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Exploring EU’s Regional Potential in Low-Carbon Technologies

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  • Enrico Bergamini

    (Department of Economics and Statistics, University of Turin & Collegio Carlo Alberto, Piazza Arbarello 8, 10122 Turin, Italy)

  • Georg Zachmann

    (Bruegel, Rue de la Charité 33, B-1210 Brussels, Belgium)

Abstract

This research builds on the regional innovation literature, and aims to better understand the potential for, and development of, low-carbon technologies in the European Union. Exploiting the OECD’s REGPAT for regionalised patent data, we estimate the potential advantage of European NUTS2 regions have in 14 green technologies. We use network proximity between technologies and between regions to understand technological/regional clusters of revealed technological advantage and build the regressors for estimating regional potential advantage in specific technologies via zero-inflated beta regressions. Based on this, we explore the region-technology networks, finding two gravity centres for green innovation in France’s and Germany’s industrial and high-tech hubs (Île de France, Stuttgart, and Oberbayern). We also construct a dataset of lagged potentials and labour market, economic and demographic variables, and perform an elastic net regularisation to understand the association with current revealed advantages. Our approach indicates an association between technological advantage in green technologies and the (lags of) participation rates in labour markets, sectoral employment in science and technology, general higher education, duration of employment, percentage of GDP spent on R&D (public and private) and other expenditure on R&D. If confirmed by causality tests, the established associations could help in designing horizontal economic policies to enable specific regions to realise their specialisation potential in specific green technologies.

Suggested Citation

  • Enrico Bergamini & Georg Zachmann, 2020. "Exploring EU’s Regional Potential in Low-Carbon Technologies," Sustainability, MDPI, vol. 13(1), pages 1-28, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:32-:d:466627
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    as
    1. Ron Boschma & Koen Frenken, 2011. "The emerging empirics of evolutionary economic geography," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 295-307, March.
    2. Marco Giesselmann & Alexander Schmidt-Catran, 2018. "Interactions in Fixed Effects Regression Models," Discussion Papers of DIW Berlin 1748, DIW Berlin, German Institute for Economic Research.
    3. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    4. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2020. "Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones?," Research Policy, Elsevier, vol. 49(2).
    5. Bowen Yan & Jianxi Luo, 2017. "Measuring technological distance for patent mapping," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(2), pages 423-437, February.
    6. Ghisetti, Claudia & Marzucchi, Alberto & Montresor, Sandro, 2015. "The open eco-innovation mode. An empirical investigation of eleven European countries," Research Policy, Elsevier, vol. 44(5), pages 1080-1093.
    7. Sandro Montresor & Francesco Quatraro, 2020. "Green technologies and Smart Specialisation Strategies: a European patent-based analysis of the intertwining of technological relatedness and key enabling technologies," Regional Studies, Taylor & Francis Journals, vol. 54(10), pages 1354-1365, October.
    8. Pahle, Michael & Pachauri, Shonali & Steinbacher, Karoline, 2016. "Can the Green Economy deliver it all? Experiences of renewable energy policies with socio-economic objectives," Applied Energy, Elsevier, vol. 179(C), pages 1331-1341.
    9. Mariani, Manuel Sebastian & Medo, Matúš & Lafond, François, 2019. "Early identification of important patents: Design and validation of citation network metrics," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 644-654.
    10. Capasso, Marco & Hansen, Teis & Heiberg, Jonas & Klitkou, Antje & Steen, Markus, 2019. "Green growth – A synthesis of scientific findings," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 390-402.
    11. Dani Rodrik, 2014. "Green industrial policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(3), pages 469-491.
    12. Giuseppe Calignano & Michaela Trippl, 2020. "Innovation-Driven or Challenge-Driven Participation in International Energy Innovation Networks? Empirical Evidence from the H2020 Programme," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    13. Karl Aiginger & Dani Rodrik, 2020. "Rebirth of Industrial Policy and an Agenda for the Twenty-First Century," Journal of Industry, Competition and Trade, Springer, vol. 20(2), pages 189-207, June.
    14. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    15. Pierre-Alexandre Balland & Ron Boschma & Joan Crespo & David L. Rigby, 2019. "Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification," Regional Studies, Taylor & Francis Journals, vol. 53(9), pages 1252-1268, September.
    16. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    17. Nathaniel Lane, 2020. "The New Empirics of Industrial Policy," Journal of Industry, Competition and Trade, Springer, vol. 20(2), pages 209-234, June.
    18. Mark Huberty & Georg Zachmann, 2011. "Green exports and the global product space- Prospects for EU industrial policy," Working Papers 556, Bruegel.
    19. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
    20. Ospina, Raydonal & Ferrari, Silvia L.P., 2012. "A general class of zero-or-one inflated beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1609-1623.
    21. Martijn van den Berge & Anet Weterings, 2014. "Relatedness in eco-technological development in European regions," Papers in Evolutionary Economic Geography (PEEG) 1413, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2014.
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    1. Arkadiusz Świadek & Jadwiga Gorączkowska & Karolina Godzisz, 2021. "Conditions Driving Low-Carbon Innovation in a Medium-Sized European Country That Is Catching Up–Case Study of Poland," Energies, MDPI, vol. 14(7), pages 1-17, April.
    2. Huaide Wen & Jun Dai, 2021. "Green Technological Progress and the Backwardness Advantage of Green Development: Taking the Sustainable Development Strategy of Central and Western China as an Example," Sustainability, MDPI, vol. 13(14), pages 1-17, July.

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