CQUniversity
Browse

Predicting workforce demand and skill development for low-carbon energy sector in Queensland

conference contribution
posted on 2021-05-13, 00:55 authored by Delwar AkbarDelwar Akbar, Susan KinnearSusan Kinnear, Azad Rahman, Md Rahat HossainMd Rahat Hossain
The climate transition strategy of Queensland Government has targeted low carbon economy includes a greater use of low carbon technologies. This study aims to predict low carbon workforce demand and their skilling need for Queensland. This study used a prediction model to forecast future workforce required for a successful transition to a low carbon electricity generation based on the available secondary data and literature. In addition this study conducted an employer survey on the requirement of the skilled workforce and the level of professional skills. The research results indicated that more than 5,300 new workforce will be required in construction, commissioning and servicing of new and/or existing power plants and facilities, with most of these being located in regional Queensland. The study results also suggest the need for a workforce transition policy and planning that may include retraining and skilling traditional workforce to the newly emerged sector.

History

Editor

Dalziel P

Start Page

41

End Page

53

Number of Pages

13

Start Date

2017-12-06

Finish Date

2017-12-08

Location

Toowoomba, Queensland, Australia

Publisher

Agribusiness and Economics Research Unit (AERU)

Place of Publication

Canterbury, New Zealand

Additional Rights

Copyright © ANZRSAI 2018 ; Individual chapters © the authors 2018

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Name of Conference

41st Annual Conference of the Australian and New Zealand Regional Science Association International

Parent Title

Refereed Proceedings of the 41st Annual Conference of the Australian and New Zealand Regional Science Association International

Usage metrics

    CQUniversity

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC