IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Regional economic indicators: A focus on regional gross value added using shift-share analysis

Listed author(s):
  • Sebnem Oguz

    (Office for National Statistics)

  • Jonathan Knight

    (Office for National Statistics)

Registered author(s):

    SUMMARYThis quarter, the regional economic indicators article focuses on explaining variations in economic growth rates across NUTS1 regions between 1995 and 2007 by using the shift-share method. The technique is based on the assumption that local economic growth is explained by the combined effect of three components: national growth, industry mix or structural effect, and local competitiveness. Thus, one can apply shift-share to determine how much each component contributes to local economic growth. The regular part of the article then gives an overview of the economic activity of UK regions in terms of their GVA, GVA per head and labour productivity. This is followed by a presentation of headline indicators of regional welfare, other drivers of regional productivity and regional labour market statistics. The indicators cover the nine Government Office Regions of England and the devolved administrations of Northern Ireland, Scotland and Wales. These 12 areas comprise level 1 of the European Nomenclature of Units for Territorial Statistics (NUTS level 1) for the UK. The term ‘region’ is used to describe this level of geography for convenience in the rest of this article.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    File Function: Link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.

    File URL:
    File Function: Link to full text HTML
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Palgrave Macmillan & Office for National Statistics in its journal Economic & Labour Market Review.

    Volume (Year): 4 (2010)
    Issue (Month): 8 (August)
    Pages: 74-87

    in new window

    Handle: RePEc:pal:ecolmr:v:4:y:2010:i:8:p:74-87
    Contact details of provider: Web page:

    Web page:

    Order Information: Web:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:pal:ecolmr:v:4:y:2010:i:8:p:74-87. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

    or (Rebekah McClure)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.