IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7686-d1141402.html
   My bibliography  Save this article

The Spatiotemporal Patterns and Driving Factors of Culture and Tourism Listed Companies in China

Author

Listed:
  • Wenjie Hu

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Huangshan Park Ecosystem Observation and Research Station, Ministry of Education, Huangshan 245899, China)

  • Jinhe Zhang

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Huangshan Park Ecosystem Observation and Research Station, Ministry of Education, Huangshan 245899, China)

  • Leying Zhou

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Huangshan Park Ecosystem Observation and Research Station, Ministry of Education, Huangshan 245899, China)

  • Yi Sun

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    Huangshan Park Ecosystem Observation and Research Station, Ministry of Education, Huangshan 245899, China)

Abstract

The integration of culture and tourism is the key measure for China in transforming and upgrading the tourism industry. It could promote the sustainable development by reducing the consumption of tourism resources. During the implementation of this policy, culture and tourism listed companies play a leading role, as they are the major force in the cultural and tourism industry, and their spatiotemporal characteristics shows the level of development of the cultural and tourism industry and the economy in different regions. Taking the culture and tourism companies as the research objects, this paper analyzed the spatiotemporal patterns and evolution mechanism of culture and tourism listed companies over a long time scale. The results showed that: (1) the number of newly added listed companies in the cultural, tourism, and cultural and tourism categories basically showed the same change trend, and the developing process could be divided into three periods, namely embryonic (1978–1992), exploration (1992–2006) and growth (2007–2021). (2) The spatial distribution of Chinese culture and tourism listed companies developed from “single core” to “one core and multiple stars”, and gradually stabilized into a spatial pattern of “three cores”. The center of gravity was located in the southeast of China, moving from south to north in the shape of a “Z”. (3) Traffic service, government financial strength, financial environment and tourism resource endowment are the main factors affecting the spatial distribution of Chinese culture and tourism listed companies. Compared with the impact of a single influencing factor, the interactions between various factors are much stronger, especially the combinations of tourism resource endowment and another three factors, namely traffic service, communication development and economic development.

Suggested Citation

  • Wenjie Hu & Jinhe Zhang & Leying Zhou & Yi Sun, 2023. "The Spatiotemporal Patterns and Driving Factors of Culture and Tourism Listed Companies in China," Sustainability, MDPI, vol. 15(9), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7686-:d:1141402
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7686/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/9/7686/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gianluca Marcato & Stanimira Milcheva & Chen Zheng, 2018. "Urban Economic Openness and IPO Underpricing," The Journal of Real Estate Finance and Economics, Springer, vol. 56(3), pages 325-351, April.
    2. Deyu Meng & Guoen Wei & Pingjun Sun, 2020. "Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China’s Yangtze River Economic Belt," Complexity, Hindawi, vol. 2020, pages 1-14, December.
    3. Ruiying Kuang & Yingying Zuo & Shen Gao & Penghua Yin & Yiting Wang & Zixi Zhang & Shiman Cai & Na Li, 2023. "Research on the Spatial Distribution Characteristics and Influencing Factors of Central China’s Intangible Cultural Heritage," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
    4. Dan Yuan & Runhan Wu & Dong Li & Lei Zhu & Yaguang Pan, 2023. "Spatial Patterns Characteristics and Influencing Factors of Cultural Resources in the Yellow River National Cultural Park, China," Sustainability, MDPI, vol. 15(8), pages 1-18, 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. Yunxiang Ge & Cheng Lu & Han Gao, 2023. "Constructing an Indicator System for Cultural Sustainability in Chinese Cities under the Objective of Urban Renewal and Capability Measurement," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    2. Li Lin & Yuting Chen & Hong Zhu & Jiwang You, 2023. "The Effect of Color Saturation of Travel Pictures on Consumer Appeal," Sustainability, MDPI, vol. 15(19), pages 1-27, October.
    3. Zhiqiang Cai & Keke Cai & Tao Huang & Ge Zhang & Ruixi Chen, 2024. "Spatial Distribution Characteristics and Sustainable Inheritance Strategies of National Traditional Fine Arts Intangible Cultural Heritage in China," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    4. Yueting Xi & Taili Liu & Siliang Chen & Xinru Zhang & Suyi Qu & Yue Dong, 2024. "A Study of the Spatial–Temporal Development Patterns and Influencing Factors of China’s National Archaeological Site Parks," Sustainability, MDPI, vol. 16(8), pages 1-25, April.
    5. David C. Ling & Gianluca Marcato & Chen Zheng, 2022. "Does asset location and concentration explain REIT IPO valuation?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(3), pages 672-706, September.
    6. Hao-Chen Huang & Hsin-Yin Chang & Ting-Hsiu Liao, 2023. "Analyzing the Impact of the Labor Market on Company Location Selection Using Spatial Econometric Models," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(6), pages 1-9.
    7. Yanqi Han & Minghui Hua & Malan Huang & Jin Li & Shirui Wang, 2022. "Dynamic Transition and Convergence Trend of the Innovation Efficiency among Companies Listed on the Growth Enterprise Market in the Yangtze River Economic Belt—Empirical Analysis Based on DEA—Malmquis," Sustainability, MDPI, vol. 14(9), pages 1-28, April.
    8. Chenming Zhang & Bei He & Wei Li & Chunyang Guo, 2023. "Spatial Distribution and Accessibility Evaluation of National Water Parks in China," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    9. Xiaofei Fang & Pengfei Tai & Fugao Jiang, 2024. "Study on the Spatial Layout and Influencing Factors of Campsites in the Yellow River Basin," Sustainability, MDPI, vol. 16(12), pages 1-17, June.

    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:9:p:7686-:d:1141402. 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.