IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v50y2019i4p1242-1259.html
   My bibliography  Save this article

How does tolerance affect urban innovative capacities in China?

Author

Listed:
  • Junsong Wang
  • Yehua Dennis Wei
  • Bingquan Lin

Abstract

This study investigated how urban cultural and economic tolerance affects urban innovative capacities based on China's prefecture‐level cities. Several tolerance indices, including ratios of migrants, rental housing, gay people, and private economies were introduced and the cities’ tolerance scores were measured using factor analysis. The results show that cities with higher cultural and economical tolerant scores were agglomerated in three metropolitan areas in China's southeastern coastal region. The spatial regression model demonstrates that urban cultural and economic tolerance increases urban innovation output and promotes innovation capacities. We also introduced the crime rate as an instrumental variable and found that the effect of tolerance on innovation remains robust. Our study suggests it is important for the Chinese government to establish an open and tolerant environment to attract migrants, creative artists, and entrepreneurs to foster urban vitality and improve urban innovative capacities.

Suggested Citation

  • Junsong Wang & Yehua Dennis Wei & Bingquan Lin, 2019. "How does tolerance affect urban innovative capacities in China?," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1242-1259, December.
  • Handle: RePEc:bla:growch:v:50:y:2019:i:4:p:1242-1259
    DOI: 10.1111/grow.12323
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12323
    Download Restriction: no

    File URL: https://libkey.io/10.1111/grow.12323?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Yizhen Zhang & Zhen Deng & Agus Supriyadi & Rui Song & Tao Wang, 2022. "Spatiotemporal spread characteristics and influencing factors of COVID‐19 cases: Based on big data of population migration in China," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1694-1715, December.

    More about this item

    Statistics

    Access and download statistics

    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:bla:growch:v:50:y:2019:i:4:p:1242-1259. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    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.