Modeling Australia's construction workforce demand: Empirical study with a global economic perspective

Junxiao Liu, Peter E.D. Love, Chun Pong Sing, Brad Carey, Jane Matthews

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

Workforce planning is vital for implementing strategic human resource planning. A causal model that incorporates a global economic perspective is derived in this paper by undertaking a detailed review of the normative literature and empirically estimated by a vector error correction (VEC) model. The reliability of the developed VEC model is validated by using several tests (e.g., Lagrange multiplier test, White's test, and Jarque-Bera test), all of which indicate that the proposed models are able to forecast construction workforce demand in the context of global economic turbulence. This paper contributes to the literature by systematically developing advanced models that not only model construction workforce demand, but also examine the impact of the global economic climate on the labor market. It provides policy makers with a practical tool and insight into future workforce demand, which serves to assist to launch an effective human resources strategy in the construction industry.
Original languageEnglish
Article number05014019
JournalJournal of Construction Engineering and Management
Volume141
Issue number4
DOIs
Publication statusPublished - 1 Apr 2015
Externally publishedYes

Keywords

  • Construction workforce demand
  • Global economic turbulence
  • Labor and Personnel Issues
  • Vector error correction (VEC) model

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Industrial relations
  • Strategy and Management

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