional spillover effects of macroeconomic policies in Nigeria," MPRA Paper 69242, University Library of Munich, Germany.
    4. Hasan Engin DURAN, 2015. "Non-Linear Regional Income Divergence And Policies: Turkey Case," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 107-114, December.
    5. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    6. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    7. Ferhan Gezýcý, 2004. "New Regional Definition and Spatial Analysis of Regional Inequalities in Turkey. Related to the Regional Policies of EU," ERSA conference papers ersa04p57, European Regional Science Association.
    8. Mariano Bosch Mossi & Patricio Aroca & Ismael J. FernáNDEZ & Carlos Roberto Azzoni, 2003. "Growth Dynamics and Space in Brazil," International Regional Science Review, , vol. 26(3), pages 393-418, July.
    9. Zhao, Xueting & Burnett, J. Wesley & Lacombe, Donald J., 2014. "Province-level Convergence of China CO2 Emission Intensity," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169403, Agricultural and Applied Economics Association.
    10. Jose Villaverde, 2005. "Provincial convergence in Spain: a spatial econometric approach," Applied Economics Letters, Taylor & Francis Journals, vol. 12(11), pages 697-700.
    11. Alberto Díaz Dapena & Esteban Fernández Vázquez & Rafael Garduño Rivera & Fernando Rubiera Morollón, 2015. "Does Trade Imply Convergence? Analyzing The Effect of NAFTA on The Local Convergence in Mexico," Working papers DTE 591, CIDE, División de Economía.
    12. Mary-Françoise RENARD & Nasser ARY TANIMOUNE, 2005. "FDI convergence and Spatial Dependence between Chinese Provinces," Working Papers 200531, CERDI.
    13. Burhan Can Karahasan, 2020. "Can neighbor regions shape club convergence? Spatial Markov chain analysis for Turkey," Letters in Spatial and Resource Sciences, Springer, vol. 13(2), pages 117-131, August.
    14. Tamas Dusek, 2006. "Regional Income Differences in Hungary - A Multi-Level Spatio-Temporal Analysis," ERSA conference papers ersa06p284, European Regional Science Association.
    15. Carlos Díaz-Venegas, 2014. "Identifying the Confounders of Marginalization and Mortality in Mexico, 2003–2007," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 851-875, September.
    16. Breandán Ó'hUallacháin, 2008. "Regional growth transition clubs in the United States," Papers in Regional Science, Wiley Blackwell, vol. 87(1), pages 33-53, March.
    17. Akihiro Otsuka & Mika Goto, 2016. "Total factor productivity and the convergence of disparities in Japanese regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 419-432, March.
    18. Ke Wang & Yongsheng Yang & Genserik Reniers & Quanyi Huang, 2021. "A study into the spatiotemporal distribution of typhoon storm surge disasters in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 1237-1256, August.
    19. Gema Fernández-Avilés Calderón, 2009. "Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(1), pages 44-58, February.
    20. Daniel Albalate & Germà Bel & Ferran A. Mazaira‐Font, 2022. "Geography and regional economic growth: The high cost of deviating from nature," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 360-388, March.

    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:jsusta:v:15:y:2023:i:18:p:13680-:d:1239069. 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.