Skip to main content
Log in

Geographical analysis of the academic brain drain in Italy

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

To study the behavior of Italian researchers living in Italy with a view to creating appropriate policies to tackle the brain drain and discourage academics from weight in driving emigrating, we constructed a survey based on a sample of 4,700 Italian researchers (assistant professors) in several universities in Italy. The outlook is far from rosy: Italian researchers are generally dissatisfied with the economic and social situation of the country. Strong family ties represent the element keeping them at home in Italy. In this regard, no particular differences were noted between the North and South of the country. In analyzing the Italian academic system we identified factors that have greater weight in driving Italian intellectual talent to emigrate: the country’s higher education system leaves all dissatisfied. Furthermore, we discovered other factors that, albeit weak, keep Italian researchers in Italy. However, one wonders how much longer family and national ties will be able to keep Italian skilled agents in Italy, and whether such dissatisfaction may jeopardize the country’s future economic development.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. The Likert scale measures attitudes.

  2. The Kendall tau b rank correlation coefficient [or simply the Kendall tau coefficient, Kendall's τ or tau test(s)] is a non-parametric statistic (Kendall 1938).

  3. The ordinal form of the transform function can be shown through the so-called Shepard diagram. Differences between distances and differences can be depicted in a diagram of residuals, also called the Guttman image diagram (Kruskal and Wish 1978). If the stress index tended to 0, the adjustment would be perfect and all points would lie on the bisector. The vertical distances of points from the bisector correspond to the errors of approximation.

  4. Given the homogeneity of spatial aggregation about academic factors of dimensions 1 and 2, it is difficult to read or interpret the graphical representation. This confirms that all the Italian academies behave the same way.

References

  • Beccari, A., & Torrisi, B. (2003). New Statistical methodology for variable selection: A chemiometric application. Journal of Applied Statistics, 15(3), 15–22.

    Google Scholar 

  • Beltrame, L. (2007). Realtà e retorica del brain drain in Italia. Stime statistiche, definizioni pubbliche e interventi politici Quaderni del Dipartimento di Sociologia e Ricerca Sociale dell’Università di Trento, no. 35.

  • Brandi, M. C. (2001). Evoluzione degli studi sulle skilledmigration: Brain drain e mobilità. Studi Emigrazione, XXXVIII(141), 75–93.

  • Brandi, M. C., & Cerbara, L. (2004). I Ricercatori stranieri in Italia: fattori di push e pull. Studi Emigrazione, XLI(156), 869–889.

  • Brandi, M. C., & Segnana, M. L. (2008). Lavorare all’estero: fuga o investimento? In Consorzio Interuniversitario Alma Laurea (ed.) X Indagine Alma Laurea sulla condizione occupazionale dei laureati, Il Mulino.

  • Checchi, D. (2003). The Italian educational system: Family background and social stratification, relazione presentata alla conferenza organizzata dall’ ISAE, Rome, 10 January.

  • Dustmann, C., Fadlon, I., & Weiss, Y. (2011). Return migration and human capital accumulation and brain drain. Journal of Economic Development, 95, 58–67.

    Article  Google Scholar 

  • Gibson, J., & McKenzie, D. (2011). The microeconomic determinants of emigration and return migration of the best and brightest: Evidence from the Pacific. Journal of Development Economics, 95(1), 18–29.

    Article  Google Scholar 

  • Kendall, M. (1938). A new measure of rank correlation. Biometrika, 30, 81–89.

    MathSciNet  MATH  Google Scholar 

  • King, D. A. (2004). The scientific impact of nations. Nature, 430(6997), 311–316.

    Article  Google Scholar 

  • Kruskal, J. B., & Wish, M. (1978). Multidimensional scaling (pp. 87–89). Beverly Hills: Sage Publications.

    Google Scholar 

  • Monteleone, S. (2011). Brain Drain e Crescita Economica: Una Rassegna Critica sugli Effetti Prodotti. QA–Rivista dell’Associazione Rossi-Doriano, 1, 29–51.

  • Monteleone, S., & Torrisi, B. (2012). Italian researchers abroad: A multivariate analysis of migration trends. Rivista Italiana degli Economisti XVII(1).

  • Morano-Foadi, S. (2006). Key issue and causes of the Italian brain drain. Innovation, 19(2), 209–223.

    Google Scholar 

  • Nejati, A., & HosseiniJenab, S. M. (2010). A two-dimensional approach to evaluate the scientific production of countries (case study: the basic sciences. Scientometrics, 84, 357–364. doi:10.1007/s11192-009-0103-1.

    Article  Google Scholar 

  • Torrisi B., & Skonieczny, G. (2011). Fuga del capitale umano italiano di alta qualificazione: esclusione sociale o povertà indotta? In Rivista Italiana di Economia Demografia e Statistica vol no. 3/4.

  • The Chronicle. (2006). Italy suspends brain-drain program, May 26. Section International, 52(38), A49.

    Google Scholar 

  • Torrisi, B., & Skonieczny, G. (2009). A statistical approach to study the determinants geographic mobility of brain drain. In Proceedings of the second Arab statistical conference 02–04 November 2009, pp. 543–552.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Monteleone.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 40 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Monteleone, S., Torrisi, B. Geographical analysis of the academic brain drain in Italy. Scientometrics 93, 413–430 (2012). https://doi.org/10.1007/s11192-012-0683-z

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-012-0683-z

JEL Classifications

Navigation