1,720,969 research outputs found
Future Work Future Communities - Stream 4 - Whyalla Community Leaders Interviews
No full textThe Whyalla Community Leaders dataset captures rich qualitative data from regional leaders regarding the transformative economic changes occurring in Whyalla, specifically focusing on the reinvestment in the steelworks. This research explores how leadership, government involvement, and business engagement influence the regional economic trajectory, alongside the societal and psychological impacts of such transitions.
The dataset provides insights into how leaders perceive the role of high-profile stakeholders like Sanjeev Gupta and the GFG Alliance in reshaping Whyalla's economic identity and instilling confidence in its future growth. It examines the comparative effectiveness of current initiatives against historical economic efforts over the past two to three decades, highlighting key differences that contribute to optimism about long-term prosperity.
Further, this dataset investigates the interplay between federal, state, and local governments in driving reinvestment and their perceived impacts on economic restructuring. It also delves into the local business community's responses to these changes, analyzing whether businesses align with the new economic activity led by GFG or pursue independent growth strategies.
Additionally, the dataset includes perspectives on Whyalla’s emerging strengths in renewable energy and its potential to shape the regional economy in the future. Leaders provide projections for the city’s development over the next 10 to 20 years, offering insights into anticipated challenges, opportunities, and strategies for sustainable growth.
This dataset provides a comprehensive view of the mechanisms driving economic transformation in Whyalla, enriched by the perspectives of its community leaders. It is a valuable resource for understanding the dynamics of regional economic renewal and the roles of leadership, policy, and local engagement in shaping such transitions
Discrete Choice Experiment 1: Labour Market Preferences
No full textThis dataset presents the results from a survey administered to 309 workers retrenched from the Australian automotive industry during the industry's closures. The survey was conducted between December 2021 and February 2022 and explored workers' labour market preferences, focusing on non-pecuniary job attributes. Respondents, who previously worked in roles marked for redundancy, were asked about their employment attitudes, perceptions of training programs, and preferences for job attributes such as autonomy, skill utilisation, supervision responsibilities, and employer reputation.
Participants engaged in stated preference experiments, choosing between hypothetical jobs that varied across attributes like contract type, autonomy, and skill utilisation. The sample, reflecting a representative distribution of demographics from the 2016 Census, included both original equipment manufacturers and supply chain workers. This design provides insights into the labour market preferences of retrenched automotive workers, enhancing understanding of how job quality and meaningful work influence re-employment decisions
Discrete Choice Experiment 2: Training Preferences
No full textThis dataset presents the results from a survey administered to 342 respondents who participated in the second Discrete Choice Experiment (DCE) survey conducted between December 2023 and February 2024. These participants, recruited from a longitudinal survey cohort, provided insights into their preferences and experiences regarding job search training and employment assistance programs.
The survey examined respondents' perceptions of various employment programs, including job search training, career counselling, and vocational training options. Participants evaluated the importance and satisfaction levels of these programs, as well as their outcomes in terms of skill development and re-employment opportunities. A stated preference component required respondents to choose between hypothetical job and training scenarios that varied in attributes such as course delivery mode, financial support, and expected earnings impact.
The dataset is designed to provide a nuanced understanding of labour market dynamics, highlighting preferences for job training programs with a mix of practical and classroom learning, short course durations, and financial support. Respondents exhibited strong preferences for face-to-face learning and expressed a willingness to invest in training that promised substantial future earnings growth.
This dataset captures comprehensive data on employment preferences and the perceived effectiveness of assistance programs, offering valuable insights into strategies for enhancing labour market outcomes and designing effective re-employment initiatives
Wave 5 of the Longitudinal Survey of Retrenched Automotive Workers
No full textThis dataset presents the results of the Wave 5 of the Longitudinal Workers Survey of Retrenched Automotive Workers. Participants in our longitudinal workers survey had jobs which were earmarked for retrenchment leading up to the closure of assembly plants operated in Australia by General Motors Holden, Toyota Motor Company, and Ford. Participant contact information was passed on to the research team at the University of South Australia by the government partners of the project. Participants had provided consent for their details to be used for further communication as part of their engagement in retraining and transition services. All participants in Wave 5 had participated in the Wave 1 survey and in at least the Wave 2, 3 or 4 survey.
