[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ipt/termod/201906.html
   My bibliography  Save this paper

The RHOMOLO-IO modelling framework: a flexible Input-Output tool for policy analysis

Author

Abstract
This Technical Report describes the features of the RHOMOLO-IO model and demonstrates its flexibility by showing a number of recent policy-relevant applications for which it has been used. Such applications include, for instance, the study of the European Globalisation Fund, of four TEN-T investment projects, of the European research and innovation regional funds, and of regulatory proposals on the energy union in the EU. The paper contains traditional input-output multipliers analyses applied to output, GDP, and employment, as well as consumption redistribution and trade analyses. The flexibility of the RHOMOLO-IO framework makes it useful for a wide range of policy-relevant studies and makes it a perfect complement to the spatial computable general equilibrium RHOMOLO.

Suggested Citation

  • 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.
    • Handle: RePEc:ipt:termod:201906
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC117725
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    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. Iñaki Arto & José Manuel Rueda-Cantuche & Antonio F. Amores & Erik Dietzenbacher & Nuno Sousa & Letizia Montinari & Anil Markandya, 2015. "EU Exports to the World: Effects on Employment and Income," JRC Research Reports JRC93237, Joint Research Centre.
    4. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    5. Inaki Arto & Jose M. Rueda-Cantuche & Ignacio Cazcarro & Antonio F. Amores & Erik Dietzenbacher & M. Victoria Roman & Zornitsa Kutlina-Dimitrova, 2018. "EU exports to the world: Effects on employment," JRC Research Reports JRC113071, Joint Research Centre.
    6. Lecca, Patrizio & McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2014. "The added value from a general equilibrium analysis of increased efficiency in household energy use," Ecological Economics, Elsevier, vol. 100(C), pages 51-62.
    7. Mark Thissen & Olga Ivanova & Giovanni Mandras & Trond Husby, 2019. "European NUTS 2 regions: construction of interregional trade-linked Supply and Use tables with consistent transport flows," JRC Working Papers on Territorial Modelling and Analysis 2019-01, Joint Research Centre.
    8. Hummels, David & Ishii, Jun & Yi, Kei-Mu, 2001. "The nature and growth of vertical specialization in world trade," Journal of International Economics, Elsevier, vol. 54(1), pages 75-96, June.
    9. 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.
    10. Martin Christensen & Andrea Conte & Filippo Di Pietro & Patrizio Lecca & Giovanni Mandras & Simone Salotti, 2018. "The third pillar of the Investment Plan for Europe: An impact assessment using the RHOMOLO model," JRC Working Papers on Territorial Modelling and Analysis 2018-02, Joint Research Centre.
    11. 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.
    12. Charles I. Jones, 2011. "Misallocation, Economic Growth, and Input-Output Economics," NBER Working Papers 16742, National Bureau of Economic Research, Inc.
    13. Johnson, Robert C. & Noguera, Guillermo, 2012. "Accounting for intermediates: Production sharing and trade in value added," Journal of International Economics, Elsevier, vol. 86(2), pages 224-236.
    14. Ronald E. Miller, 1966. "Interregional Feedback Effects In Input‐Output Models: Some Preliminary Results," Papers in Regional Science, Wiley Blackwell, vol. 17(1), pages 105-125, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francesco Di Comite & Giovanni Mandras & Stylianos Sakkas, 2019. "The impact of the Grand Paris Express on the European regions: a RHOMOLO analysis," JRC Working Papers on Territorial Modelling and Analysis 2019-08, Joint Research Centre.
    2. Thomas von Brasch & Ådne Cappelen & Håvard Hungnes & Terje Skjerpen, 2020. "Modeling R&D spillovers to productivity. The effects of tax policy," Discussion Papers 927, Statistics Norway, Research Department.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Inaki Arto & Erik Dietzenbacher & Jose Manuel Rueda-Cantuche, 2019. "Measuring bilateral trade in terms of value added," JRC Research Reports JRC116694, Joint Research Centre.
    2. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    3. Takeshi Yagihashi & David D. Selover, 2017. "How Do the Trans-Pacific Economies Affect the USA? An Industrial Sector Approach," The World Economy, Wiley Blackwell, vol. 40(10), pages 2097-2124, October.
    4. Hadrien Camatte & Guillaume Daudin & Violaine Faubert & Antoine Lalliard & Christine Rifflart, 2021. "Global value chains and the transmission of exchange rate shocks to consumer prices," Working Papers hal-03374355, HAL.
    5. 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.
    6. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2020. "Wage response to global production links: evidence for workers from 28 European countries (2005–2014)," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(4), pages 769-801, November.
    7. Kaltenegger, Oliver & Löschel, Andreas & Pothen, Frank, 2017. "The effect of globalisation on energy footprints: Disentangling the links of global value chains," Energy Economics, Elsevier, vol. 68(S1), pages 148-168.
    8. Garbellini, Nadia, 2021. "International trade as a process of choice of technique," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 42-50.
    9. Álvaro Lalanne, 2021. "Measuring value circulation in regional chains: assessing two alternative methods in South America," Documentos de Trabajo (working papers) 0621, Department of Economics - dECON.
    10. Pleticha, Petr, 2021. "Who Benefits from Global Value Chain Participation? Does Functional Specialization Matter?," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 291-299.
    11. Arne J. Nagengast & Robert Stehrer, 2016. "The Great Collapse in Value Added Trade," Review of International Economics, Wiley Blackwell, vol. 24(2), pages 392-421, May.
    12. Michele Mancini & Pierluigi Montalbano & Silvia Nenci & Davide Vurchio, 2023. "Positioning in Global Value Chains: World Map and Indicators. A new dataset available for GVC analyses," Working Papers 3/23, Sapienza University of Rome, DISS.
    13. Reshef, Ariell & Santoni, Gianluca, 2023. "Are your labor shares set in Beijing? The view through the lens of global value chains," European Economic Review, Elsevier, vol. 155(C).
    14. Shen, Leilei & Silva, Peri, 2018. "Value-added exports and U.S. local labor markets: Does China really matter?," European Economic Review, Elsevier, vol. 101(C), pages 479-504.
    15. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 93229, University Library of Munich, Germany.
    16. João Amador & Sónia Cabral & Rossana Mastrandrea & Franco Ruzzenenti, 2018. "Who’s Who in Global Value Chains? A Weighted Network Approach," Open Economies Review, Springer, vol. 29(5), pages 1039-1059, November.
    17. Biswajit Banerjee & Juraj Zeman, 2020. "Determinants of Global Value Chain Participation: Cross-country Analysis," Working and Discussion Papers WP 1/2020, Research Department, National Bank of Slovakia.
    18. Carlo Altomonte & Laura Bonacorsi & Italo Colantobe, 2018. "Trade and Growth in the Age of Global Value Chains," BAFFI CAREFIN Working Papers 1897, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    19. Amat Adarov & Robert Stehrer, 2021. "Implications of foreign direct investment, capital formation and its structure for global value chains," The World Economy, Wiley Blackwell, vol. 44(11), pages 3246-3299, November.
    20. Pol Antràs & Alonso de Gortari, 2020. "On the Geography of Global Value Chains," Econometrica, Econometric Society, vol. 88(4), pages 1553-1598, July.

    More about this item

    Keywords

    rhomolo; region; growth; input output; multipliers;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:termod:201906. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.