IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa10p412.html
   My bibliography  Save this paper

REGIONAL R&D&i PRODUCTIVITY IN EUROPE. IDENTIFYING REGIONAL TYPOLOGIES AND POLICY RECOMMENDATIONS

Author

Listed:
  • Ricardo AGUADO
  • Jabier MARTINEZ
  • Miguel Angel LARRINAGA

Abstract

Research, development and innovation activities have become key sources of competitive advantage, which is one of the main factors behind the wellbeing of citizens living in a given territory. Being aware of this fact, public administrations at different administrative levels have encouraged the production of innovations through different public policies. On the other hand, firms that invest in research, development and innovation usually obtain in the long and medium terms innovative products and services that allow them to compete in favorable conditions in the local and international markets. If we focus in Europe, regional disparities in the amount of innovation inputs on one side and in the amount of innovation outputs on the other side are very high. In this paper the authors will measure the productivity of research, development and innovation activities performed by all regions in the EU. In order to do so, the authors will take into account some indicators to measure innovation inputs and outputs (related to science, technology and also to collaboration among agents in innovation activities and wealth creation) at the regional level. Using the Data Envelopment Analysis (DEA) we will measure regional productivity in the field of R&D and innovation and we will compare this productivity outcome between regions in the EU. After explaining this first DEA model, we will use the main components analysis and then cluster analysis to achieve a typology of regions regarding their productivity in R&D and innovation activities. Once the typology of regions has been described and analyzed, the paper will end with some policy recommendations for each type of region, taking into account the regional innovation systems approach to innovation understanding and innovation policy. It may be possible to establish learning processes between different types of regions, taking into account the singularity and the unique mix of assets of each region.

Suggested Citation

  • Ricardo AGUADO & Jabier MARTINEZ & Miguel Angel LARRINAGA, 2011. "REGIONAL R&D&i PRODUCTIVITY IN EUROPE. IDENTIFYING REGIONAL TYPOLOGIES AND POLICY RECOMMENDATIONS," ERSA conference papers ersa10p412, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa10p412
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa10/ERSA2010finalpaper412.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter C. Smith & Andrew Street, 2005. "Measuring the efficiency of public services: the limits of analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 401-417, March.
    2. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    3. Kamien, Morton I & Schwartz, Nancy L, 1975. "Market Structure and Innovation: A Survey," Journal of Economic Literature, American Economic Association, vol. 13(1), pages 1-37, March.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Sunil Mani, 2002. "Government, Innovation and Technology Policy," Books, Edward Elgar Publishing, number 2688.
    6. Mikel Navarro & Juan José Gibaja & Beñat Bilbao-Osorio & Ricardo Aguado, 2009. "Patterns of Innovation in EU-25 Regions: A Typology and Policy Recommendations," Environment and Planning C, , vol. 27(5), pages 815-840, October.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Todtling, Franz & Trippl, Michaela, 2005. "One size fits all?: Towards a differentiated regional innovation policy approach," Research Policy, Elsevier, vol. 34(8), pages 1203-1219, October.
    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. Ricardo AGUADO & Jabier Martinez & Massimo Cermelli, 2013. "A dynamic analysis of regional R&D efficiency. The case of Italian and Spanish regions," ERSA conference papers ersa13p423, European Regional Science Association.
    2. Rosina Moreno & Ernest Miguélez, 2012. "A Relational Approach To The Geography Of Innovation: A Typology Of Regions," Journal of Economic Surveys, Wiley Blackwell, vol. 26(3), pages 492-516, July.
    3. Pengyu Ren & Zhaoxia Liu, 2021. "Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model," IJERPH, MDPI, vol. 18(20), pages 1-12, October.
    4. Sharon Hadad & Yossi Hadad & Tzahit Simon-Tuval, 2013. "Determinants of healthcare system’s efficiency in OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 253-265, April.
    5. Vitor Miguel Ribeiro & Celeste Varum & Ana Dias Daniel, 2021. "Introducing microeconomic foundation in data envelopment analysis: effects of the ex ante regulation principle on regional performance," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1215-1244, September.
    6. Roberto Ippoliti, 2015. "La riforma della geografia giudiziaria: efficienza tecnica e domanda di giustizia," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(2), pages 91-124.
    7. Mustafa Cem KIRANKABEŞ & Abdullah ERKUL, 2019. "Regional knowledge production in Central and East European countries: R&D factor productivity and changes in performances," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 25-44, June.
    8. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    9. Sehoon Kim, 2022. "A Global Entrepreneurship Efficiency Benchmarking and Comparison Study based on National Systems of Entrepreneurship and Early-Stage Business: A Data Envelopment Analysis Approach," SAGE Open, , vol. 12(3), pages 21582440221, September.
    10. José Manuel Cordero & Carlos Díaz Caro & Francisco Pedraja Chaparro & Cristina Polo Fernández, 2020. "Tributos cedidos y eficiencia en la gestión tributaria de las Comunidades Autónomas," Hacienda Pública Española / Review of Public Economics, IEF, vol. 232(1), pages 75-112, March.
    11. Karen Chapple & Cynthia Kroll & T. William Lester & Sergio Montero, 2011. "Innovation in the Green Economy: An Extension of the Regional Innovation System Model?," Economic Development Quarterly, , vol. 25(1), pages 5-25, February.
    12. Jianqiang Ye & Gaoxiang Guo & Kehong Yu & Yijuan Lu, 2023. "Allocation Efficiency of Public Sports Resources Based on the DEA Model in the Top 100 Economic Counties of China in Zhejiang Province," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    13. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    14. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    15. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    16. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    17. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    18. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    19. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    20. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.

    More about this item

    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:wiw:wiwrsa:ersa10p412. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.