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Rhomolo: A Dynamic Spatial General Equilibrium Model for Assessing the Impact of Cohesion Policy

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Abstract

The paper presents the newly developed dynamic spatial general equilibrium model of European Commission - RHOMOLO, in which the interplay of agglomeration and dispersion forces can be analysed in a novel and theoretically consistent way. A particular attention is paid to flows of goods, factors and services within and between regions that are generated by the stimulus to the regions. This will allow an assessment of the feedback to the Member States and regions and the possibility that in the longer run they will all benefit from the additional growth that is generated. In doing so, it sheds new light on how the success of cohesion policy can be measured.

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  • Andries Brandsma & d’Artis Kancs & Philippe Monfort & Alexandra Rillaers, 2013. "Rhomolo: A Dynamic Spatial General Equilibrium Model for Assessing the Impact of Cohesion Policy," JRC Working Papers JRC81133, Joint Research Centre (Seville site).
  • Handle: RePEc:ipt:iptwpa:jrc81133
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    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 Working Papers JRC96776, Joint Research Centre (Seville site).
    3. Persyn, Damiaan & Brandsma, Andries & Kancs, d’Artis, 2014. "Modelling Migration and Regional Labour Markets: an Application of the New Economic Geography Model RHOMOLO," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 29, pages 372-407.
    4. Pavel Ciaian & d’Artis Kancs, 2015. "Assessing the Social and Macroeconomic Impacts of Labour Market Integration: A Holistic Approach," JRC Working Papers JRC99645, Joint Research Centre (Seville site).
    5. López-Rodríguez, Jesús & Faíña, Andrés, 2014. "Rhomolo and other methodologies to assess The European Cohesion Policy," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 29, pages 5-13.
    6. MARCU Nicu & DOBROTA Carmen - Elena, 2016. "The Economic Impact Of The Cohesion Policy," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 68(3), pages 74-93, December.
    7. Olga Ivanova & d'Artis Kancs & Dirk Stelder, 2009. "Modelling Inter-Regional Trade Flows: Data and Methodological Issues in Rhomolo," EERI Research Paper Series EERI RP 2009/31, Economics and Econometrics Research Institute (EERI), Brussels.
    8. 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.
    9. Francesco Di Comite & D'Artis Kancs, 2015. "Macro-Economic Models for R&D and Innovation Policies - A Comparison of QUEST, RHOMOLO, GEM-E3 and NEMESIS," JRC Working Papers JRC94323, Joint Research Centre (Seville site).
    10. Andries Brandsma & d'Artis Kancs & Pavel Ciaian, 2013. "The Role of Additionality in the EU Cohesion Policies: An Example of Firm-Level Investment Support," European Planning Studies, Taylor & Francis Journals, vol. 21(6), pages 838-853, June.
    11. Christoph Hammer & Aurélien Fichet de Clairfontaine, 2016. "Trade Costs and Income in European Regions," Department of Economics Working Papers wuwp220, Vienna University of Economics and Business, Department of Economics.
    12. 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 Working Papers JRC100011, Joint Research Centre (Seville site).
    13. 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.
    14. Dirk Stelder, 2016. "Regional Accessibility Trends in Europe: Road Infrastructure, 1957-2012," Regional Studies, Taylor & Francis Journals, vol. 50(6), pages 983-995, June.
    15. D'Artis Kancs & Enrique Lopez-Bazo & Fabio Manca & Damiaan Persyn, 2012. "Modelling Migration and Regional Labour Markets: An Application of New Economic Geography Model Rhomolo," ERSA conference papers ersa12p808, European Regional Science Association.
    16. 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.
    17. Francesco Di Comite & d’Artis Kancs, 2014. "Modelling of Agglomeration and Dispersion in RHOMOLO," JRC Working Papers JRC81349, Joint Research Centre (Seville site).
    18. d'Artis Kancs & Patrizio Lecca, 2016. "Long-term social, economic and fiscal effects of immigration into the EU: The role of the integration policy," EERI Research Paper Series EERI RP 2016/08, Economics and Econometrics Research Institute (EERI), Brussels.
    19. repec:eee:ecmode:v:67:y:2017:i:c:p:159-174 is not listed on IDEAS
    20. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2017. "Does EU Cohesion Policy Work? Theory and Evidence," Discussion Papers 2017/217, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    21. Lesley Potters & Andrea Conte & d'Artis Kancs & Mark Thissen, 2013. "Data Needs for Regional Modelling: A Description of the Data used in Support of RHOMOLO," JRC Working Papers JRC80845, Joint Research Centre (Seville site).

    More about this item

    Keywords

    Economic modelling; spatial dynamics; policy impact assessment; regional development; economic geography; spatial equilibrium; DSGE.;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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