The study was developed to investigate the efficacy of private and public investments in pre-retrenchment counselling and training, by collecting data to help understand:
- Which factors affect decisions to exit or stay in the labour market;
- Which factors improve the chances of employment;
- Which factors shorten the spell of unemployment; and
- The intermittency of work careers and labour ‘branching’ processes
Wave 1 of the Longitudinal Workers Survey of Retrenched Automotive Workers
No full textThis dataset presents the results of the Wave 1 of the Longitudinal Workers Survey of Retrenched Workers. Participants in our longitudinal workers survey had jobs which were earmarked for retrenchment leading up to the closure of assembly plants operated in Australia by General Motors Holden, Toyota Motor Company, and Ford. Participant contact information was passed on to the research team at the University of South Australia by the government partners of the project. Participants had provided consent for their details to be used for further communication as part of their engagement in retraining and transition services.
The study was developed to investigate the efficacy of private and public investments in pre-retrenchment counselling and training, by collecting data to help understand:
- Which factors affect decisions to exit or stay in the labour market;
- Which factors improve the chances of employment;
- Which factors shorten the spell of unemployment; and
- The intermittency of work careers and labour ‘branching’ processes
Wave 4 of the Longitudinal Survey of Retrenched Automotive Workers
No full textThis dataset presents the results of the Wave 4 of the Longitudinal Workers Survey of Retrenched Automotive Workers. Participants in our longitudinal workers survey had jobs which were earmarked for retrenchment leading up to the closure of assembly plants operated in Australia by General Motors Holden, Toyota Motor Company, and Ford. Participant contact information was passed on to the research team at the University of South Australia by the government partners of the project. All participants in Wave 4 had participated in the Wave 1 survey and most in at least the Wave 2 or 3 survey.
The study was developed to investigate the efficacy of private and public investments in pre-retrenchment counselling and training, by collecting data to help understand: which factors affect decisions to exit or stay in the labour market; which factors improve the chances of employment; which factors shorten the spell of unemployment; and the intermittency of careers and labour branching processes
Wave 3 of the Longitudinal Survey of Retrenched Automotive Workers
No full textThis dataset presents the results of the Wave 3 of the Longitudinal Workers Survey of Retrenched Automotive Workers. Participants in our longitudinal workers survey had jobs which were earmarked for retrenchment leading up to the closure of assembly plants operated in Australia by General Motors Holden, Toyota Motor Company, and Ford. Participant contact information was passed on to the research team at the University of South Australia by the government partners of the project. Participants had provided consent for their details to be used for further communication as part of their engagement in retraining and transition services. All participants in Wave 3 had participated in the Wave 1 survey and most in Wave 2 of the survey.
The study was developed to investigate the efficacy of private and public investments in pre-retrenchment counselling and training, by collecting data to help understand:
- Which factors affect decisions to exit or stay in the labour market;
- Which factors improve the chances of employment;
- Which factors shorten the spell of unemployment; and
- The intermittency of work careers and labour ‘branching’ processes
Wave 2 of the Longitudinal Survey of Retrenched Automotive Workers
No full textThis dataset presents the results of the Wave 2 of the Longitudinal Workers Survey of Retrenched Workers. Participants in our longitudinal workers survey had jobs which were earmarked for retrenchment leading up to the closure of assembly plants operated in Australia by General Motors Holden, Toyota Motor Company, and Ford. Participant contact information was passed on to the research team at the University of South Australia by the government partners of the project. Participants had provided consent for their details to be used for further communication as part of their engagement in retraining and transition services. All participants in Wave 2 had participated in the Wave 1 survey.
The study was developed to investigate the efficacy of private and public investments in pre-retrenchment counselling and training, by collecting data to help understand:
- Which factors affect decisions to exit or stay in the labour market;
- Which factors improve the chances of employment;
- Which factors shorten the spell of unemployment; and
- The intermittency of work careers and labour ‘branching’ processes
Future Work Future Communities - Stream 4 - Community Survey
No full textLocal communities play a prominent role in bringing about appropriate responses to major shocks. This research surveys households in affected regions to ascertain the extent of indirect ‘knock-on’ impacts of the plant closures for households, as closures can create both negative and positive social impacts.
This includes families whose businesses were affected by the closures and impacts for community cohesion as people unite to rebuild their communities. The strength of local government, local leadership, geography, resource endowments and industry structure all serve as important mediating factors.
Uncertainties of the labour market give rise to feelings of helplessness, and affects the degree to which individuals look to governments or businesses to identify solutions.
This research examines the relationship between structural adjustment programs and political (dis)enfranchisement, and the degree to which individuals are aware of government assistance.
This dataset presents data collected from a 2021 Community Survey that includes perspectives from communities directly surrounding the automotive assembly plants that closed between 2016 and 2017 - Ford, Toyota, and General Motors Holden plants. It also includes the perspectives from the broader population of Melbourne and Adelaide where the assembly plants were located. This dataset includes community perspectives of leaders and leadership during periods of crisis (COVID-19) and economic restructuring (the automotive plant closures). In all, 1,755 responses were recorded
- …
