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Innovation strategies, external knowledge and productivity growth

Author

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  • Christopher F Baum
  • Hans Lööf
  • Pardis Nabavi

Abstract

This paper studies firms′ capability to recombine internal and local knowledge. It measures the outcome in terms of total productivity growth. Using Swedish data on commuting time for face-to-face contacts across all 290 municipalities, we employ a time-sensitive approach for calculating localized knowledge within a municipality and and its close neighbors. Internal knowledge is captured by register data on firms’ innovation intensity. The two sources of knowledge are modeled in a production function setting by discrete composite variables with different combinations of input factors. Applying the model on Swedish firm level panel data, we find strong evidence of differences in the capacity to benefit from external knowledge among persistent innovators, temporary innovators and non-innovators. The results are consistent regardless of whether innovation efforts are measured in terms of the frequency of patent applications or the level of R&D investment.

Suggested Citation

  • Christopher F Baum & Hans Lööf & Pardis Nabavi, 2019. "Innovation strategies, external knowledge and productivity growth," Industry and Innovation, Taylor & Francis Journals, vol. 26(3), pages 348-367, March.
  • Handle: RePEc:taf:indinn:v:26:y:2019:i:3:p:348-367
    DOI: 10.1080/13662716.2018.1499502
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    Cited by:

    1. Angel-Luis Meroño-Cerdan & Francisco-Jose Molina-Castillo & Carolina Lopez-Nicolas & Jesus Ruiz-Nicolas, 2024. "Growth and Performance: Business Model Innovation in Family Firms," Businesses, MDPI, vol. 4(2), pages 1-14, June.
    2. Febi Jensen & Hans Lööf & Andreas Stephan, 2020. "New ventures in Cleantech: Opportunities, capabilities and innovation outcomes," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 902-917, March.
    3. Natália Barbosa & Ana Paula Faria, 2023. "Science and productivity in European Firms: How do regional innovation modes matter?," GEE Papers 0175, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2023.
    4. Hans Lööf & Pardis Nabavi, 2015. "Knowledge spillovers, productivity and patent," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 249-263, October.
    5. Pires, Rui Alexandre R. & Ferreira, João J., 2025. "Bridging innovation strategies and intellectual property: A systematic review-based conceptual framework and a roadmap for future research," Technovation, Elsevier, vol. 144(C).
    6. Thanh Dinh Su & Canh Phuc Nguyen, 2022. "Productive Contribution of Public Spending and Human Capital in Developing Countries Revisited: The Role of Trade Openness," Foreign Trade Review, , vol. 57(1), pages 66-84, February.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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