<p>The closure of Australia’s automotive manufacturing industry in 2017 marked a significant economic shift, leading to widespread job losses across Original Equipment Manufacturers and supply chain firms. This paper presents a consolidated dataset from all five waves of a longitudinal study tracking the long-term outcomes of retrenched automotive workers from 2020 to 2024. The study collected data on employment status, job history, household circumstances, financial well-being, and labour market experiences, reflecting the diverse pathways taken by participants post-retrenchment. A total of 4,261 responses were collected over five waves, providing critical insights into the impacts of industry closures on affected workers and their communities. Data collection employed a combination of Computer-Assisted Telephone Interviews and online surveys, targeting retrenched autoworkers primarily from South Australia and Victoria. This dataset contributes a robust resource for researchers and policymakers seeking to understand the socio-economic effects of large-scale industry transitions and to inform future strategies for supporting displaced workers.</p>

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A longitudinal dataset of retrenched automotive workers in Australia

  • Jacob Irving,
  • Andrew Beer,
  • Sally Weller,
  • Tom Barnes,
  • Ilke Onur,
  • Julie Ratcliffe,
  • David Bailey,
  • Markku Sotarauta,
  • Akshay Vij

摘要

The closure of Australia’s automotive manufacturing industry in 2017 marked a significant economic shift, leading to widespread job losses across Original Equipment Manufacturers and supply chain firms. This paper presents a consolidated dataset from all five waves of a longitudinal study tracking the long-term outcomes of retrenched automotive workers from 2020 to 2024. The study collected data on employment status, job history, household circumstances, financial well-being, and labour market experiences, reflecting the diverse pathways taken by participants post-retrenchment. A total of 4,261 responses were collected over five waves, providing critical insights into the impacts of industry closures on affected workers and their communities. Data collection employed a combination of Computer-Assisted Telephone Interviews and online surveys, targeting retrenched autoworkers primarily from South Australia and Victoria. This dataset contributes a robust resource for researchers and policymakers seeking to understand the socio-economic effects of large-scale industry transitions and to inform future strategies for supporting displaced workers.