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Modelling of Agglomeration and Dispersion in RHOMOLO

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Abstract

The dynamic spatial general equilibrium model RHOMOLO with endogenous firm location incorporates multiple sources of agglomeration and dispersion. Agglomeration is driven mainly by increasing returns to scale and localised externalities; dispersion by costly trade and imperfect competition. In RHOMOLO, three mechanisms interact in determining the equilibrium spatial distribution of agents: capital mobility, labour mobility and vertical linkages as captured by costly input-output trade. While households choose their location based on real income differences, firms' spatial equilibrium is determined by the inter-regional equalisation of returns on capital. Illustrative simulation results suggest that in the EU labour mobility has the tendency to magnify the home market effect and the market access effect. In contrast, the market crowding effect seems to dominate the market access effect for capital mobility and vertical linkages. These results are in line with the theoretical literature, where the endogenous location mechanism of labour mobility contains two agglomeration forces and one dispersion force, whereas the endogenous location mechanisms of capital mobility and vertical linkages contain one agglomeration force and one dispersion force.

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  • Francesco Di Comite & dArtis Kancs, 2014. "Modelling of Agglomeration and Dispersion in RHOMOLO," JRC Research Reports JRC81349, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc81349
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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 Research Reports JRC96776, Joint Research Centre.
    3. Pavel Ciaian & d'Artis Kancs, 2015. "Assessing the Social and Macroeconomic Impacts of Labour Market Integration: A Holistic Approach," JRC Research Reports JRC99645, Joint Research Centre.
    4. 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.
    5. Filippo Di Pietro & Patrizio Lecca & Simone Salotti, 2021. "Regional economic resilience in the European Union: a numerical general equilibrium analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(3), pages 287-312, July.
    6. Juan Yin & Zhong Yang & Jin Guo, 2022. "Externalities of Urban Agglomerations: An Empirical Study of the Chinese Case," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    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. Francesco Di Comite & dArtis Kancs, 2015. "Macro-Economic Models for R&D and Innovation Policies," JRC Working Papers on Corporate R&D and Innovation 2015-03, Joint Research Centre.
    9. d'Artis Kancs & Patrizio Lecca, 2018. "Long‐term social, economic and fiscal effects of immigration into the EU: The role of the integration policy," The World Economy, Wiley Blackwell, vol. 41(10), pages 2599-2630, October.
    10. 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.
    11. Javier Barberoa & Olga Diukanovaa & Carlo Gianellea & Simone Salottia & Artur Santoalha, 2020. "Economic modelling to evaluate Smart Specialisation: an analysis on research and innovation targets in Southern Europe," Working Papers on Innovation Studies 20200525, Centre for Technology, Innovation and Culture, University of Oslo.
    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 Research Reports JRC100011, Joint Research Centre.
    13. Ioannis Charalampidis & Panagiotis Karkatsoulis & Pantelis Capros, 2019. "A Regional Economy-Energy-Transport Model of the EU for Assessing Decarbonization in Transport," Energies, MDPI, vol. 12(16), pages 1-27, August.
    14. Javier Barbero & Olga Diukanova & Carlo Gianelle & Simone Salotti & Artur Santoalha, 2022. "Economic modelling to evaluate Smart Specialisation: an analysis of research and innovation targets in Southern Europe," Regional Studies, Taylor & Francis Journals, vol. 56(9), pages 1496-1509, September.
    15. 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.
    16. Thisse, Jacques-François & Proost, Stef, 2015. "Skilled Cities, Regional Disparities, and Efficient Transport: The state of the art and a research agenda," CEPR Discussion Papers 10790, C.E.P.R. Discussion Papers.

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    More about this item

    Keywords

    New economic geography; endogenous location; agglomeration; dispersion; general equilibrium; economic modelling.;
    All these keywords.

    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
    • F1 - International Economics - - Trade
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • 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
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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