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The Two Faces of R&D and Human Capital: Evidence from Western European Regions

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  • Johanna Vogel

Abstract

This paper investigates two channels through which research and development (R&D) and human capital may affect regional total factor productivity growth in the manufacturing sector, using panel data on 159 EU-15 regions from 1992 to 2005. Based on the endogenous growth model of Griffith, Redding and Van Reenen (2003), we allow R&D and human capital to influence productivity growth both directly, reflecting own innovation, and indirectly, reflecting imitation of frontier technology. Further, the model allows for conditional convergence to a long-run level of TFP relative to the frontier. We also develop an extension that captures geographically localised technology spillovers. Our preferred system-GMM estimates provide evidence of a positive and significant direct effect of human capital, and a positive and significant indirect effect of R&D on productivity growth. This may be interpreted as lending support to the recent focus of EU regional policy on raising educational attainment and R&D expenditures, although their channels of influence appear to differ. Our results also suggest that TFP convergence has taken place over our sample period and that geographic distance to the technology frontier matters.

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  • Johanna Vogel, 2012. "The Two Faces of R&D and Human Capital: Evidence from Western European Regions," Economics Series Working Papers 599, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:599
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    Cited by:

    1. Vogel, Johanna, 2013. "Regional Convergence in Europe: A Dynamic Heterogeneous Panel Approach," MPRA Paper 51794, University Library of Munich, Germany.
    2. Enrique López-Bazo & Elisabet Motellón, 2016. "“Innovation, heterogeneous firms, and the region”," AQR Working Papers 201607, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2016.
    3. Horst Hanusch & Lekha S. Chakraborty & Swati Khurana, 2017. "Fiscal Policy, Economic Growth and Innovation: An Empirical Analysis of G20 Countries," Economics Working Paper Archive wp_883, Levy Economics Institute.
    4. Tomasz & Anna Golejewska, 2017. "Regional variation of innovation activity in Poland. The positive role of location in metropolitan areas affirmed," Working Papers of Economics of European Integration Division 1701, The Univeristy of Gdansk, Faculty of Economics, Economics of European Integration Division.
    5. Rinaldo Evangelista & Valentina Meliciani & Antonio Vezzani, 2016. "The Distribution of Technological Activities in Europe: A Regional Perspective," JRC Working Papers JRC102435, Joint Research Centre (Seville site).
    6. Horst Hanusch & Lekha Chakraborty & Swati Khurana, 2016. "Public Expenditures, Innovation and Economic Growth: Empirical Evidence from G20 Countries," Discussion Paper Series 329, Universitaet Augsburg, Institute for Economics.
    7. Rinaldo Evangelista & Valentina Meliciani & Antonio Vezzani, 2015. "The Specialisation of EU Regions in Fast Growing and Key Enabling Technologies," JRC Working Papers JRC98111, Joint Research Centre (Seville site).
    8. Diana Alexa & Monica Pop-Silaghi & Laura Mariana Cismaṣ, 2016. "Total Factor Productivity, Health and Spatial Dependence in Some European Regions," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 58(3), pages 387-408, September.

    More about this item

    Keywords

    Total factor productivity; Convergence; Human capital; Research and development; European regions;

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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