IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v30y2012i12p1055-1069.html
   My bibliography  Save this article

An analysis of construction productivity in Malaysia

Author

Listed:
  • Fah Choy Chia
  • Martin Skitmore
  • Goran Runeson
  • Adrian Bridge

Abstract

The construction industry is an industry of major strategic importance. Its level of productivity has a significant effect on national economic growth. Productivity indicators are examined. The indicators consist of labour productivity, capital productivity, labour competitiveness, capital intensity and added value content of data, which are obtained from the published census/biannual surveys of the construction industry between the years 1999 and 2011 from the Department of Statistics of Malaysia. The results indicated that there is an improvement in the labour productivity, but the value-added content is declining. The civil engineering and special trades subsectors are more productive than the residential and non-residential subsectors in terms of labour productivity because machine-for-labour substitution is a more important process in those subsectors. The capital-intensive characteristics of civil engineering and special trade works enable these subsectors to achieve higher added value per labour cost but not the capital productivity. The added value per labour cost is lower in larger organizations despite higher capital productivity. However, the capital intensity is lower and unit labour cost is higher in the larger organizations.

Suggested Citation

  • Fah Choy Chia & Martin Skitmore & Goran Runeson & Adrian Bridge, 2012. "An analysis of construction productivity in Malaysia," Construction Management and Economics, Taylor & Francis Journals, vol. 30(12), pages 1055-1069, December.
  • Handle: RePEc:taf:conmgt:v:30:y:2012:i:12:p:1055-1069
    DOI: 10.1080/01446193.2012.711910
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01446193.2012.711910
    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.

    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:taf:conmgt:v:30:y:2012:i:12:p:1055-1069. 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: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RCME20 .

    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.