Skip to main content

Demographic Change and Industry-specific Innovation Patterns in Germany

  • Chapter
Labour Markets and Demographic Change

Technological progress is the key determinant of economic growth in advanced economies. It consists of innovations and the knowledge needed to use them in production (Romer 1986, 1987). Innovations emerge from spontaneous or trained creativity, coupled with purposeful investment (R&D) and job practice (learning-by-doing, Arrow 1962); they are thus based on knowledge and are producing new knowledge. People have different intellectual and institutional access to knowledge. The former refers to cognitive and motivational capacity; the latter encompasses access to (high-quality) schooling as well as to job practice and leading-edge technologies. Both result in heterogeneity of “human capital”, defined as a worker's, firm's or nation's stock of embodied knowledge and economically useful skills. In the process of human capital accumulation, innate abilities reduce the cost of education and training in terms of own efforts and are believed to contribute to the development of talent. In Germany, talents or “high potentials” and generally “excellence” are currently considered particularly important for innovation and economic growth. This is in line with Southern et al. (1993) who note that: “When a nation feels that its standard of living is threatened efforts to provide universal access [to education] may be traded off in favor of exploiting talent” (p. 401).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Allison, P.D./Stewart, J.A. (1974): Productivity Differences Among Scientists: Evidence for Accumulative Advantage. American Sociological Review, 39(4), pp. 596–606.

    Article  Google Scholar 

  • Allison, P.D./Long, J.S. /Krauze, T.K. (1982): Cumulative Advantage and Inequality in Science. American Sociological Review, 47(5), 615–625.

    Article  Google Scholar 

  • Arrow, Kenneth J. (1962): The Economic Implications of Learning by Doing. The Review of economic studies, vol. 29(3), 255–273.

    Article  Google Scholar 

  • Cole, S. (1979): Age and Scientific Performance. The American journal of Sociology, 84(4), 958–977.

    Article  Google Scholar 

  • Dalton, G.W./Thompson, P.H. (1971): Accelerating obsolescence of older engineers. Harvard Business Review, 49(5), 57–67.

    Google Scholar 

  • Giuri, P./Mariani, M. et al. (2006): Everything You Always Wanted to Know about Inventors (But Never Asked): Evidence from the PatVal-EU Survey. CEPR Discussion Paper No. 5752.

    Google Scholar 

  • Griliches, Z. (1991): Patent Statistics as Economic Indicators: A Survey. NBER Working Papers 3301.

    Google Scholar 

  • Henseke, G./Tivig, T. (2005): Age-dependent, industry-specific innovation, and economic growth in Germany. Discussion Paper, University of Rostock

    Google Scholar 

  • Hoisl, Karin (2005): A Closer Look at Inventor Productivity - What Makes the Difference?. LMU Discussion Paper.

    Google Scholar 

  • Jones, B.F. (2005): Age and Great Invention. NBER Working Paper No. 11359.

    Google Scholar 

  • Lehman, H.C. (1966): The Most Creative Years of Engineers and Other Technologists. The Journal of Genetic Psychology, 108, 263–277.

    Google Scholar 

  • Levin S.G./Stephan, P.E. (1991): Research Productivity Over the Life Cycle: Evidence for Academic Scientists. The American Economic Review, 81(1), 114–132.

    Google Scholar 

  • Lotka, A.J. (1926): The Frequency Distribution of Scientific Productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323.

    Google Scholar 

  • Oberg, W. (1960): Age and Achievement - and the Technical Man. Personnel Psychology, 12, 245–259.

    Article  Google Scholar 

  • Rammer, C. (2002): Patente und Marken als Schutzmechamsmen für Innovations. Studien zum deutschen Innovationssystem, 11-03, Mannheim.

    Google Scholar 

  • Romer, P.M. (1986): Increasing Returns and Long-run Growth. Journal of Political Economy, University of Chicago Press, vol. 94(5), 1002–37.

    Google Scholar 

  • Romer, P.M. (1987): Growth Based on Increasing Returns Due to Specialization. American Economic Review, American Economic Association, vol. 77(2), 56–62.

    Google Scholar 

  • Rostocker Zentrum (2005): Deutschland im Demografischen Wandel - Fakten und Trends 2005. Rostocker Zentrum zur Erforschung des Demografischen Wandels.

    Google Scholar 

  • Greif, S. (1999): Regionale Struktur der Erfindungstätigkeit in Deutschland. In: Greif, Siegfried/Wölfling, Manfred (eds.): Wissenschaft und Innovation: Wissenschaftsforschung Jahrbuch 1999. Berlin: GeWiF 2003, 149 - 175.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 VS Verlag für Sozialwissenschaften | GWV Fachverlage GmbH

About this chapter

Cite this chapter

Henseke, G., Tivig, T. (2009). Demographic Change and Industry-specific Innovation Patterns in Germany. In: Kuhn, M., Ochsen, C. (eds) Labour Markets and Demographic Change. VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-531-91478-7_6

Download citation

Publish with us

Policies and ethics