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Industry 4.0: national and regional comparative advantages in key enabling technologies

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  • Andrea Ciffolilli
  • Alessandro Muscio

Abstract

Industry 4.0 is a name used to indicate a ‘fourth industrial revolution’, characterised by the emergence of smart factories in which cyber-physical systems monitor physical processes and communicate with each other and human beings in real time. European Member States and regions are committed to adapt their innovation systems to the trends of Industry 4.0 and Europe as a whole is facing the challenge of finding a balance between promoting research and innovation excellence and putting less advanced regions in the position to benefit from the ongoing industrial revolution. However, relatively little is known about the magnitude of this economic phenomenon, the comparative advantages of countries and regions and their technological specialisation. We use data from European regions’ participation in collaborative research projects promoted by the 7th Framework Programme for research and innovation to investigate relative and absolute advantages in the enabling technologies of Industry 4.0. Data are regionalised and categorised on the basis of an original taxonomy of technologies developed with the support of a team of European experts in each technological domain. The article also explores regional networks promoted by the Framework Programme and draws policy indications to support the competitiveness of European manufacturing.

Suggested Citation

  • Andrea Ciffolilli & Alessandro Muscio, 2018. "Industry 4.0: national and regional comparative advantages in key enabling technologies," European Planning Studies, Taylor & Francis Journals, vol. 26(12), pages 2323-2343, December.
    • Handle: RePEc:taf:eurpls:v:26:y:2018:i:12:p:2323-2343
    DOI: 10.1080/09654313.2018.1529145
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    Cited by:

    1. Janssen, Matthijs J. & Abbasiharofteh, Milad, 2022. "Boundary spanning R&D collaboration: Key enabling technologies and missions as alleviators of proximity effects?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Anita Thonipara & Rolf Sternberg & Till Proeger & Lukas Haefner, 2023. "Digital divide, craft firms’ websites and urban-rural disparities—empirical evidence from a web-scraping approach [Digital Divide, Websites von Handwerksunternehmen und städtisch-ländliche Disparit," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(1), pages 69-99, April.
    3. Teixeira, Josélia Elvira & Tavares-Lehmann, Ana Teresa C.P., 2022. "Industry 4.0 in the European union: Policies and national strategies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Jankowska, Barbara & Götz, Marta & Tarka, Piotr, 2021. "Foreign subsidiaries as vehicles of industry 4.0: The case of foreign subsidiaries in a post-transition economy," International Business Review, Elsevier, vol. 30(6).
    5. Bratanova, Alexandra & Pham, Hien & Mason, Claire & Hajkowicz, Stefan & Naughtin, Claire & Schleiger, Emma & Sanderson, Conrad & Chen, Caron & Karimi, Sarvnaz, 2022. "Differentiating artificial intelligence activity clusters in Australia," Technology in Society, Elsevier, vol. 71(C).
    6. Grybauskas, Andrius & Stefanini, Alessandro & Ghobakhloo, Morteza, 2022. "Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0," Technology in Society, Elsevier, vol. 70(C).
    7. Capello, Roberta & Lenzi, Camilla, 2021. "Industry 4.0 and servitisation: Regional patterns of 4.0 technological transformations in Europe," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Lamperti, Fabio, 2024. "Unlocking machine learning for social sciences: The case for identifying Industry 4.0 adoption across business restructuring events," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    9. Senna, Pedro P. & Bonnin Roca, Jaime & Barros, Ana C., 2023. "Overcoming barriers to manufacturing digitalization: Policies across EU countries," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

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