Acceso al sitio web del Consejo de Políticas de Infraestructura

   
ARTÍCULO
TITULO

Drivers of Productivity: a Case Study of the Australian Construction Industry

Will Chancellor    

Resumen

Australian construction productivity has grown slowly since 1985 and remains arguably stagnant. The importance of this study is therefore to examine several factors through to be drivers of construction productivity and to understand possible avenues for improvement. The drivers tested are research and development, apprentices, wage growth, unionisation and safety regulation. Expenditure on research and development and the number of apprentices were found to be drivers of productivity growth in Victoria, New South Wales and Western Australia. These findings are important because collectively, these three states account for a majority of construction activity in Australia.

PÁGINAS
pp. 85 - 97

 Artículos similares

       
 
Lars M. Heijenrath and Wim J. C. Verhagen    
Accurate estimation of spare part demand is challenging in the case of intermittent or lumpy demand, characterised by infrequent demand occurrence and variability in demand size. While prior research has considered the effect of exogenous variables on sp... ver más
Revista: Aerospace

 
Sangwan Lee, Kuk Cho, Hyunbae Park and Dooyong Cho    
This study explored the economic influence of introducing fully autonomous trucks (ATs) on the total cost of operation (TCO) from the viewpoint of freight transport operators. We utilized the cost?benefit analysis and scenario planning frameworks using a... ver más
Revista: Applied Sciences

 
Iryna Belyakova, Vadim Piscio, Pavlo Maruschak, Oleksandr Shovkun, Volodymyr Medvid and Mariya Markovych    
Ambient temperature significantly affects the electrical and light parameters of LEDs, such as forward and reverse current, voltage drop LEDs and luminous flux. With an increase in temperature, the decrease in the intensity of LED radiation is explained ... ver más

 
Jennie Gray, Lisa Buckner and Alexis Comber    
Geodemographic classifications are useful tools for segmenting populations and have many applications but are not suitable for measuring neighbourhood change over time. There is a need for an approach that uses data of a higher spatiotemporal resolution ... ver más
Revista: Urban Science

 
Christine Dewi, Rung-Ching Chen, Yong-Cun Zhuang, Xiaoyi Jiang and Hui Yu    
In recent years, there have been significant advances in deep learning and road marking recognition due to machine learning and artificial intelligence. Despite significant progress, it often relies heavily on unrepresentative datasets and limited situat... ver más