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Regional Impacts of non-R&D Innovation Expenditures across the EU Regions: Simulation Results Using the Rhomolo CGE Model

Author

Listed:
  • Diukanova, Olga
  • López-Rodríguez, Jesús

    (European Commission, DG JRC-IPTS)

Abstract

In the EU, a sizable part of innovation is attributed to the activities other than R&D such as purchases of advanced machinery, licenses, patents and minor modifications in products or processes. These non-R&D innovation activities receive substantial funding from the European cohesion policy (ECP). In this paper we applied the dynamic spatial computable general equilibrium model RHOMOLO to evaluate the ex-ante short and long run economic impacts of 2014-2020 non-R&D innovation subsidies allocated to the EU27 NUTS2 regions. The results of computer simulations show that the most notable welfare improvements (GDP, production and household consumption) were observed in the Eastern EU regions that receive the largest share of funding. Such outcome is in line with the goals of the European Cohesion Policy of stimulating economic convergence of the least developed regions. As was expected, the magnitude of macroeconomic impacts positively correlates with the amount of non-R&D subsidies allotted to the regions.

Suggested Citation

  • Diukanova, Olga & López-Rodríguez, Jesús, 2014. "Regional Impacts of non-R&D Innovation Expenditures across the EU Regions: Simulation Results Using the Rhomolo CGE Model," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 29, pages 91-111.
    • Handle: RePEc:ris:invreg:0263
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    References listed on IDEAS

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    Cited by:

    1. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    2. Di Comite, Francesco & Potters, Lesley, 2014. "Modelling knowledge creation, investment decisions and economic growth in a spatial CGE setting," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 29, pages 47-75.
    3. R. Arbolino & R. Boffardi, 2017. "The Role of Regional Institutions in Research and Innovation Investments of Italy's Cohesion Policy," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 1-2, pages 167-192.
    4. Zhouyi Wu & Chuncao Wang & Bin He & Siying Yang, 2022. "State‐owned industrial enterprises' non‐R&D innovation and regional total factor productivity: An analysis based on the panel co‐integration method," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3338-3347, December.
    5. Brandsma, Andries & Di Comite, Francesco & Diukanova, Olga & Kancs, d’Artis & López-Rodríguez, Jesús & Persyn, Damiaan & Potters, Lesley, 2014. "Assessing policy options for the EU Cohesion Policy 2014-2020," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 29, pages 17-46.

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    More about this item

    Keywords

    Computable General Equilibrium Model; Innovation; European Union; Cohesion Policy;
    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
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • 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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