IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v53y2017i6p1442-1454.html
   My bibliography  Save this article

Spatial Distributions and Determinants of Regional Innovation in China: Evidence from Chinese Metropolitan Data

Author

Listed:
  • Duoduo Tan
  • Cheng Cheng
  • Mujun Lei
  • Yucheng Zhao

Abstract

This article, using a panel dataset covering patents granted in 336 cities and the economic and employment data of 282 cities in China, presents an preliminary exploratory spatial data analysis by Gini coefficient and Moran’s I analysis, and a confirmatory spatial data analysis by spatial Durbin model. We first investigate China regional innovative activities by three different types of patents at metropolitan-level data and make several key findings. First, the spatial autocorrelation of invention patent is insignificant from 2001 to 2013, whereas the coefficients of spatial autocorrelation of utility patents and design patents are continuingly rising across years. Second, the innovation clusters are vanishing in China’s western and northeastern cities, whereas booming in the periphery cities of Shanghai and Guangzhou during 2000–2015. Third, the cities surrounded by high level of GDP output and R&D expenditure neighbors will more likely perform better in innovative activities. By employing smaller territorial units, we provide more specific details about the regional distribution and the dynamic interaction of innovative activities across cities in China.

Suggested Citation

  • Duoduo Tan & Cheng Cheng & Mujun Lei & Yucheng Zhao, 2017. "Spatial Distributions and Determinants of Regional Innovation in China: Evidence from Chinese Metropolitan Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(6), pages 1442-1454, June.
  • Handle: RePEc:mes:emfitr:v:53:y:2017:i:6:p:1442-1454
    DOI: 10.1080/1540496X.2017.1283215
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2017.1283215
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2017.1283215?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.

    Citations

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


    Cited by:

    1. Zhang, Xiaoqian & Yu, Mingqiang & Chen, Gaoquan, 2020. "Does mixed-ownership reform improve SOEs' innovation? Evidence from state ownership," China Economic Review, Elsevier, vol. 61(C).

    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:mes:emfitr:v:53:y:2017:i:6:p:1442-1454. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.