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Clusters of stem jobs across Europe

  • Ainhoa UrtasunEmail author


Using geographic information system techniques, this article explores the formation of STEM jobs from a regional perspective. It uses data on European regions, specifically from the Nomenclature of Territorial Units, to first show (by means of Getis-Ord general G statistic and the global Moran’s I statistic) the existence of regional clusters of STEM jobs, which then it explores by means of Getis-Ord Gi*, a local indicator of spatial association. Finally, it estimates, both globally (fitting an ordinary least squares, regression model) and locally (fitting a geographically weighted regression), the extent to which different institutional and firm-based factors contribute to their formation. Findings reveal North–South and West–East differences in how factors contribute to the formation of STEM clusters in Europe. In particular, whereas STEM employment in the North seems to depend more on tertiary education, secondary education is more important in the South. On the other hand, whereas in Western Europe, a favorable learning environment seems to trigger the concentration of STEM jobs, extrinsic factors such as pay seem to be more important in Eastern Europe.


STEM jobs Geographic information system (GIS) Skills Clusters Technology 


Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


  1. Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. Scholar
  2. Alabdulkareem, A., Frank, Sun, L., AlShebli, B., Hidalgo, C., & Rahwan, I. (2018). Unpacking the polarization of workplace skills. Science Advances, 4(7), eaao6030. Scholar
  3. Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. Scholar
  4. Autor, D. H., & Dorn, D. (2013). The growth of low-skill service jobs and the polarization of the US Labor Market. American Economic Review, 103(5), 1553–1597. Scholar
  5. Autor, D. H., Levy, F., & Murnane, R. J. (2003a). The skill content of recent technological change: An empirical exploration*. Retrieved from
  6. Autor, D. H., Levy, F., & Murnane, R. J. (2003b). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279–1333. Scholar
  7. Ben-Ner, A., & Urtasun, A. (2013). Computerization and skill bifurcation: The role of task complexity in creating skill gains and losses. Industrial and Labor Relations Review, 66(1), 225–267. Scholar
  8. Brynjolfsson, E., & Mitchell, T. (2017) What can machine learning do? Workforce implications. Science, 358(6370), 1530–1534.CrossRefGoogle Scholar
  9. Caprile, M. (2015). Directorate general for internal policies policy department a: Economic and scientific policy Encouraging STEM studies Labour Market Situation and comparison of practices targeted at young people in different member states. Retrieved from
  10. Donaldson, D., & Hornbeck, R. (2016). Railroads and American economic growth: A “market access” approach. Quarterly Journal of Economics, 131(2), 799–858. Scholar
  11. Felkner, J. S., & Townsend, R. M. (2011). The geographic concentration of enterprise in developing countries. The Quarterly Journal of Economics, 126(4), 2005–2061.CrossRefGoogle Scholar
  12. Florida, R. (2014). The creative class and economic development. Economic Development Quarterly, 28(3), 196–205. Scholar
  13. Florida, R., Mellander, C., & Stolarick, K. (2008). Inside the black box of regional development–human capital, the creative class and tolerance. Journal of Economic Geography, 8(5), 615–649. Scholar
  14. Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically weighted regression: The analysis of spatially varying relationships. Wiley. Retrieved from
  15. Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114(1), 254–280. Scholar
  16. Goos, M., Konings, J., & Vandeweyer, M. (2018). Local high-tech job multipliers in Europe. Industrial and Corporate Change, 27(4), 639–655. Scholar
  17. Goos, M., & Manning, A. (2007). Lousy and lovely jobs: The rising polarization of work in Britain. Retrieved from
  18. Goos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-biased technological change and offshoring. American Economic Review, 104(8), 2509–2526. Scholar
  19. Krzywdzinski, M. (2017). Automation, skill requirements and labour-use strategies: High-wage and low-wage approaches to high-tech manufacturing in the automotive industry. New Technology, Work and Employment, 32(3), 247–267. Scholar
  20. OCDE. (1995). Manual on the measurement of human resources Devotde to S&T “Canberra Manual.” Organisation for Economic Co-operation and Development, (95), 1–111. Retrieved from
  21. Pollard, S. (1981). Peaceful conquest: The industrialization of Europe, 1760–1970. Oxford University Press.Google Scholar
  22. Scott, A. J. (2000). Economic geography: The great half-century. Cambridge Journal of Economics, 24(4), 483–504. Scholar
  23. Scott, A. J. (2001). Globalization and the rise of city-regions. European Planning Studies, 9(7), 813–826. Scholar
  24. Scott, A. J., & Scott, A. (2002). Regional push: Towards a geography of development and growth in low- and middle-income countries. Third World Quarterly, 23(1), 137–161. Scholar
  25. Vilorio, D. (2014). STEM 101: Intro to tomorrow’s jobs. Occupational Outlook Quarterly, 1(1), 2–12. Retrieved from
  26. World Economic Forum. (2016). The future of jobs employment, skills and workforce strategy for the fourth industrial revolution. Growth Strategies, 2016(january), 2–3. Scholar
  27. Zuboff, S. (1988). In the age of the smart machine: The future of work and power. New York: Basic Books.Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Departamento de Gestión de EmpresasUniversidad Pública de NavarraPamplonaSpain

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