How Do Non-Standard Work and Labour Market Policy Spending Shape Preferences for Training Versus Unemployment Benefits in Budgetary Trade-Offs?

  • Young-Kyu Shin*
  • , Teemu Kemppainen
  • , Zhen Jie Im
  • *Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

3 Downloads (Pure)

Abstract

This study investigates workers' preferences for expanding training and education at the cost of reducing unemployment benefits in the context of budgetary trade-offs. It focuses on non-standard employment types at the individual level and the ratios of expenditures on training and unemployment benefits within labour market policies (LMPs) at the county level. Analysing a dataset that combines European Social Survey Round 8 data (2016) with country-level data from the OECD for 19 European countries, the findings reveal that workers' preferences vary depending on employment type and LMP expenditure allocation. The analysis indicates that part-time permanent workers are more supportive of increasing training at the expense of unemployment benefits, while part-time temporary workers show less support. Full-time temporary employees and solo self-employed workers exhibit no significant differences from standard employees. From a comparative perspective, support for reallocating funds to training is lower in countries that dedicate a larger share of their LMP budget to training but higher in countries that spend more on unemployment benefits within their total LMP expenditure.
Original languageEnglish
JournalSocial Policy & Administration
Volume59
Issue number7
Pages (from-to)1253-1264
ISSN0144-5596
DOIs
Publication statusPublished - Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Budgetary trade-offs
  • Labour market policy
  • Non-standard employment
  • Public opinion
  • Training and education
  • Unemployment benefits

Cite this