IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i17p10944-d904660.html
   My bibliography  Save this article

Assessing the Impact of Air Pollution on Inbound Tourism along the Yangtze River across Space and Time

Author

Listed:
  • Xiang Zhang

    (Wuhan Branch of China Institute of Tourism, Central China Normal University, Wuhan 430079, China
    Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Chenjiao Ma

    (Wuhan Branch of China Institute of Tourism, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Xingming Li

    (Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Lina Xiong

    (Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA)

  • Silin Nie

    (Wuhan Branch of China Institute of Tourism, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

Abstract

The prevalent air pollution along the Yangtze River Economic Belt (YREB) possesses a significant threat to the natural environment, which further affects nearby tourism destination development. The paper seeks to assess the impact of air pollution on tourism in this region through a 2002–2012 panel data of 31 prefecture-level cities, along with geographic information system (GIS) and cluster analyses. The results reveal that air pollution is negatively associated with the number of inbound tourists along the YREB. In general, when air pollution intensifies by 1%, the number of inbound tourists decreases by 1.171%. This impact is more evident when air pollution is more severe, in the long term, and in areas that are larger, more central, and with more tourism resources. The paper contributes to the literature by addressing common limitations in previous studies and providing a more comprehensive evaluation of air pollution’s impact on inbound tourism in the YREB. Practical implications regarding public policies and development directions based on air pollution periods, regions, and tourism resource allocations are provided.

Suggested Citation

  • Xiang Zhang & Chenjiao Ma & Xingming Li & Lina Xiong & Silin Nie, 2022. "Assessing the Impact of Air Pollution on Inbound Tourism along the Yangtze River across Space and Time," IJERPH, MDPI, vol. 19(17), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10944-:d:904660
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/17/10944/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/17/10944/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fei Fan & Shangze Dai & Keke Zhang & Haiqian Ke, 2021. "Innovation agglomeration and urban hierarchy: evidence from Chinese cities," Applied Economics, Taylor & Francis Journals, vol. 53(54), pages 6300-6318, November.
    2. Anaman, Kwabena A. & Looi, Chee N., 2000. "Economic Impact of Haze-Related Air Pollution on the Tourism Industry in Brunei Darussalam," Economic Analysis and Policy, Elsevier, vol. 30(2), pages 133-143, September.
    3. Aiping Zhang & Linsheng Zhong & Yong Xu & Hui Wang & Lijuan Dang, 2015. "Tourists’ Perception of Haze Pollution and the Potential Impacts on Travel: Reshaping the Features of Tourism Seasonality in Beijing, China," Sustainability, MDPI, vol. 7(3), pages 1-18, February.
    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. Suharyono Suharyono & Kumba Digdowiseiso, 2021. "The Effects of Environmental Quality on Indonesia s Inbound Tourism," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 9-14.
    2. Aleksandra Łapko & Aleksander Panasiuk & Roma Strulak-Wójcikiewicz & Marek Landowski, 2020. "The State of Air Pollution as a Factor Determining the Assessment of a City’s Tourist Attractiveness—Based on the Opinions of Polish Respondents," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    3. Daxin Dong & Xiaowei Xu & Yat Fung Wong, 2019. "Estimating the Impact of Air Pollution on Inbound Tourism in China: An Analysis Based on Regression Discontinuity Design," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    4. Daxin Dong & Xiaowei Xu & Hong Yu & Yanfang Zhao, 2019. "The Impact of Air Pollution on Domestic Tourism in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 11(15), pages 1-16, August.
    5. Xiaoying Guo & Wei Wei & Yang Li & Lei-Ya Wang, 2019. "A Study of Different Types of Air Pollutants on the Efficiency of China’s Hotel Industry," IJERPH, MDPI, vol. 16(22), pages 1-13, November.
    6. Wei Zhang & Ziqiang Liu & Yujie Zhang & Elly Yaluk & Li Li, 2021. "The Impact of Air Quality on Inbound Tourist Arrivals over China Based on Grey Relational Analysis," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    7. Xiaowei Xu & Daxin Dong & Yilun Wang & Shiying Wang, 2019. "The Impacts of Different Air Pollutants on Domestic and Inbound Tourism in China," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    8. Magdalena Bogalecka & Aleksandra Grobelna, 2023. "Air Pollution and Its Potential Consequences for Tourism and Career Development from Students’ Perspective: A Case Study of the Gdańsk Agglomeration in Poland," IJERPH, MDPI, vol. 20(3), pages 1-22, February.
    9. Fan, Fei & Dai, Shangze & Yang, Bo & Ke, Haiqian, 2023. "Urban density, directed technological change, and carbon intensity: An empirical study based on Chinese cities," Technology in Society, Elsevier, vol. 72(C).
    10. Yiping Sun & Xiangyi Li & Tengyuan Zhang & Jiawei Fu, 2022. "Does Trade Policy Uncertainty Exacerbate Environmental Pollution?—Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    11. Rafael Morais Pereira & Ana Cláudia Azevedo & Fabio Emanuel Farago & Felipe Mendes Borini, 2024. "Technological intensity and local socio‐economic development," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(2), pages 1043-1057, March.
    12. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    13. Xiaoyang Liu & Weihao Shi & Sen Zhang, 2022. "Progress of Research on Urban Growth Boundary and Its Implications in Chinese Studies Based on Bibliometric Analysis," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    14. Le Zhang & Qinyi Gu & Chen Li & Yi Huang, 2022. "Characteristics and Spatial–Temporal Differences of Urban “Production, Living and Ecological” Environmental Quality in China," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    15. Xu Dong & Yang Chen & Qinqin Zhuang & Yali Yang & Xiaomeng Zhao, 2022. "Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    16. Zhihua Xu & Jingzhu Shan, 2018. "The effect of risk perception on willingness to pay for reductions in the health risks posed by particulate matter 2.5: A case study of Beijing, China," Energy & Environment, , vol. 29(8), pages 1319-1337, December.
    17. Lili Yang & Ning Ma, 2022. "Empirical Study on the Influence of Urban Environmental Industrial Structure Optimization on Ecological Landscape Greening Construction," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    18. Aiping Zhang & Linsheng Zhong & Yong Xu & Hui Wang & Lijuan Dang, 2015. "Tourists’ Perception of Haze Pollution and the Potential Impacts on Travel: Reshaping the Features of Tourism Seasonality in Beijing, China," Sustainability, MDPI, vol. 7(3), pages 1-18, February.
    19. Wei Zhao & Chao Zhu & Yaoyao Zhu, 2022. "The Comparative Advantage of Cities and Innovation Value Chain: Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    20. Guizhi Wang & Yingxi Song & Jibo Chen & Jun Yu, 2016. "Valuation of Haze Management and Prevention Using the Contingent Valuation Method with the Sure Independence Screening Algorithm," Sustainability, MDPI, vol. 8(4), pages 1-11, 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:jijerp:v:19:y:2022:i:17:p:10944-:d:904660. 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.