The effects of the late 2000s global financial crisis on Australia’s construction demand

Heng Jiang; Xiao-Hua Jin; Chunlu Liu

doi:10.5130/AJCEB.v13i3.3602

Vol 13, No 3 (2013): AJCEB Incorporating Special Issue on OH&S

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Published: Sep 18, 2013

DOI: https://doi.org/10.5130/AJCEB.v13i3.3602

Keywords:

Vector error correction, intervention analysis, construction demand, the global financial crisis

Heng Jiang

Deakin University

Xiao-Hua Jin

University of Western Sydney

Chunlu Liu

Deakin University

Abstract

An accurate measurement of the impacts of external shocks on construction demand will enable construction industry policymakers and developers to make allowances for future occurrences and advance the construction industry in a sustainable manner. This paper aims to measurethe dynamic effects of the late 2000s global financial crisis on the level of demand in the Australian construction industry. The vector error correction (VEC) model with intervention indicators is employed to estimate the external impact from the crisis on a macro-level construction economic indicator, namely construction demand. The methodology comprises six main stages to produce appropriate VEC models that describe the characteristics of the underlying process. Research findings suggestthat overall residential and non-residential construction demand were affected significantly by the recent crisis and seasonality. Non-residentialconstruction demand was disrupted more than residential construction demand at the crisis onset. The residential constructionindustry is more reactive and is able to recover faster following the crisis in comparison with the non-residential industry. The VEC model with intervention indicators developed in this study can be used as an experiment for an advanced econometric method. This can be used to analyse the effects of special eventsand factors not only on construction but also on other industries.

How to Cite

Jiang, H., Jin, X.-H., & Liu, C. (2013). The effects of the late 2000s global financial crisis on Australia’s construction demand. Construction Economics and Building, 13(3), 65-79. https://doi.org/10.5130/AJCEB.v13i3.3602

Issue

Vol. 13 No. 3 (2013): AJCEB Incorporating Special Issue on OH&S

Section

Articles (Peer reviewed)

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Author Biographies

Heng Jiang, Deakin University

Xiao-Hua Jin, University of Western Sydney

Chunlu Liu, Deakin University

References

ABS 2012, Australian economic indicators. Canberra, Australia Bureau of Statistics
Akintoye, A., Bowen, P. & Hardcastle, C. 1998, ‘Macro-economic leading indicators of construction contract prices’, Construction Management and Economics, 16 (2), 159-75
Akintoye, A. & Skitmore, M. 1994, ‘Models of UK private sector quarterly construction demand’, Construction Management and Economics, 12 (1), 3-13
Ball, M., Farshchi, M. & Grilli, M. 2000, ‘Competition and the persistence of profits in the UK construction industry’, Construction Management and Economics, 18 (7), 733-45
Berkmen, P., Gelos, R. G., Rennhack, R. & Walsh, J. 2009, The global financial crisis: Explaining cross-country differences in the output impact, International Monetary Fund Working Papers WP/09/280,available at http://www.imf.org/external/pubs/cat/longres.aspx?sk=23438.0 access on 15/08/2013.
Blankenburg, S. & Palma, J. G. 2009, ‘Introduction: the global financial crisis’, Cambridge Journal of Economics, 33 (4), 531-38.
Bonham, C., Gangnes, B. & Zhou, T. 2009, ‘Modeling tourism: A fully identified VECM approach’, International Journal of Forecasting, 25 (3), 531-49.
Box, G. E. P. & Tiao, G. C. 1975, ‘Intervention analysis with applications to economic and environmental problems’, Journal of the American Statistical Association, 70 (349), 70-79.
Dicky, D.A. & Fuller, W.A. 1979, ‘Distribution of the estimators for autoregressive time series with a unit root’, Journal of the American Statistical Association, 74(336a), 427-431
Engle, R. F. & Granger, C. W. J. 1991, Long-run economic relationships: readings in cointegration, Oxford University Press, New York.
Fan, R. Y. C., Ng, S. T. & Wong, J. M. W. 2010, ‘Reliability of the Box-Jenkins model for forecasting construction demand covering times of economic austerity’, Construction Management and Economics, 28 (3), 241-54.
Hua, G. B. 1998, ‘Forecasting residential construction demand in Singapore: a comparative study of the accuracy of time series, regression and artificial neural network techniques’, Engineering, Construction and Architectural Management, 5 (3), 261-75.
Hua, G. B. 2005, ‘The dynamic effects of the Asian financial crisis on construction demand and tender price levels in Singapore’, Building and Environment, 40 (2), 267-76.
Hui, E. C. M. & Yue, S. 2006, ‘Housing price bubbles in Hong Kong, Beijing and Shanghai: a comparetive study’, The Journal of Real Estate Finance and Economics, 33 (4), 299-327.
Jiang, H. & Liu, C. 2011, Forecasting construction demand: A vector error correction model with dummy variables’, Construction Management and Economics, 22 (9), 969-79.
Johansen, S. & Juselius, K. 1990, ‘Maximum likelihood estimation and inference on cointegration -- with applications to the demand for money’, Oxford Bulletin of Economics and Statistics, 52 (2), 169-210.
Li, Y. & Liu, C. 2012, ‘Labour productivity measurement with variable returns to scale in Australia's construction industry’, Architectural Science Review, 55 (2), 110-18.
Liu, C., Ma, L., Luo, Z. & Picken, D. 2009, ‘An interdependence analysis of Australian house prices using variance decomposition’, International Journal of Housing Markets and Analysis, 2(3), 218-232.
Ma, L & Liu, C. 2013, ‘Spatio-temporal analysis of house price convergence based on a demographical distance’, International Journla of Strategic Property managemnt, 17(3), 263-277.
Meikle, J. 2001, ‘A review of recent trends in house construction and land prices in Great Britain’, Construction Management and Economics, 19 (3), 259-65.
Murphy, L. 2011, ‘The global financial crisis and the Australian and New Zealand housing markets’. Journal of Housing and the Built Environment, 26(3), 335-351.
Nayyar, D. 2011, ‘The financial crisis, the great recession and the developing world’, Global Policy, 2 (1), 20-32.
Ofori, G. 1990, The construction industry: aspects of its economics and management, Singapore University Press, Singapore.
Phillips, P. C. B. & Perron, P. 1988, ‘Testing for a unit root in time series regression’, Biometrika, 75 (2), 335-46.
Ramey, V. 1993, How important is the credit channel in the transmission of monetary policy?, Carnegie-Rochester Conference Series on Public Policy, North-Holland.
Song, Y. & Liu, C. 2006, ‘The Australian construction linkages in the 1990s’, Architectural Science Review, 49 (4), 408-17.
Tang, J. C. S., Karasudhi, P. & Tachopiyagoon, P. 1990, ‘Thai construction industry: demand and projection’, Construction Management and Economics, 8 (3), 249-57.
Yap, G. & Allen, D. 2011, ‘Investigating other leading indicators influencing Australian domestic tourism demand’, Mathematics and Computers in Simulation, 81 (7), 1365-74.

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Heng Jiang, Deakin University

Xiao-Hua Jin, University of Western Sydney

Chunlu Liu, Deakin University

References