IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11626-d1204286.html
   My bibliography  Save this article

All-for-One Tourism Demonstration Zones and High-Quality Development of Tourism: Evidence from the Quasi-Natural Experiment in China

Author

Listed:
  • Jun Liu

    (School of Business Administration, Shandong University of Finance and Economics, Jinan 250014, China)

  • Ziwei Wang

    (School of Business Administration, Shandong University of Finance and Economics, Jinan 250014, China)

  • Changjin Li

    (School of Business Administration, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

The all-for-one tourism guides the development of the tourism industry in China and promotes coordinated development of the economy and society. Existing studies emphasize the significance of all-for-one tourism but pay limited attention to the impact and mechanism of all-for-one tourism on the high-quality development of tourism. By employing the all-for-one tourism demonstration zones as a quasi-natural experiment, this research uses the time-varying difference-in-differences (DID) model to empirically investigate the relationship between all-for-one tourism demonstration zones and the high-quality development of tourism. In particular, under the guidance of the new development philosophy, this research constructs a measurement and evaluation indicator system for the high-quality development of tourism from five dimensions, including innovative, coordinated, green, open, and shared development. The results show that the all-for-one tourism demonstration zones positively impact the high-quality development of tourism, and the result is robust to a series of robustness checks, including the placebo test and the propensity score matching (PSM) procedures. Network infrastructure construction and tourism talent agglomeration are mechanisms channelling through all-for-one tourism demonstration zones and high-quality tourism development. Heterogeneity analysis reveals positive impacts of all-for-one tourism demonstration zones on central and western regions and provinces with a low proportion of tertiary sector.

Suggested Citation

  • Jun Liu & Ziwei Wang & Changjin Li, 2023. "All-for-One Tourism Demonstration Zones and High-Quality Development of Tourism: Evidence from the Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11626-:d:1204286
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11626/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/15/11626/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Junli Gao & Chaofeng Shao & Sihan Chen, 2022. "Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    2. Min Zhou & Xiaoqun Liu & Bin Pan & Xin Yang & Fenghua Wen & Xiaohua Xia, 2017. "Effect of Tourism Building Investments on Tourist Revenues in China: A Spatial Panel Econometric Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(9), pages 1973-1987, September.
    3. Xiaole Wang & Feng Dong & Yuling Pan & Yajie Liu, 2022. "Transport Infrastructure, High-Quality Development and Industrial Pollution: Fresh Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-24, August.
    4. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    5. Jacint Balaguer & Manuel Cantavella-Jorda, 2002. "Tourism as a long-run economic growth factor: the Spanish case," Applied Economics, Taylor & Francis Journals, vol. 34(7), pages 877-884.
    6. Theodore W. Schultz, 1962. "Reflections on Investment in Man," Journal of Political Economy, University of Chicago Press, vol. 70(5), pages 1-1.
    7. Shuxiao Li & Zhanhong Cheng & Yun Tong & Biao He, 2022. "The Interaction Mechanism of Tourism Carbon Emission Efficiency and Tourism Economy High-Quality Development in the Yellow River Basin," Energies, MDPI, vol. 15(19), pages 1-23, September.
    8. Zhangyu Shi & Dehong Xu & Lidi Xu, 2021. "Spatiotemporal characteristics and impact mechanism of high-quality development of cultural tourism in the Yangtze River Delta urban agglomeration," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-19, June.
    9. Cuccia, Tiziana & Guccio, Calogero & Rizzo, Ilde, 2016. "The effects of UNESCO World Heritage List inscription on tourism destinations performance in Italian regions," Economic Modelling, Elsevier, vol. 53(C), pages 494-508.
    10. Yi Lu, 2022. "The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    11. Kadiyali, Vrinda & Kosová, Renáta, 2013. "Inter-industry employment spillovers from tourism inflows," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 272-281.
    12. Bo Li & Jing Liu & Qian Liu & Muhammad Mohiuddin, 2022. "The Effects of Broadband Infrastructure on Carbon Emission Efficiency of Resource-Based Cities in China: A Quasi-Natural Experiment from the “Broadband China” Pilot Policy," IJERPH, MDPI, vol. 19(11), pages 1-27, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mingge Tian & Hongmei Zhang & Yuangang Zhang & Yingying Li & Gemma Cànoves, 2024. "Analyzing the Progress in Chinese Tourism Research over the Past Decade: A Visual Exploration of Keywords and Delphi Surveys," Sustainability, MDPI, vol. 16(11), pages 1-29, June.

