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Impact of ICT and Human Skills on the European Financial Intermediation Sector

Author

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  • Georg Erber
  • Reinhard Madlener

Abstract

This paper investigates the impact of ICT- and non-ICT capital, and of labour at different skill levels, on productivity and employment in the financial intermediation sector of twelve EU member countries plus the US and Japan. A stochastic possibility frontiers (SPF) approach is applied to assess the relation between the production inputs and to compute both time-varying and average inefficiencies. For the empirical analysis, annual data from 1995 to 2005 are employed that were obtained from recently released data contained in the EU KLEMS database. The results obtained shed some light on the relative impact of ICT- and non-ICT capital and labour inputs, and provide new insights about the structural dynamics between these factor inputs. We find that the financial sectors in the twelve EU member states studied are quite similar in terms of efficiency, and that efficiency and productivity depends much more on human capital than on physical capital. We conclude that learning-by-doing and learning-by-using are more decisive elements in shaping the productivity growth path than ICT investment alone, which can leave managers and employees overwhelmed by the complexity and needs of structural adjustments in the companiesâ organisation.
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Suggested Citation

  • Georg Erber & Reinhard Madlener, 2009. "Impact of ICT and Human Skills on the European Financial Intermediation Sector," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
  • Handle: RePEc:erf:erfssc:56-10
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Wissner, Matthias, 2011. "ICT, growth and productivity in the German energy sector - On the way to a smart grid?," Utilities Policy, Elsevier, vol. 19(1), pages 14-19, January.
    2. Dergiades, Theologos & Madlener, Reinhard & Christofidou, Georgia, 2012. "The Nexus between Natural Gas Spot and Futures Prices at NYMEX: Do Weather Shocks and Non-Linear Causality in Low Frequencies Matter?," FCN Working Papers 17/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Sep 2013.
    3. Bernstein, Ronald & Madlener, Reinhard, 2011. "Responsiveness of Residential Electricity Demand in OECD Countries: A Panel Cointegation and Causality Analysis," FCN Working Papers 8/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    4. Michelsen, Carl Christian & Madlener, Reinhard, 2011. "Homeowners' Preferences for Adopting Residential Heating Systems: A Discrete Choice Analysis for Germany," FCN Working Papers 9/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    5. Rohlfs, Wilko & Madlener, Reinhard, 2013. "Challenges in the Evaluation of Ultra-Long-Lived Projects: Risk Premia for Projects with Eternal Returns or Costs," FCN Working Papers 13/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    6. Rohlfs, Wilko & Madlener, Reinhard, 2011. "Multi-Commodity Real Options Analysis of Power Plant Investments: Discounting Endogenous Risk Structures," FCN Working Papers 22/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    7. Kraas, Birk & Schroedter-Homscheidt, Marion & Pulvermüller, Benedikt & Madlener, Reinhard, 2011. "Economic Assessment of a Concentrating Solar Power Forecasting System for Participation in the Spanish Electricity Market," FCN Working Papers 12/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    8. Harmsen - van Hout, Marjolein & Ghosh, Gaurav & Madlener, Reinhard, 2013. "The Impact of Green Framing on Consumers’ Valuations of Energy-Saving Measures," FCN Working Papers 7/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    9. Georg Erber & Reinhard Madlener, 2009. "Impact of ICT and Human Skills on the European Financial Intermediation Sector," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
    10. Harmsen - van Hout, Marjolein & Ghosh, Gaurav & Madlener, Reinhard, 2013. "An Evaluation of Attribute Anchoring Bias in a Choice Experimental Setting," FCN Working Papers 6/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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