Skip to main content

The Patterns and Impact of Technological Specialization

  • Chapter
The Technological Specialization of Advanced Countries

Abstract

The findings of the previous Chapters have described the process of specialization in science and technology in advanced countries. Quantitative data on several S&T indicators and databases have been used to examine the trends of the 1970s and 1980s at national and at sectoral level. This Chapter will pull together and summarize the different threads of the analysis and go on to examine the relationship between specialization and national performance. After the analysis in the previous Chapters of the specialization profiles of advanced countries in technology and science and the data provided on the degree of specialization in countries and sectors, the concluding questions to be addressed focus on the different national patterns of technological specialization and on the impact they have on national performance. In particular, two issues will be examined:

  1. i)

    The first question is: how can the similarities and differences in national patterns of technological activity be defined? Are there common patterns across countries emerging from the comparison of national sectoral specialization?

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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.

Notes

  1. Data on patents granted in the US are used here and particular caution is therefore needed in interpreting the results for the US, due to “domestic market effect” pointed out in Chapter 4 (see Table 4.5).

    Google Scholar 

  2. The maximum value of the distance indicator is found in the very special case when two countries concentrate all their activity in two different sectors which have the lowest shares of patents in the world distribution. The lowest these shares, the greater the maximum, which also depends on the number of classes of the distribution. In order to avoid erratic values, the average of the five sectors with the lowest shares of the world distribution has been considered in calculating the maximum. While such a standardization does not affect the relative position of countries in a given period, it is required in order to make comparisons over time, as is done in Tables 10.1 and 10.2. We are indebted to Maurizio Vichi for his advice in developing this index.

    Google Scholar 

  3. They have generally used data on the sole production of innovations rather than the total technological intensity of each sector, which ideally should include bot the innovations produced and those used in the sector.

    Google Scholar 

  4. We are indebted to Maurizio Vichi for the development of this index.

    Google Scholar 

  5. The same analysis has been carried out also for all 16 countries, finding broadly similar patterns of association among the variables, but less stability over the two periods considered.

    Google Scholar 

  6. This lower R square is due to the extremely high growth rate of patents shown by Spain (which is largely an institutional artifact); if Spain is removed from the analysis, the R square value for the equation is 0.58.

    Google Scholar 

  7. The values for the EEC aggregate are shown in the graph, but obviously have not been included in the calculations of either the correlation index, or the regression line.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Archibugi, D., Pianta, M. (1992). The Patterns and Impact of Technological Specialization. In: The Technological Specialization of Advanced Countries. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7999-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-94-015-7999-5_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-015-8001-4

  • Online ISBN: 978-94-015-7999-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics