IDEAS home Printed from https://ideas.repec.org/p/ipt/termod/202001.html
   My bibliography  Save this paper

Economic modelling to evaluate Smart Specialisation: an analysis on research and innovation targets in Southern Europe

Author

Listed:

Abstract

We make the case for a technology-enabled approach to Smart Specialisation policy making in order to foster its effectiveness by proposing a novel type of economic impact assessment. We use the RHOMOLO model to gauge empirically the general equilibrium effects implied by the Smart Specialisation logic of intervention as foreseen by the policy makers designing and implementing the European Cohesion policy. More specifically, we simulate the macroeconomic effects of achieving the R&D personnel targets planned by a set of Southern European regions. We discuss the implications of the proposed methodology for future assessments of Smart Specialisation.

Suggested Citation

  • Javier Barbero & Olga Diukanova & Carlo Gianelle & Simone Salotti & Artur Santoalha, 2020. "Economic modelling to evaluate Smart Specialisation: an analysis on research and innovation targets in Southern Europe," JRC Working Papers on Territorial Modelling and Analysis 2020-01, Joint Research Centre (Seville site).
  • Handle: RePEc:ipt:termod:202001
    as

    Download full text from publisher

    File URL: https://ec.europa.eu/jrc/sites/jrcsh/files/jrc120397.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Artur Santoalha, 2019. "New indicators of related diversification applied to smart specialization in European regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(4), pages 404-424, October.
    2. 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 Working Papers JRC111861, Joint Research Centre (Seville site).
    3. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    4. Hausmann, Ricardo & Rodrik, Dani, 2003. "Economic development as self-discovery," Journal of Development Economics, Elsevier, vol. 72(2), pages 603-633, December.
    5. Diego D’Adda & Enrico Guzzini & Donato Iacobucci & Roberto Palloni, 2019. "Is Smart Specialisation Strategy coherent with regional innovative capabilities?," Regional Studies, Taylor & Francis Journals, vol. 53(7), pages 1004-1016, July.
    6. Donato Iacobucci & Enrico Guzzini, 2016. "Relatedness and connectivity in technological domains: missing links in S3 design and implementation," European Planning Studies, Taylor & Francis Journals, vol. 24(8), pages 1511-1526, August.
    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 (Seville site).
    8. Patrizio Lecca & Martin Christensen & Andrea Conte & Giovanni Mandras & Simone Salotti, 2020. "Upward pressure on wages and the interregional trade spillover effects under demand‐side shocks," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 165-182, February.
    9. Carlo Gianelle & Fabrizio Guzzo & Krzysztof Mieszkowski, 2020. "Smart Specialisation: what gets lost in translation from concept to practice?," Regional Studies, Taylor & Francis Journals, vol. 54(10), pages 1377-1388, October.
    10. Dominique Foray, 2018. "Smart specialization strategies as a case of mission-oriented policy—a case study on the emergence of new policy practices," Industrial and Corporate Change, Oxford University Press, vol. 27(5), pages 817-832.
    11. Bart van Ark & Mary O'Mahoney & Marcel P. Timmer, 2008. "The Productivity Gap between Europe and the United States: Trends and Causes," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 25-44, Winter.
    12. Damiaan Persyn & Jorge Diaz-Lanchas & Javier Barbero, 2019. "Estimating road transport costs between EU regions," JRC Working Papers on Territorial Modelling and Analysis 2019-04, Joint Research Centre (Seville site).
    13. Pierre-Alexandre Balland & Ron Boschma & Joan Crespo & David L. Rigby, 2019. "Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification," Regional Studies, Taylor & Francis Journals, vol. 53(9), pages 1252-1268, September.
    14. Attila Varga & Tamás Sebestyén & Norbert Szabó & László Szerb, 2020. "Estimating the economic impacts of knowledge network and entrepreneurship development in smart specialization policy," Regional Studies, Taylor & Francis Journals, vol. 54(1), pages 48-59, January.
    15. Henning Kroll, 2015. "Efforts to Implement Smart Specialization in Practice--Leading Unlike Horses to the Water," European Planning Studies, Taylor & Francis Journals, vol. 23(10), pages 2079-2098, October.
    16. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    17. Christensen, Martin & Weiers, Georg & Wolski, Marcin, 2019. "The 2019 assessment of the macroeconomic effects of the European Fund for Strategic Investments with the RHOMOLO-EIB model," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 45, pages 5-15.
    18. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. László Szerb & Raquel Ortega‐Argilés & Zoltan J. Acs & Éva Komlósi, 2020. "Optimizing entrepreneurial development processes for smart specialization in the European Union," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1413-1457, October.
    3. E. Marrocu & R. Paci & D. Rigby & S. Usai, 2020. "Smart Specialization Strategy: any relatedness between theory and practice?," Working Paper CRENoS 202004, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    5. Valeria Cosmo, 2013. "Ownership, Scale Economies and Efficiency in the Italian Water Sector," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 399-415, September.
    6. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    7. Abdul-Salam, Yakubu & Phimister, Euan, 2015. "Efficiency Effects of Access to Information on Small Scale Agriculture: Empirical Evidence from Uganda," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204302, Agricultural Economics Society.
    8. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    9. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    10. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    11. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    12. Patrizio Lecca & Martin Christensen & Andrea Conte & Giovanni Mandras & Simone Salotti, 2020. "Upward pressure on wages and the interregional trade spillover effects under demand‐side shocks," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 165-182, February.
    13. Chih-Hai Yang & Ku-Hsieh Chen, 2009. "Are small firms less efficient?," Small Business Economics, Springer, vol. 32(4), pages 375-395, April.
    14. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    15. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    16. Jose L. Zofio & Jorge Diaz-Lanchas & Damiaan Persyn & Javier Barbero, 2020. "Estimating foreign and national trade elasticities in the EU internal market using Generalised Transport Costs," JRC Working Papers on Territorial Modelling and Analysis 2020-05, Joint Research Centre (Seville site).
    17. Robert Lensink & Aljar Meesters, 2014. "Institutions and Bank Performance: A Stochastic Frontier Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 67-92, February.
    18. Giovanni Marin & Alessandro Palma, 2015. "Technology Invention and Diffusion in Residential Energy Consumption. A Stochastic Frontier Approach," Working Papers 2015.104, Fondazione Eni Enrico Mattei.
    19. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    20. Agasisti, Tommaso & Barra, Cristian & Zotti, Roberto, 2016. "Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 47-58.

    More about this item

    Keywords

    Rhomolo; Region; Growth; Smart Specialisation; ex-ante policy impact assessment; CGE models; Cohesion policy.;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    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:202001. See general information about how to correct material in RePEc.

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

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.