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

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  • Yan Li
  • Chunlu Liu

Abstract

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
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    Citations

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    Cited by:

    1. Xueqing Wang & Yuan Chen & Bingsheng Liu & Yinghua Shen & Hui Sun, 2013. "A total factor productivity measure for the construction industry and analysis of its spatial difference: a case study in China," Construction Management and Economics, Taylor & Francis Journals, vol. 31(10), pages 1059-1071, October.
    2. Gui Ye & Yuhe Wang & Yuxin Zhang & Liming Wang & Houli Xie & Yuan Fu & Jian Zuo, 2019. "Impact of Migrant Workers on Total Factor Productivity in Chinese Construction Industry," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    3. Haiyan Deng & Ge Bai & Kristiaan Kerstens & Zhiyang Shen, 2023. "Comparing green productivity under convex and nonconvex technologies: Which is a robust approach consistent with energy structure?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(8), pages 4377-4394, December.
    4. Min Lu & Xing Wang & Yuquan Cang, 2018. "Carbon Productivity: Findings from Industry Case Studies in Beijing," Energies, MDPI, vol. 11(10), pages 1-19, October.
    5. 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.
    6. Procel, Claudette, 2021. "Efficiency analysis of Catalonia’s construction industry pre- and post-financial crisis: a data envelopment analysis (DEA) approach," TEC Empresarial, School of Business, Costa Rica Institute of Technology (ITCR), vol. 15(2), pages 18-32.
    7. Abdoulaye Kané, 2022. "Measurement of total factor productivity: Evidence from French construction firms," EconomiX Working Papers 2022-9, University of Paris Nanterre, EconomiX.
    8. Segundo Camino‐Mogro & Natalia Bermudez‐Barrezueta, 2021. "Productivity determinants in the construction sector in emerging country: New evidence from Ecuadorian firms," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2391-2413, November.
    9. 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.
    10. Xiancun Hu & Chunlu Liu, 2017. "Slacks-based data envelopment analysis for eco-efficiency assessment in the Australian construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 35(11-12), pages 693-706, December.
    11. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).

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