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Juggling with Proximity and Distance: Collaborative Innovation Projects in the Danish Cleantech Industry

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  • Teis Hansen

Abstract

Studies increasingly apply a multidimensional proximity framework in the analysis of collaborations between actors. This article explores the influence of collaboration motives on the desired proximity characteristics of partnerships in innovation projects based on 50 interviews with representatives from Danish cleantech firms. How search criteria along proximity dimensions differ depends on the purposes of the collaborations. In this way, the analysis distinguishes between the types of collaboration, where geographical proximity is considered highly important and those where geographically distant partners are preferred. Geographical proximity plays an important role in partnerships motivated by interaction around actual product development and knowledge creation, while long-distance relationships appear to be important for partnerships motivated by market access and cost considerations. The insight that the desired proximity characteristics of partnerships are indeed contingent on the motive for collaborating highlights how the proximity framework can be applied in the analysis of firm decision making.

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  • Teis Hansen, 2014. "Juggling with Proximity and Distance: Collaborative Innovation Projects in the Danish Cleantech Industry," Economic Geography, Clark University, vol. 90(4), pages 375-402, October.
    • Handle: RePEc:bla:ecgeog:v:90:y:2014:i:4:p:375-402
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    3. Kristina Jespersen & Damiana Rigamonti & Morten Berg Jensen & Rune Bysted, 2018. "Analysis of SMEs partner proximity preferences for process innovation," Small Business Economics, Springer, vol. 51(4), pages 879-904, December.
    4. Grillitsch, Markus & Hansen, Teis, 2018. "Green industrial path development in different types of regions," Papers in Innovation Studies 2018/11, Lund University, CIRCLE - Centre for Innovation Research.
    5. Rune Dahl Fitjar & Franz Huber & Andrés Rodríguez-Pose, 2016. "Not too close, not too far: testing the Goldilocks principle of ‘optimal’ distance in innovation networks," Industry and Innovation, Taylor & Francis Journals, vol. 23(6), pages 465-487, August.
    6. Roberta Capello & Camilla Lenzi, 2018. "The dynamics of regional learning paradigms and trajectories," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 727-748, September.
    7. Robert Davtyan & Wojciech Piotrowicz, 2021. "Cleantech: State of the Art and Implications for Public Procurement," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 19(3 (Fall)), pages 185-207.
    8. Lorenzo Ardito & Antonio Messeni Petruzzelli & Federica Pascucci & Enzo Peruffo, 2019. "Inter‐firm R&D collaborations and green innovation value: The role of family firms' involvement and the moderating effects of proximity dimensions," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 185-197, January.
    9. Marra, Alessandro & Antonelli, Paola & Dell’Anna, Luca & Pozzi, Cesare, 2015. "A network analysis using metadata to investigate innovation in clean-tech – Implications for energy policy," Energy Policy, Elsevier, vol. 86(C), pages 17-26.
    10. Mei Han & Bilin Xu, 2021. "Distance with Customers Effects on Green Product Innovation in SMEs: A Way Through Green Value Co-creation," SAGE Open, , vol. 11(4), pages 21582440211, December.
    11. Tsouri, Maria & Hansen, Teis & Hanson, Jens & Steen, Markus, 2022. "Knowledge recombination for emerging technological innovations: The case of green shipping," Technovation, Elsevier, vol. 114(C).
    12. Xing Gao & Keyu Zhai & Yue Qiu & Mengqiu Cao & Meiling Wu, 2020. "Innovation Institution and Spatial Transfer of Energy Industry: The Case of Jiangsu Province, China," SAGE Open, , vol. 10(1), pages 21582440199, January.
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    14. Metawa, Noura & Dogan, Eyup & Taskin, Dilvin, 2022. "Analyzing the nexus of green economy, clean and financial technology," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 385-396.

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