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R&I and Low-carbon investment in Apulia, Italy: The RHOMOLO assessment

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Abstract

The European Cohesion Policy supports eleven thematic objectives. Four of these are key priorities for the European Regional Development Fund: Research and Innovation (R&I), Information and Communication Technologies (ICT), SME competitiveness, and Low-carbon economy. The European Commission's Joint Research Centre (JRC) is supporting Apulia, Italy, with the design and implementation of Regional Innovation Strategies for Smart Specialisation (RIS3). Quantitative tools such as the RHOMOLO model could help evaluate the impact of funding programmes in different policy areas across European regions. R&I and Low-Carbon ERDF Investments aim at generating sustainable growth and supporting the capacity of regional economies to innovate in line with the Energy Union strategy and the EU's transition to a low-carbon economy. Policy simulations using the RHOMOLO dynamic CGE model show positive macro-economic effects of the ERDF investments related to the R&I and Low-carbon thematic objectives in Apulia both within the region and in its neighbouring regions.

Suggested Citation

  • Olga Diukanova & Giovanni Mandras & Andrea Conte & Simone Salotti, 2018. "R&I and Low-carbon investment in Apulia, Italy: The RHOMOLO assessment," JRC Research Reports JRC115019, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc115019
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    1. Olga Diukanova & Giovanni Mandras & Andrea Conte & Simone Salotti, 2018. "R&I and Low-carbon investment in Apulia, Italy: The RHOMOLO assessment," JRC Research Reports JRC115019, Joint Research Centre.
    2. Francesco Di Comite & Olga Diukanova & Giovanni Mandras & Javier Gómez Prieto, 2018. "The RHOMOLO economic impact assessment of the R&I and Low-Carbon ERDF Investment programme in Apulia, Italy," JRC Working Papers on Territorial Modelling and Analysis 2018-04, Joint Research Centre.
    3. 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.
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    Cited by:

    1. Giovanni Mandras & Andrea Conte & Simone Salotti, 2019. "The RHOMOLO-IO modelling framework: a flexible Input-Output tool for policy analysis," JRC Working Papers on Territorial Modelling and Analysis 2019-06, Joint Research Centre.
    2. Patrizio Lecca & Simone Salotti & Andrea Conte, 2020. "The importance of studying inter-regional spillover effects of European policies: application of the RHOMOLO model for Poland," JRC Working Papers on Territorial Modelling and Analysis 2020-04, Joint Research Centre.
    3. Olga Diukanova & Giovanni Mandras & Andrea Conte & Simone Salotti, 2018. "R&I and Low-carbon investment in Apulia, Italy: The RHOMOLO assessment," JRC Research Reports JRC115019, Joint Research Centre.

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    More about this item

    Keywords

    rhomolo; region; growth; impact assessment; modelling; Apulia; Italy; Cohesion Policy; ERDF; investment;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies

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