IDEAS home Printed from https://ideas.repec.org/p/egu/wpaper/1926.html
   My bibliography  Save this paper

Multidimensional relatedness between innovation systems in sustainability transitions

Author

Listed:
  • Tuukka Mäkitie
  • Allan D. Andersen
  • Jens Hanson

Abstract

Recent literature in sustainability transition studies has suggested that established industries may provide resources for innovation in low-carbon technologies. This literature, however, has this far not explained why such resource redeployment takes place. Literature in evolutionary economic geography and management studies, however, have discussed such interactions through the notion of relatedness as an underlying factor. Drawing on these literatures we develop an integrated framework for the analysis of multidimensional relatedness between innovation systems in the context of sustainability transitions. Using semi-structured interviews, we study the technological, institutional and network relatedness between the oil and gas industry and the offshore wind power technology in Norway. Our results show that despite the high relatedness in offshore technologies, low relatedness in terms of institutions has challenged the resource redeployment from the Norwegian oil and gas industry to offshore wind power. We thus suggest that relatedness, understood in multiple structural dimensions, can help to understand why resource redeployment from established industries to technological innovation systems may, or may not, take place.

Suggested Citation

  • Tuukka Mäkitie & Allan D. Andersen & Jens Hanson, 2019. "Multidimensional relatedness between innovation systems in sustainability transitions," Papers in Evolutionary Economic Geography (PEEG) 1926, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2019.
  • Handle: RePEc:egu:wpaper:1926
    as

