Abstract
The Australian construction industry continues to play an important role in the national economy. Analysis using input–output tables makes it possible to understand the role of the construction industry in Australia’s economy and its relationships to other major industries over years. This study applies several economic indicators to investigate the construction industry’s contributions to gross national product and gross national income, as well as its backward and forward linkage indicators, and its output and input multipliers. The paper also investigates the purchases of goods and services by the construction industry from other sectors and its sales to other industries over the analysis period. Findings from this research may help policymakers to better understand the economic linkages between the construction industry and other major industries, and the structural changes in its inputs and outputs in relation to these others.
Highlights
Over the past several decades, input–output tables have drawn attention from researchers and received considerable interest in studies of the construction sector
Based on IO tables, analysis of sectoral input and output trends provides additional understanding because it reveals the structures of economic activities (Altimiras-Martin, 2014)
This study investigates the sectoral linkages between the construction industry and the Australian national economy, and the structural changes in the construction industry, over the period 1995– 2011
Summary
Over the past several decades, input–output tables have drawn attention from researchers and received considerable interest in studies of the construction sector. Based on IO tables, analysis of sectoral input and output trends provides additional understanding because it reveals the structures of economic activities (Altimiras-Martin, 2014). The current study’s aim of using this time series data from the WIOD is to investigate the effects of the Australian construction sector on the national economy, and the input and output trends over this period.
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