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The RHOMOLO economic impact assessment of the R&I and Low-Carbon ERDF Investment programme in Apulia, Italy

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In this note we present the economic impact assessment of the European Regional Development Fund (ERDF) for thematic objectives TO1 "Research and innovation" and TO4 "Low-carbon economy" in the region of Apulia, Italy. The results are based on the RHOMOLO-IO demand multiplier analysis and on computer simulations with the multi-regional dynamic computable general equilibrium (CGE) model RHOMOLO. The former approach is used to calculate the sector-specific output multipliers following a demand-side shock, while the CGE simulations provide evidence of significant spillover effects spreading beyond the Apulian borders and stimulating economic growth in other regions with significant trade links with Apulia. Our results suggest that a €536 million increase in demand for the Manufacturing & Construction sector would entail an increase in total value added of €329 million, which is roughly 0.46% of the regional GDP. The RHOMOLO simulations show that the effects of policy interventions reach their peak in the last years of ERDF programming period (2020-2022), when the absorption of investment funding is at its full potential. In 2022, T01 and T04 investments of the ERDF increase Apulian by 0.2% above the baseline GDP projections. Given the high import intensity of the region, only one fourth of the overall effect is driven by the direct investments and three fourths depend on the productivity improvements achieved as a result of the specific policy design. This demonstrates that the implementation of policies that are effective in raising productivity ensures long term economic benefits even in the absence of continuous funding.

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  • 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.
    • Handle: RePEc:ipt:termod:201804
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    1. Andries Brandsma & D'Artis Kancs, 2015. "RHOMOLO: A Dynamic General Equilibrium Modelling Approach to the Evaluation of the European Union's R&D Policies," Regional Studies, Taylor & Francis Journals, vol. 49(8), pages 1340-1359, August.
    2. Francesco Di Comite & Olga Diukanova & D'Artis Kancs, 2016. "RHOMOLO Model Manual: A Dynamic Spatial General Equilibrium Model for EU Regions and Sectors," JRC Research Reports JRC96776, Joint Research Centre.
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    5. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
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    7. Jean Mercenier & Maria Teresa Alvarez Martinez & Andries Brandsma & Francesco Di Comite & Olga Diukanova & d'Artis Kancs & Patrizio Lecca & Montserrat Lopez-Cobo & Philippe Monfort & Damiaan Persyn & , 2016. "RHOMOLO-v2 Model Description: A spatial computable general equilibrium model for EU regions and sectors," JRC Research Reports JRC100011, Joint Research Centre.
    8. Andries Brandsma & d'Artis Kancs & Philippe Monfort & Alexandra Rillaers, 2015. "RHOMOLO: A dynamic spatial general equilibrium model for assessing the impact of cohesion policy," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 197-221, November.
    9. Francesco Di Comite & Patrizio Lecca & Philippe Monfort & Damiaan Persyn & Violeta Piculescu, 2018. "The impact of Cohesion Policy 2007-2015 in EU regions: Simulations with the RHOMOLO Interregional Dynamic General Equilibrium Model," JRC Working Papers on Territorial Modelling and Analysis 2018-03, 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; smart specialisation; investment; impact assessment; modelling;
    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

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