IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v200y2024ics004016252300820x.html
   My bibliography  Save this article

Can innovative pilot city policies improve the allocation level of innovation factors? – Evidence from China

Author

Listed:
  • Xu, Ye
  • Wang, Zhi-Chao
  • Tao, Chang-Qi

Abstract

Improving the level of innovation factor allocation is an important route to achieve high-quality economic development in China and has received much attention from scholars. As a policy system to change the old and new dynamics of innovation, the impact of innovation pilot cities on the allocation of innovation factors is of great importance. Using a sample of 254 prefecture-level cities in China from 2006 to 2019, this paper empirically analyses the impact of innovative pilot city policies on the allocation of innovation factors and their paths of action using a multi-temporal double-difference model. The study finds that the innovative pilot city policy significantly improved the level of innovation factor allocation, and this result held true after considering a series of robustness tests and endogeneity tests. Mechanistic tests show that the innovation pilot city policy has an impact on the allocation of innovation factors through the factor mobility effect and the innovation environment effect. Heterogeneity test shows that the influence of innovation pilot city policies on innovation factor allocation is greater in cities with higher administrative levels and better geographical locations. The economic consequences show that the innovation pilot city policy can significantly promote high-quality regional economic development. This study provides useful lessons for giving full play to the innovation-driven policy's innovation factor allocation effect, thereby enhancing China's high-quality economic development.

Suggested Citation

  • Xu, Ye & Wang, Zhi-Chao & Tao, Chang-Qi, 2024. "Can innovative pilot city policies improve the allocation level of innovation factors? – Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:tefoso:v:200:y:2024:i:c:s004016252300820x
    DOI: 10.1016/j.techfore.2023.123135
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016252300820X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2023.123135?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:tefoso:v:200:y:2024:i:c:s004016252300820x. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.