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


  • Damián Tojeiro-Rivero

    (AQR-IREA, University of Barcelona)

  • Rosina Moreno

    (AQR-IREA, University of Barcelona)


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

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    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. 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).
    8. Sung Hyo Hong, 2021. "Determinants of Selection of R&D Cooperation Partners: Insights from Korea," Sustainability, MDPI, vol. 13(17), pages 1-11, August.
    9. 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).
    10. Maciej Zastempowski, 2022. "What Shapes Innovation Capability in Micro-Enterprises? New-to-the-Market Product and Process Perspective," JOItmC, MDPI, vol. 8(1), pages 1-26, March.
    11. 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).
    12. 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.
    13. Corradini, Carlo & D'Ippolito, Beatrice, 2022. "Persistence and learning effects in design innovation: Evidence from panel data," Research Policy, Elsevier, vol. 51(2).
    14. 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.
    15. 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.
    16. 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.
    17. 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).

    More about this item


    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

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