    Download full text from publisher

    File URL: http://econ.geo.uu.nl/peeg/peeg1926.pdf
    File Function: Version September 2019
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ranjay Gulati, 1999. "Network location and learning: the influence of network resources and firm capabilities on alliance formation," Strategic Management Journal, Wiley Blackwell, vol. 20(5), pages 397-420, May.
    2. Mäkitie, Tuukka & Normann, Håkon E. & Thune, Taran M. & Sraml Gonzalez, Jakoba, 2019. "The green flings: Norwegian oil and gas industry’s engagement in offshore wind power," Energy Policy, Elsevier, vol. 127(C), pages 269-279.
    3. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    4. Smith, Adrian & Raven, Rob, 2012. "What is protective space? Reconsidering niches in transitions to sustainability," Research Policy, Elsevier, vol. 41(6), pages 1025-1036.
    5. Koen Frenken & Ron A. Boschma, 2007. "A theoretical framework for evolutionary economic geography: industrial dynamics and urban growth as a branching process," Journal of Economic Geography, Oxford University Press, vol. 7(5), pages 635-649, September.
    6. Allan Dahl Andersen & Olav Wicken, 2016. "Natural resource knowledge idiosyncrasy, innovation, industry dynamics, and sustainability," Working Papers on Innovation Studies 20161107, Centre for Technology, Innovation and Culture, University of Oslo.
    7. Jeroen Content & Koen Frenken, 2016. "Related variety and economic development: a literature review," European Planning Studies, Taylor & Francis Journals, vol. 24(12), pages 2097-2112, December.
    8. Markard, Jochen & Truffer, Bernhard, 2008. "Technological innovation systems and the multi-level perspective: Towards an integrated framework," Research Policy, Elsevier, vol. 37(4), pages 596-615, May.
    9. Jaideep Anand & Harbir Singh, 1997. "Asset Redeployment, Acquisitions And Corporate Strategy In Declining Industries," Strategic Management Journal, Wiley Blackwell, vol. 18(S1), pages 99-118, July.
    10. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    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. Ron Boschma, 2017. "Relatedness as driver behind regional diversification: a research agenda," Papers in Evolutionary Economic Geography (PEEG) 1702, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2017.
    2. Alessandra Colombelli & Francesco Quatraro, 2013. "New Firm Formation and the properties of local knowledge bases: Evidence from Italian NUTS 3 regions," Working Papers hal-00858989, HAL.
    3. Alexandra Frangenheim & Michaela Trippl & Camilla Chlebna, 2018. "Beyond the 'single path view': Inter-path relationships in regional contexts," PEGIS geo-disc-2018_06, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.
    4. Dahesh, Mehran Badin & Tabarsa, Gholamali & Zandieh, Mostafa & Hamidizadeh, Mohammadreza, 2020. "Reviewing the intellectual structure and evolution of the innovation systems approach: A social network analysis," Technology in Society, Elsevier, vol. 63(C).
    5. Ye Jin Lee & Kwangsoo Shin & Eungdo Kim, 2019. "The Influence of a Firm’s Capability and Dyadic Relationship of the Knowledge Base on Ambidextrous Innovation in Biopharmaceutical M&As," Sustainability, MDPI, Open Access Journal, vol. 11(18), pages 1-17, September.
    6. Ron Boschma & Ron Martin, 2010. "The Aims and Scope of Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 1, Edward Elgar Publishing.
    7. Partanen, Jukka & Kohtamäki, Marko & Patel, Pankaj C. & Parida, Vinit, 2020. "Supply chain ambidexterity and manufacturing SME performance: The moderating roles of network capability and strategic information flow," International Journal of Production Economics, Elsevier, vol. 221(C).
    8. Sungho Son & Nam-Wook Cho, 2020. "Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence," Sustainability, MDPI, Open Access Journal, vol. 12(21), pages 1-19, October.
    9. Krafft Jackie & Quatraro Francesco & Colombelli Alessandra, 2011. "High Growth Firms and Technological Knowledge: Do gazelles follow exploration or exploitation strategies?," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201114, University of Turin.
    10. Hellsmark, Hans & Frishammar, Johan & Söderholm, Patrik & Ylinenpää, Håkan, 2016. "The role of pilot and demonstration plants in technology development and innovation policy," Research Policy, Elsevier, vol. 45(9), pages 1743-1761.
    11. Gupeng Zhang & Xiao Wang & Hongbo Duan, 2020. "Obscure but important: examining the indirect effects of alliance networks in exploratory and exploitative innovation paradigms," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1745-1764, September.
    12. Kroll Henning & Neuhäusler Peter, 2020. "Recent Trends of Regional Development in China – Technological Portfolios and Economic Growth," Zeitschrift für Wirtschaftsgeographie, De Gruyter, vol. 64(1), pages 14-27, March.
    13. Moaniba, Igam M. & Su, Hsin-Ning & Lee, Pei-Chun, 2019. "On the drivers of innovation: Does the co-evolution of technological diversification and international collaboration matter?," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    14. Bart Leten & Rene Belderbos & Bart Van Looy, 2016. "Entry and Technological Performance in New Technology Domains: Technological Opportunities, Technology Competition and Technological Relatedness," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1257-1291, December.
    15. Andersen, Allan Dahl & Markard, Jochen, 2020. "Multi-technology interaction in socio-technical transitions: How recent dynamics in HVDC technology can inform transition theories," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    16. Lars Mewes & Tom Broekel, 2020. "Subsidized to change? The impact of R&D policy on regional technological diversification," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(1), pages 221-252, August.
    17. Befort, N., 2020. "Going beyond definitions to understand tensions within the bioeconomy: The contribution of sociotechnical regimes to contested fields," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    18. Russo, Angeloantonio & Vurro, Clodia & Nag, Rajiv, 2019. "To have or to be? The interplay between knowledge structure and market identity in knowledge-based alliance formation," Research Policy, Elsevier, vol. 48(3), pages 571-583.
    19. Konstantinos Karanasios & Paul Parker, 2018. "Explaining the Diffusion of Renewable Electricity Technologies in Canadian Remote Indigenous Communities through the Technological Innovation System Approach," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-28, October.
    20. Silvestri, Daniela & Riccaboni, Massimo & Della Malva, Antonio, 2018. "Sailing in all winds: Technological search over the business cycle," Research Policy, Elsevier, vol. 47(10), pages 1933-1944.

    More about this item

    Keywords

    multidimensional relatedness; innovation systems; sustainability transitions; oil and gas industry; offshore wind power;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    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:egu:wpaper:1926. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/deguunl.html .

    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: The email address of this maintainer does not seem to be valid anymore. Please ask the person in charge to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/deguunl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.