IDEAS home Printed from https://ideas.repec.org/p/aqr/wpaper/201903.html
   My bibliography  Save this paper

“Technological cooperation and R&D outsourcing at the rm level: The role of the regional context”

Author

Listed:
  • Damián Tojeiro-Rivero

    (AQR-IREA, University of Barcelona)

  • Rosina Moreno

    (AQR-IREA, University of Barcelona)

Abstract

Much has been said about the role that technological networking activities play on the innovative performance of rms, but little is known about the relevance of the context where the rm is locate shaping the eciency of such networking activities. In this article we hypothesize that the transformation of rms' networking activities into innovation may vary depending on the regional environment in which the rm is located. For Spanish manufactures in the period 2000-12 and through the use of a multilevel framework, we obtain that after controlling for the rm's characteristics, the regional context has not only a direct eect on rms' innovation performance, but it also conditions the returns to rms' networking activities, although dierently in the case of cooperation and outsourcing. Cooperating in innovation activities is more benecial for those rms located in a knowledge intensive region, whereas R&D outsourcing seems to be more protable for rms in regions with a low knowledge pool.

Suggested Citation

  • Damián Tojeiro-Rivero & Rosina Moreno, 2019. "“Technological cooperation and R&D outsourcing at the rm level: The role of the regional context”," AQR Working Papers 201903, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2019.
    • Handle: RePEc:aqr:wpaper:201903
    as

    Download full text from publisher

    File URL: http://www.ub.edu/irea/working_papers/2019/201904.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. María Jesús Rodríguez-Gulías & David Rodeiro-Pazos & Sara Fernández-López & Manuel Ángel Nogueira-Moreiras, 2021. "The effect of regional resources on innovation: a firm-centered approach," The Journal of Technology Transfer, Springer, vol. 46(3), pages 760-791, June.
    2. Mashiho Mihalache & Oli Mihalache & Jan Ende, 2021. "International Diversification and MNE Innovativeness: A Contingency Perspective of Foreign Subsidiary Portfolio Characteristics," Management International Review, Springer, vol. 61(6), pages 769-798, December.
    3. Marina Papanastassiou & Robert Pearce & Antonello Zanfei, 2020. "Changing perspectives on the internationalization of R&D and innovation by multinational enterprises: A review of the literature," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(4), pages 623-664, June.
    4. Tubiana, Matteo & Miguelez, Ernest & Moreno, Rosina, 2022. "In knowledge we trust: Learning-by-interacting and the productivity of inventors," Research Policy, Elsevier, vol. 51(1).
    5. Lara Abdel Fattah & Giuseppe Arcuri & Aziza Garsaa & Nadine Levratto, 2020. "Firm financial soundness and knowledge externalities: A comparative regional analysis," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1459-1486, October.
    6. Ana Fernández & Esther Ferrándiz & M. Dolores León, 2021. "Are organizational and economic proximity driving factors of scientific collaboration? Evidence from Spanish universities, 2001–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 579-602, January.
    7. Wang, Xinyi & Zeng, Deming & Dai, Haiwen & Zhu, You, 2020. "Making the right business decision: Forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    8. Rodgers, Waymond & Degbey, William Y. & Söderbom, Arne & Leijon, Svante, 2022. "Leveraging international R&D teams of portfolio entrepreneurs and management controllers to innovate: Implications of algorithmic decision-making," Journal of Business Research, Elsevier, vol. 140(C), pages 232-244.
    9. Corradini, Carlo & D'Ippolito, Beatrice, 2022. "Persistence and learning effects in design innovation: Evidence from panel data," Research Policy, Elsevier, vol. 51(2).
    10. Xincheng Wang & Jide Sun & Longwei Tian & Wenjia Guo & Tianyu Gu, 2021. "Environmental dynamism and cooperative innovation: the moderating role of state ownership and institutional development," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1344-1375, October.
    11. Aronica, Martina & Fazio, Giorgio & Piacentino, Davide, 2022. "A micro-founded approach to regional innovation in Italy," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    13. Ricardo S. Santos & Jose Soares & Pedro Carmona Marques & Helena V. G. Navas & José Moleiro Martins, 2021. "Integrating Business, Social, and Environmental Goals in Open Innovation through Partner Selection," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    14. Sung Hyo Hong, 2021. "Determinants of Selection of R&D Cooperation Partners: Insights from Korea," Sustainability, MDPI, vol. 13(17), pages 1-11, August.
    15. Figueiredo, Paulo N. & Cabral, Bernardo P. & Silva, Felipe Q., 2021. "Intricacies of firm-level innovation performance: An empirical analysis of latecomer process industries," Technovation, Elsevier, vol. 105(C).
    16. Garrido-Prada, Pablo & Lenihan, Helena & Doran, Justin & Rammer, Christian & Perez-Alaniz, Mauricio, 2021. "Driving the circular economy through public environmental and energy R&D: Evidence from SMEs in the European Union," Ecological Economics, Elsevier, vol. 182(C).

    More about this item

    Keywords

    Technological cooperation; R&D Outsourcing; Local Knowledge Spillovers; Multilevel; Panel data; Spanish Firms; Manufactures JEL classification: D21; D22; O31; R10; R15;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D2 - Microeconomics - - Production and Organizations

    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:aqr:wpaper:201903. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Bibiana Barnadas (email available below). General contact details of provider: https://edirc.repec.org/data/aqrubes.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.