IDEAS home Printed from https://ideas.repec.org/p/xrp/wpaper/xreap2007-08.html
   My bibliography  Save this paper

Innovation Sources and Productivity: A Quantile Regression Analysis

Author

Listed:
  • Agustí Segarra-Blasco

    (Grup de Recerca en Indústria i Territori(GRIT), Departament d'Economia, Universitat Rovira i Virgili.)

Abstract

This paper explores the effects of two main sources of innovation —intramural and external R&D— on the productivity level in a sample of 3,267 Catalan firms. The data set used is based on the official innovation survey of Catalonia which was a part of the Spanish sample of CIS4, covering the years 2002-2004. We compare empirical results by applying usual OLS and quantile regression techniques both in manufacturing and services industries. In quantile regression, results suggest different patterns at both innovation sources as we move across conditional quantiles. The elasticity of intramural R&D activities on productivity decreased when we move up the high productivity levels both in manufacturing and services sectors, while the effects of external R&D rise in high-technology industries but are more ambiguous in low-technology and services industries.

Suggested Citation

  • Agustí Segarra-Blasco, 2007. "Innovation Sources and Productivity: A Quantile Regression Analysis," Working Papers XREAP2007-08, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2007.
  • Handle: RePEc:xrp:wpaper:xreap2007-08
    as

    Download full text from publisher

    File URL: http://www.xreap.cat/RePEc/xrp/pdf/XREAP2007-08.pdf
    File Function: First version, 2007
    Download Restriction: no

    File URL: http://www.xreap.cat/RePEc/xrp/pdf/XREAP2007-08.pdf
    File Function: Revised version, 2007
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    2. Gorg, Holger & Strobl, Eric & Ruane, Frances, 2000. "Determinants of Firm Start-Up Size: An Application of Quantile Regression for Ireland," Small Business Economics, Springer, vol. 14(3), pages 211-222, May.
    3. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    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. Esther Goya & Esther Vayá & Jordi Suriñach, 2011. "Productivity and innovation spillovers: Micro evidence from Spain," IREA Working Papers 201126, University of Barcelona, Research Institute of Applied Economics, revised Dec 2011.
    2. Matas, Anna & Raymond, José-Luis & Roig, José-Luis, 2009. "Car ownership and access to jobs in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 607-617, July.
    3. Christian Durán Weitkamp & Mónica Martín Bofarull & Federico Pablo Martí, 2008. "Economic effects of road accessibility in the Pyrenees: user perspective," Working Papers XREAP2008-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Jan 2008.

    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. Segarra Blasco, Agustí & Teruel Carrizosa, Mercedes, 2008. "Innovation sources and productivity in Catalonian firms: a quantile regression analysis," Working Papers 2072/9259, Universitat Rovira i Virgili, Department of Economics.
    2. Mercedes Teruel & Agustí Segarra, 2011. "Productivity and R&D sources in manufacturing and service firms in Catalonia: a regional approach," ERSA conference papers ersa11p1860, European Regional Science Association.
    3. Teimuraz Gogokhia & George Berulava, 2021. "Business environment reforms, innovation and firm productivity in transition economies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 221-245, June.
    4. Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    5. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2014. "Innovation and Productivity in Services: Evidence from Germany, Ireland and the United Kingdom," JRC Working Papers on Corporate R&D and Innovation 2014-04, Joint Research Centre.
    6. Cimoli, Mario & Primi, Annalisa & Rovira, Sebastián, 2011. "National innovation surveys in latin America: empirical evidence and policy implications," Documentos de Proyectos 3897, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    7. Enrique López-Bazo & Elisabet Motellón, 2016. "“Innovation, heterogeneous firms, and the region”," AQR Working Papers 201607, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2016.
    8. Kiatipong Ariyapruchya & Cheerapan O-lanthanasate & Chatsurang Karnchanasai, 2006. "Strengthening the Competitiveness of Thai Firms: What Needs to be Done?," Working Papers 2006-03, Monetary Policy Group, Bank of Thailand.
    9. Andrea Vaona & Mario Pianta, 2008. "Firm Size and Innovation in European Manufacturing," Small Business Economics, Springer, vol. 30(3), pages 283-299, March.
    10. Rõigas, Kärt, 2011. "Linkage between productivity and innovation in different service sectors," Discourses in Social Market Economy 2011-02, OrdnungsPolitisches Portal (OPO).
    11. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.
    12. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    13. Mairesse, Jacques & Mohnen, Pierre, 2001. "To Be Or Not To Be Innovative: An Exercise In Measurement," Research Memorandum 038, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    14. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    15. de Rassenfosse, Gaétan & Schoen, Anja & Wastyn, Annelies, 2014. "Selection bias in innovation studies: A simple test," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 287-299.
    16. Christian Pfeifer & Joachim Wagner, 2014. "Is innovative firm behavior correlated with age and gender composition of the workforce? Evidence from a new type of data for German enterprises [Besteht ein Zusammenhang zwischen dem Innovationsve," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(3), pages 223-231, September.
    17. Ioannis Giotopoulos & Alexander S. Kritikos & Aggelos Tsakanikas, 2023. "A lasting crisis affects R&D decisions of smaller firms: the Greek experience," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1161-1175, August.
    18. Anabela Santos & Michele Cincera, 2022. "Determinants of financing constraints," Small Business Economics, Springer, vol. 58(3), pages 1427-1439, March.
    19. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    20. Alejandro García-Pozo & Juan Antonio Campos-Soria & J. Aníbal Núñez-Carrasco, 2021. "Technological innovation and productivity across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 167-187, August.

    More about this item

    Keywords

    Innovation sources; R&D; Productivity; Quantile Regression;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    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:xrp:wpaper:xreap2007-08. 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: XREAP (email available below). General contact details of provider: https://edirc.repec.org/data/xreapes.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.