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How to Boost Productivity in the EU

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  • Klaus Weyerstrass

Abstract

Advances in total factor productivity (TFP) are important for sustaining economic growth in modern economies, in particular in the face of a declining working-age population. In this Policy Brief, we identify investment in research and development, good governance, the capital intensity, a high share of information technology in the total capital stock, and the number of industrial robots per employee as conducive for TFP growth. Based on the empirical results, policies that are beneficial for capital formation in general, investment in computer technology, research and development as well as the use of industrial robots could boost TFP in Europe.

Suggested Citation

  • Klaus Weyerstrass, 2018. "How to Boost Productivity in the EU," EconPol Policy Brief 8, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  • Handle: RePEc:ces:econpb:_8
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    References listed on IDEAS

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    1. Nicholas Oulton, 2016. "The Mystery of TFP," International Productivity Monitor, Centre for the Study of Living Standards, vol. 31, pages 68-87, Fall.
    2. Ramon Gomez-Salvador & Alberto Musso & Marc Stocker & Jarkko Turunen, 2006. "Labour productivity developments in the euro area," Occasional Paper Series 53, European Central Bank.
    3. Francesca D'Auria & Cécile Denis & Karel Havik & Kieran Mc Morrow & Christophe Planas & Rafal Raciborski & Werner Roger & Alessandro Rossi, 2010. "The production function methodology for calculating potential growth rates and output gaps," European Economy - Economic Papers 2008 - 2015 420, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    4. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    5. Turunen, Jarkko & Musso, Alberto & Stocker, Marc & Gómez-Salvador, Ramón, 2006. "Labour productivity developments in the euro area," Occasional Paper Series 53, European Central Bank.
    6. Karel Havik & Kieran Mc Morrow & Fabrice Orlandi & Christophe Planas & Rafal Raciborski & Werner Roeger & Alessandro Rossi & Anna Thum-Thysen & Valerie Vandermeulen, 2014. "The Production Function Methodology for Calculating Potential Growth Rates & Output Gaps," European Economy - Economic Papers 2008 - 2015 535, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    7. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    8. Miller, Stephen M. & Upadhyay, Mukti P., 2000. "The effects of openness, trade orientation, and human capital on total factor productivity," Journal of Development Economics, Elsevier, vol. 63(2), pages 399-423, December.
    9. Dominique Guellec & Bruno van Pottelsberghe de la Potterie, 2003. "R&D and Productivity Growth: Panel Data Analysis of 16 OECD Countries," OECD Economic Studies, OECD Publishing, vol. 2001(2), pages 103-126.
    10. Barbara Dettori & Emanuela Marrocu & Raffaele Paci, 2012. "Total Factor Productivity, Intangible Assets and Spatial Dependence in the European Regions," Regional Studies, Taylor & Francis Journals, vol. 46(10), pages 1401-1416, November.
    11. Michael Danquah & Enrique Moral-Benito & Bazoumana Ouattara, 2014. "TFP growth and its determinants: a model averaging approach," Empirical Economics, Springer, vol. 47(1), pages 227-251, August.
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