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The impact of the European Social Fund: The RHOMOLO assessment

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Abstract

The ESF is Europe's main instrument for supporting jobs, helping people get better jobs and ensuring fairer job opportunities for all EU citizens. The ESF includes 4 different thematic objectives aimed at promoting sustainable employment, social inclusion, education and the efficiency of the public administration. Policy simulations using the RHOMOLO dynamic CGE model show positive aggregate macro-economic effects of the ESF policy intervention. The ESF stimulates GDP and employment via increases in labour productivity, education and training, and additional demand-side effects. RHOMOLO is able to quantify the impact of the ESF in the EU as a whole as well as in each one of the 267 NUTS 2 EU regions. Less developed regions reap most of the benefits of ESF policy intervention. By 2030, the cumulative GDP impact of the ESF is larger than its cost, that is the ESF generates more than one euro for each euro spent in it.

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  • Stylianos Sakkas & Andrea Conte & Simone Salotti, 2018. "The impact of the European Social Fund: The RHOMOLO assessment," JRC Research Reports JRC113328, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc113328
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    1. Stylianos Sakkas, 2018. "The macroeconomic implications of the European Social Fund: An impact assessment exercise using the RHOMOLO model," JRC Working Papers on Territorial Modelling and Analysis 2018-01, Joint Research Centre.
    2. Patrizio Lecca & Javier Barbero Jimenez & Martin Aaroe Christensen & Andrea Conte & Francesco Di Comite & Jorge Diaz-Lanchas & Olga Diukanova & Giovanni Mandras & Damiaan Persyn & Stylianos Sakkas, 2018. "RHOMOLO V3:A Spatial Modelling Framework," JRC Research Reports JRC111861, Joint Research Centre.
    3. Stylianos Sakkas & Andrea Conte & Simone Salotti, 2018. "The impact of the European Social Fund: The RHOMOLO assessment," JRC Research Reports JRC113328, Joint Research Centre.
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    1. Giovanni Mandras & Andrea Conte & Simone Salotti, 2019. "Coal regions in transition: the RHOMOLO-IO indirect jobs estimates," JRC Research Reports JRC118641, Joint Research Centre.
    2. Carlo Gianelle & Fabrizio Guzzo & Javier Barbero & Simone Salotti, 2022. "The economic implications of Smart Specialisation governance: a general equilibrium analysis for Italy 2014-2020," JRC Working Papers on Territorial Modelling and Analysis 2022-05, Joint Research Centre.
    3. Mark Thissen & Olga Ivanova & Giovanni Mandras & Trond Husby, 2019. "European NUTS 2 regions: construction of interregional trade-linked Supply and Use tables with consistent transport flows," JRC Working Papers on Territorial Modelling and Analysis 2019-01, Joint Research Centre.
    4. Christensen, Martin & Weiers, Georg & Wolski, Marcin, 2019. "The 2019 assessment of the macroeconomic effects of the European Fund for Strategic Investments with the RHOMOLO-EIB model," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 45, pages 5-15.
    5. Damiaan Persyn & Jorge Diaz-Lanchas & Javier Barbero & Andrea Conte & Simone Salotti, 2020. "A new dataset of distance and time related transport costs for EU regions," JRC Research Reports JRC119412, Joint Research Centre.
    6. Stylianos Sakkas & Andrea Conte & Simone Salotti, 2018. "The impact of the European Social Fund: The RHOMOLO assessment," JRC Research Reports JRC113328, Joint Research Centre.
    7. Martin Christensen & Andrea Conte & Filippo Di Pietro & Patrizio Lecca & Giovanni Mandras & Simone Salotti, 2018. "The third pillar of the Investment Plan for Europe: An impact assessment using the RHOMOLO model," JRC Working Papers on Territorial Modelling and Analysis 2018-02, Joint Research Centre.

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    Keywords

    rhomolo; growth; impact assessment; European social fund;
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