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Subsidising silence: how policy ideas entrench Italy’s use of employment subsidies

Published online by Cambridge University Press:  23 April 2026

Roberto Rizza
Affiliation:
Department of Political and Social Sciences, University of Bologna, Italy
Dario Raspanti*
Affiliation:
Department of Political and Social Sciences, University of Florence, Italy
Francesco Albanese
Affiliation:
Department of Political and Social Sciences, University of Bologna, Italy
*
Corresponding author: Dario Raspanti; Email: dario.raspanti@unifi.it
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Abstract

Italy’s active labour market policy (ALMP) regime is marked by a paradox: despite limited investment in training, job placement services, and direct job creation, the country allocates above-average resources to employment subsidies. While this subsidy-heavy approach is often explained by the structure of Italy’s low-skill, low-productivity economy, this article proposes a complementary explanation grounded in political economy. We argue that the dominance of employment subsidies reflects the influence of a powerful discourse promoted by business interests, which frames excessive labour costs as the core challenge of the Italian labour market. This narrative has steered policy decisions towards cost-reduction strategies, crowding out more transformative measures aimed at human capital development. To unpack these dynamics, we employ a mixed-method research design combining qualitative and quantitative text analysis. We map stakeholder narratives in national media using Natural Language Processing techniques (BERTopic) and analyse parliamentary debates to identify ideational drivers. Our findings reveal how business-driven narratives have driven policy preferences towards employment subsidies. The article makes three main contributions. First, it situates employment subsidies within Italian ALMP. Second, it demonstrates how ideas structure labour market interventions. Third, it introduces an innovative methodological approach that integrates computational text analysis with traditional qualitative methods.

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Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Expenditure by ALMP programme (% GDP), average value 2009–2022.Source: Authors’ elaboration on DG-Employment data (lmp_expsumm database).

Figure 1

Figure 2. Expenditure in employment subsidies, Italy.Source: Authors’ elaboration on DG-Employment data.

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Table 1. Summary of the analytical process and datasets used in the study

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Figure 3. BERTopic output on ‘labour costs’. Outliers are excluded. Refer to the Online Supplementary Material for the complete output.

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Figure 4. BERTopic output on ‘active labour market policy’.

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Table A1. List of employment subsidies in Italy since the 1970s

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Figure B1. Hyperparameter combinations and their impact on metrics (Active Labour Market Policy Dataset).

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Figure B2. Hyperparameter combinations and their impact on metrics (Labour Cost Dataset).

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Table B1. Top three configuration results for the active labour market policy dataset (ordered by coherence NPMI)

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Table B2. Top three configuration results for the labour cost dataset (ordered by coherence NPMI)

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Table B3. BERTopic output: Labour cost dataset

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Table B4. BERTopic output: Active labour market policy dataset

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