Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 7 results ...
Chand, A M and Loosemore, M (2016) Hospital disaster management’s understanding of built environment impacts on healthcare services during extreme weather events. Engineering, Construction and Architectural Management, 23(03), 385-402.
Elbeltagi, E, Ammar, M, Sanad, H and Kassab, M (2016) Overall multiobjective optimization of construction projects scheduling using particle swarm. Engineering, Construction and Architectural Management, 23(03), 265-82.
Forsythe, P J (2016) Construction service quality and satisfaction for a targeted housing customer. Engineering, Construction and Architectural Management, 23(03), 323-48.
Lam, K C and Oshodi, O S (2016) Forecasting construction output: A comparison of artificial neural network and Box-Jenkins model. Engineering, Construction and Architectural Management, 23(03), 302-22.
Ma, L, Liu, C and Mills, A (2016) Construction labor productivity convergence: A conditional frontier approach. Engineering, Construction and Architectural Management, 23(03), 283-301.
- Type: Journal Article
- Keywords: Australia; modelling; construction industry; productivity capacity; productivity rate; economic theory
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-03-2015-0040
- Abstract:
Purpose - Understanding and simulating construction activities is a vital issue from a macro-perspective, since construction is an important contributor in economic development. Although the construction labor productivity frontier has attracted much research effort, the temporal and regional characteristics have not yet been explored. The purpose of this paper is to investigate the long-run equilibrium and dynamics within construction development under a conditional frontier context. Design/methodology/approach - Analogous to the simplified production function, this research adopts the conditional frontier theory to investigate the convergence of construction labor productivity across regions and over time. Error correction models are implemented to identify the long-run equilibrium and dynamics of construction labor productivity against three types of convergence hypotheses, while a panel regression method is used to capture the regional heterogeneity. The developed models are applied to investigate and simulate the construction labor productivity in the Australian states and territories. Findings - The results suggest that construction labor productivity in Australia should converge to stable frontiers in a long-run perspective. The dynamics of the productivity are mainly caused by the technology utilization efficiency levels of the local construction industry, while the influences of changes in technology level and capital depending appear limited. Five regional clusters of the Australian construction labor productivity are suggested by the simulation results, including New South Wales; Australian Capital Territory; Northern Territory, Queensland, and Western Australia; South Australia; and Tasmania and Victoria. Originality/value - Three types of frontier of construction labor productivity is proposed. An econometric approach is developed to identify the convergence frontier of construction labor productivity across regions over time. The specified model can provides accurate predictions of the construction labor productivity.
Vilventhan, A and Kalidindi, S N (2016) Interrelationships of factors causing delays in the relocation of utilities: A cognitive mapping approach. Engineering, Construction and Architectural Management, 23(03), 349-68.
Zhao, X, Hwang, B-G and Low, S P (2016) An enterprise risk management knowledge-based decision support system for construction firms. Engineering, Construction and Architectural Management, 23(03), 369-84.