{"title":"Breaking the divide: Can public spending on social infrastructure boost female employment in Italy?","authors":"Jelena Reljic , Francesco Zezza","doi":"10.1016/j.econmod.2024.106974","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the impact of public spending on social infrastructure — including education, healthcare, childcare and social assistance — on the gender employment gap in Italian regions over the last two decades. Using a Panel Structural Vector Autoregressive (P-SVAR) model, we assess how these investments, while not explicitly targeting women, may plausibly support female employment—potentially by reducing the extent of unpaid care work and by creating jobs in care sectors that predominantly employ women. Our findings show that social infrastructure spending has a positive and long-lasting effect on private investment, GDP and employment across all regions. However, a reduction in the gender employment gap is detected only in Southern Italy and is limited to high-skilled women. These results highlight the need for targeted policies to address regional disparities and promote a more inclusive labour market, particularly in the South, where underinvestment is most severe.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"143 ","pages":"Article 106974"},"PeriodicalIF":4.2000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999324003316","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the impact of public spending on social infrastructure — including education, healthcare, childcare and social assistance — on the gender employment gap in Italian regions over the last two decades. Using a Panel Structural Vector Autoregressive (P-SVAR) model, we assess how these investments, while not explicitly targeting women, may plausibly support female employment—potentially by reducing the extent of unpaid care work and by creating jobs in care sectors that predominantly employ women. Our findings show that social infrastructure spending has a positive and long-lasting effect on private investment, GDP and employment across all regions. However, a reduction in the gender employment gap is detected only in Southern Italy and is limited to high-skilled women. These results highlight the need for targeted policies to address regional disparities and promote a more inclusive labour market, particularly in the South, where underinvestment is most severe.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.