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Australian State/Territory : QLD
Socio-Economic Objective : Employment
Field of Research : Social Change
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  • Funded Activity

    Discovery Projects - Grant ID: DP0208305

    Funder
    Australian Research Council
    Funding Amount
    $247,500.00
    Summary
    Negotiating the Lifecourse: Changing and Maintaining Household and Labour Market Links. This study builds upon and extends a unique longitudinal Australian project concerned with the way in which men and women negotiate employment and domestic responsibilities over the lifecourse. We are seeking funds to collect a third wave of data from our sample and to extend the project in three key areas concerning the domestic division of labour, women's employment and marital stability, and family formati .... Negotiating the Lifecourse: Changing and Maintaining Household and Labour Market Links. This study builds upon and extends a unique longitudinal Australian project concerned with the way in which men and women negotiate employment and domestic responsibilities over the lifecourse. We are seeking funds to collect a third wave of data from our sample and to extend the project in three key areas concerning the domestic division of labour, women's employment and marital stability, and family formation. The significance of the project lies in its longitudinal design enabling us to address key social questions that have not been examined in Australia in the past. The project will deliver important information to policy-makers as well as providing a unique database for social researchers.
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    Funded Activity

    Discovery Projects - Grant ID: DP0878877

    Funder
    Australian Research Council
    Funding Amount
    $245,000.00
    Summary
    Understanding the Spatial and Social Drivers of Employment Transitions. This project reconsiders significant changes in the Australian labour market by utilising new conceptual tools based on temporal and spatial dimensions of productive activities and employment. The analysis provides an understanding of the socio-economic and spatial drivers of job and employment transitions and how they vary across Australia. The outcomes will be a new hierarchical model of labour market regions for assessin .... Understanding the Spatial and Social Drivers of Employment Transitions. This project reconsiders significant changes in the Australian labour market by utilising new conceptual tools based on temporal and spatial dimensions of productive activities and employment. The analysis provides an understanding of the socio-economic and spatial drivers of job and employment transitions and how they vary across Australia. The outcomes will be a new hierarchical model of labour market regions for assessing the social impact of employment transitions in regions, localities and remote areas providing evidence to inform region-specific policy. The innovative statistical methodology to enhance current analytical models of spatial variation in employment transitions will contribute significantly to international research.
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    Funded Activity

    Discovery Projects - Grant ID: DP0208102

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Spatially Integrated Socio-Economic Analysis: Australia at the New Millennium. A new spatially integrated approach is used to analyse and evaluate the divides in Australian society at the new millennium, drawing on perspectives from three key disciplines in the social sciences - economics, human geography and sociology. Pathbreaking microsimulation and GIS based spatial modelling techniques are used to generate new synthetic variables by integrating ABS Census and survey data to enhance the unde .... Spatially Integrated Socio-Economic Analysis: Australia at the New Millennium. A new spatially integrated approach is used to analyse and evaluate the divides in Australian society at the new millennium, drawing on perspectives from three key disciplines in the social sciences - economics, human geography and sociology. Pathbreaking microsimulation and GIS based spatial modelling techniques are used to generate new synthetic variables by integrating ABS Census and survey data to enhance the understanding of patterns and improve explanation of differential outcomes in the well-being of both people and places. The new decision support systems we develop will better inform policy responses to address distributional equity, efficiency and competitiveness.
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