IDEAS home Printed from
   My bibliography  Save this article

Malmquist indices of total factor productivity changes in the Australian construction industry


  • Yan Li
  • Chunlu Liu


Construction is an important industry and forms a vital part of national economics in the world. Factors affecting the productivity of the construction industry should be measured appropriately to reflect its development situation and economic performance. The Malmquist index method with a novel decomposition technique is employed to estimate the total factor productivity of the Australian construction industry during the period 1990-2007 and to analyse the factors affecting the technological change in the industry. Research results exemplified by two input variables and one output variable elaborate how construction technology, pure technical efficiency and scale economy take effect in the change of construction productivity. In addition, based on temporal and spatial comparisons, the analysis for construction productivities reveals their changes over time and across the country. Proposals and recommendations are expected to be beneficial for policy making and strategic decisions to improve the performance of the Australian construction industry.

Suggested Citation

  • Yan Li & Chunlu Liu, 2010. "Malmquist indices of total factor productivity changes in the Australian construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 28(9), pages 933-945.
  • Handle: RePEc:taf:conmgt:v:28:y:2010:i:9:p:933-945 DOI: 10.1080/01446191003762231

    Download full text from publisher

    File URL:
    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.

    References listed on IDEAS

    1. Bajari, Patrick & Tadelis, Steven, 2001. "Incentives versus Transaction Costs: A Theory of Procurement Contracts," RAND Journal of Economics, The RAND Corporation, vol. 32(3), pages 387-407, Autumn.
    2. Parkhe, Arvind, 1998. "Building trust in international alliances," Journal of World Business, Elsevier, vol. 33(4), pages 417-437, January.
    3. Sai-On Cheung & Tsun-Ip Lam & Mei-Yung Leung & Yue-Wang Wan, 2001. "An analytical hierarchy process based procurement selection method," Construction Management and Economics, Taylor & Francis Journals, vol. 19(4), pages 427-437.
    4. Roberto Pietroforte, 1997. "Communication and governance in the building process," Construction Management and Economics, Taylor & Francis Journals, vol. 15(1), pages 71-82.
    5. Anna Dubois & Lars-Erik Gadde, 2002. "The construction industry as a loosely coupled system: implications for productivity and innovation," Construction Management and Economics, Taylor & Francis Journals, vol. 20(7), pages 621-631.
    6. Barlow, James, 2000. "Innovation and learning in complex offshore construction projects," Research Policy, Elsevier, vol. 29(7-8), pages 973-989, August.
    7. Albert Chan & Daniel Chan & Kathy Ho, 2003. "An empirical study of the benefits of construction partnering in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 21(5), pages 523-533.
    8. M. Motiar Rahman & Mohan Kumaraswamy, 2002. "Joint risk management through transactionally efficient relational contracting," Construction Management and Economics, Taylor & Francis Journals, vol. 20(1), pages 45-54.
    9. Spekman, Robert E., 1988. "Strategic supplier selection: Understanding long-term buyer relationships," Business Horizons, Elsevier, vol. 31(4), pages 75-81.
    10. J Michael Geringer, 1991. "Strategic Determinants of Partner Selection Criteria in International Joint Ventures," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 22(1), pages 41-62, March.
    11. Per Erik Eriksson, 2006. "Procurement and Governance Management ? Development of a Conceptual Procurement Model Based on Different Types of Control," management revue. Socio-economic Studies, Rainer Hampp Verlag, vol. 17(1), pages 30-49.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2014. "Assessing dynamic inefficiency of the Spanish construction sector pre- and post-financial crisis," European Journal of Operational Research, Elsevier, vol. 237(1), pages 349-357.
    2. Kapelko, M. & Horta, I.M. & Camanho, A.S. & Oude Lansink, A., 2015. "Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal," International Journal of Production Economics, Elsevier, vol. 166(C), pages 64-71.


    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:28:y:2010:i:9:p:933-945. 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: .

    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.