    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. Zi Tang & Xiaopeng Si & Yan Liang, 2024. "Research on the measurement of high-quality development of tourism: a case study of Heilongjiang Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 25027-25047, October.
    2. Guiling Wang & Lei Ye, 2022. "Spatial-Temporal Pattern of Mismatch Degree of High-Quality Tourism Development and Its Formation Mechanism in Taihu Lake Basin, China," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    3. Liguo Wang & Guodong Jia, 2023. "Spatial Spillover and Threshold Effects of High-Quality Tourism Development on Carbon Emission Efficiency of Tourism under the “Double Carbon” Target: Case Study of Jiangxi, China," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    4. Blanka Škrabić Perić & Blanka Šimundić & Vinko Muštra & Marijana Vugdelija, 2021. "The Role of UNESCO Cultural Heritage and Cultural Sector in Tourism Development: The Case of EU Countries," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    5. Zdravko Sergo, 2019. "Inter-Generational Employment Spillovers From Tourism Across The Eu," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 28(1), pages 97-125, june.
    6. Bernardina Algieri & Antonio à lvarez, 2023. "Assessing the ability of regions to attract foreign tourists: The case of Italy," Tourism Economics, , vol. 29(3), pages 788-811, May.
    7. Xiaopeng Si & Zi Tang, 2024. "Assessment of low-carbon tourism development from multi-aspect analysis: A case study of the Yellow River Basin, China," Papers 2402.11579, arXiv.org.
    8. Swen Nadkarni & Reinhard Prügl, 2021. "Digital transformation: a review, synthesis and opportunities for future research," Management Review Quarterly, Springer, vol. 71(2), pages 233-341, April.
    9. Caroline Jennings Saul & Heiko Gebauer, 2018. "Digital Transformation as an Enabler for Advanced Services in the Sanitation Sector," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    10. Aslan, Alper & Kaplan, Muhittin & Kula, Ferit, 2008. "International Tourism Demand for Turkey: A Dynamic Panel Data Approach," MPRA Paper 10601, University Library of Munich, Germany.
    11. Shaheer, Noman Ahmed & Li, Sali, 2020. "The CAGE around cyberspace? How digital innovations internationalize in a virtual world," Journal of Business Venturing, Elsevier, vol. 35(1).
    12. Garrod Brian & Almeida António & Machado Luiz, 2023. "Modelling of nonlinear asymmetric effects of changes in tourism on economic growth in an autonomous small-island economy," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(2), pages 154-172, December.
    13. Niccolò Comerio & Fernanda Strozzi, 2019. "Tourism and its economic impact: A literature review using bibliometric tools," Tourism Economics, , vol. 25(1), pages 109-131, February.
    14. Jose M. Cordero & Nickolaos G. Tzeremes, 2017. "Evaluating hotel productivity growth in Balearic and Canary islands," Tourism Economics, , vol. 23(5), pages 1146-1154, August.
    15. Nikeel Kumar & Ronald Ravinesh Kumar & Radika Kumar & Peter Josef Stauvermann, 2020. "Is the tourism–growth relationship asymmetric in the Cook Islands? Evidence from NARDL cointegration and causality tests," Tourism Economics, , vol. 26(4), pages 658-681, June.
    16. Liu, Yaping & Sadiq, Farah & Ali, Wajahat & Kumail, Tafazal, 2022. "Does tourism development, energy consumption, trade openness and economic growth matters for ecological footprint: Testing the Environmental Kuznets Curve and pollution haven hypothesis for Pakistan," Energy, Elsevier, vol. 245(C).
    17. Muhammad Farooq Islam & Ozge Can, 2024. "Integrating digital and sustainable entrepreneurship through business models: a bibliometric analysis," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 14(1), pages 1-18, December.
    18. Boeker, Warren & Howard, Michael D. & Basu, Sandip & Sahaym, Arvin, 2021. "Interpersonal relationships, digital technologies, and innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 125(C), pages 495-507.
    19. Benson, Rebecca & von Hippel, Paul T. & Lynch, Jamie L., 2018. "Does more education cause lower BMI, or do lower-BMI individuals become more educated? Evidence from the National Longitudinal Survey of Youth 1979," Social Science & Medicine, Elsevier, vol. 211(C), pages 370-377.
    20. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer, 2012. "IV Estimation of a Panel Threshold Model of Tourism Specialization and Economic Development," Tourism Economics, , vol. 18(1), pages 5-41, February.

    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:15:p:11626-:d:1204286. 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.