IDEAS home Printed from
   My bibliography  Save this article

Regional Economic Indicators: with a focus on sub‐regional Gross Valued Added using shift‐share analysis


  • Sebnem Oguz

    (Office for National Statistics)

  • Jonathan Knight

    (Office for National Statistics)


SummaryThis quarter, the Regional Economic Indicators article focuses on explaining the differences in sub‐regional economic growth rates (Gross Value Added (GVA)) 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.

Suggested Citation

  • Sebnem Oguz & Jonathan Knight, 2010. "Regional Economic Indicators: with a focus on sub‐regional Gross Valued Added using shift‐share analysis," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 4(11), pages 64-105, November.
  • Handle: RePEc:pal:ecolmr:v:4:y:2010:i:11:p:64-105

    Download full text from publisher

    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 search for a different version of it.


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

    Cited by:

    1. Ron Martin & Peter Sunley & Ben Gardiner & Peter Tyler, 2016. "How Regions React to Recessions: Resilience and the Role of Economic Structure," Regional Studies, Taylor & Francis Journals, vol. 50(4), pages 561-585, April.

    More about this item


    Access and download statistics


    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:pal:ecolmr:v:4:y:2010:i:11:p:64-105. 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). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.