Skip to main content
Erschienen in: Social Indicators Research 2-3/2021

31.03.2020 | Original Research

Assessment of the University Reputation Through the Analysis of the Student Mobility

verfasst von: S. Bacci, B. Bertaccini

Erschienen in: Social Indicators Research | Ausgabe 2-3/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In higher education, the mobility of students across a country to take a degree is receiving increasing attention in recent years, mainly because of the effects on the economic development and competitiveness of the territorial areas where universities are located. In Italy, an important source of information is represented by the National Student Registry. Among others, the Registry allows us to analyze the student mobility across the country both at the moment of the first enrollment in a bachelor or 5-years degree program and, then, at the enrollment in a master degree program. In the former case, students may attend university in the area of residence or move somewhere else (first-level mobility); in the latter case bachelor graduates may prosecute the academic career with a master degree in the same university or move in another higher academic institution (second-level mobility). In this contribution we propose a set of instruments to analyze student mobility. These instruments will be applied to the information gathered by the National Student Registry. We first define two indicators of the capability of retention and attraction of students computed at the first- and the second-level mobility; we also illustrate how these indices may be synthesize through a composite indicator and how they can be used to produce a graphical display of the ego-centric network generated by the flow of incoming and outgoing movements. Then, we formulate a gravity model to detect how the mobility is affected by university characteristics, such as quality of structures and quality of life of the territorial area of influence of the university.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Anderson, J. E. (2010). The gravity model. Working Paper 16576. Cambridge, MA: National Bureau of Economic Research. Anderson, J. E. (2010). The gravity model. Working Paper 16576. Cambridge, MA: National Bureau of Economic Research.
Zurück zum Zitat Beine, M., Noël, R., & Ragot, L. (2014). Determinants of the international mobility of students. Economics of Education Review, 41, 40–54.CrossRef Beine, M., Noël, R., & Ragot, L. (2014). Determinants of the international mobility of students. Economics of Education Review, 41, 40–54.CrossRef
Zurück zum Zitat Bradley, R. A., & Terry, M. E. (1952). The rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika, 39, 324–345. Bradley, R. A., & Terry, M. E. (1952). The rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika, 39, 324–345.
Zurück zum Zitat Bruno, G., & Genovese, A. (2012). A spatial interaction model for the representation of the mobility of university students on the Italian territory. Networks and Spatial Economics, 12, 41–57.CrossRef Bruno, G., & Genovese, A. (2012). A spatial interaction model for the representation of the mobility of university students on the Italian territory. Networks and Spatial Economics, 12, 41–57.CrossRef
Zurück zum Zitat Casacci, S. (2019). Classifying Italian students by mobility. In M. Bini, P. Amenta, A. D’Ambra, & I. Camminatiello (Eds.), Statistical methods for service quality evaluation (pp. 221–224). Napoli: Cuzzolin. Casacci, S. (2019). Classifying Italian students by mobility. In M. Bini, P. Amenta, A. D’Ambra, & I. Camminatiello (Eds.), Statistical methods for service quality evaluation (pp. 221–224). Napoli: Cuzzolin.
Zurück zum Zitat Ciriaci, D. (2014). Does university quality influence the interregional mobility of students and graduates? The case of Italy. Regional Studies, 48, 1592–1608.CrossRef Ciriaci, D. (2014). Does university quality influence the interregional mobility of students and graduates? The case of Italy. Regional Studies, 48, 1592–1608.CrossRef
Zurück zum Zitat Columbu, S., Porcu, M., Primerano, I., Sulis, I., & Vitale, M. P. (2019). Exploring the Italian student mobility flows in higher education. In M. Bini, P. Amenta, A. D’Ambra, & I. Camminatiello (Eds.), Statistical methods for service quality evaluation (pp. 46–49). Napoli: Cuzzolin. Columbu, S., Porcu, M., Primerano, I., Sulis, I., & Vitale, M. P. (2019). Exploring the Italian student mobility flows in higher education. In M. Bini, P. Amenta, A. D’Ambra, & I. Camminatiello (Eds.), Statistical methods for service quality evaluation (pp. 46–49). Napoli: Cuzzolin.
Zurück zum Zitat D’Agostino, A., Ghellini, G., & Longobardi, S. (2019). Out-migration of university enrolment: the mobility behaviour of Italian students. International Journal of Manpower, 40, 56–72.CrossRef D’Agostino, A., Ghellini, G., & Longobardi, S. (2019). Out-migration of university enrolment: the mobility behaviour of Italian students. International Journal of Manpower, 40, 56–72.CrossRef
Zurück zum Zitat Dotti, N., Fratesi, U., Lenzi, C., & Percoco, M. (2013). Local labour markets and the interregional mobility of Italian university students. Spatial Economic Analysis, 8(4), 443–468.CrossRef Dotti, N., Fratesi, U., Lenzi, C., & Percoco, M. (2013). Local labour markets and the interregional mobility of Italian university students. Spatial Economic Analysis, 8(4), 443–468.CrossRef
Zurück zum Zitat Dotti, N. F., Fratesi, U., Lenzi, C., & Percoco, M. (2014). Local labour market conditions and the spatial mobility of science and technology university students: Evidence from Italy. Review of Regional Research, 34, 119–137.CrossRef Dotti, N. F., Fratesi, U., Lenzi, C., & Percoco, M. (2014). Local labour market conditions and the spatial mobility of science and technology university students: Evidence from Italy. Review of Regional Research, 34, 119–137.CrossRef
Zurück zum Zitat Enea, M. (2018). From south to north? Mobility of Southern Italian students at the transition from the first to the second level university degree. In C. Perna, M. Pratesi, & A. Ruiz-Gazen (Eds.), Studies in theoretical and applied statistics (pp. 239–249). Berlin: Springer.CrossRef Enea, M. (2018). From south to north? Mobility of Southern Italian students at the transition from the first to the second level university degree. In C. Perna, M. Pratesi, & A. Ruiz-Gazen (Eds.), Studies in theoretical and applied statistics (pp. 239–249). Berlin: Springer.CrossRef
Zurück zum Zitat Enea, M., & Attanasio, M. (2019). La mobilità degli studenti universitari nell’ultimo decennio in Italia. In G. De Santis, E. Pirani, & M. Porcu (Eds.), Rapporto sulla popolazione. L’istruzione in Italia (pp. 43–58). Bologna, IT: Il Mulino. Enea, M., & Attanasio, M. (2019). La mobilità degli studenti universitari nell’ultimo decennio in Italia. In G. De Santis, E. Pirani, & M. Porcu (Eds.), Rapporto sulla popolazione. L’istruzione in Italia (pp. 43–58). Bologna, IT: Il Mulino.
Zurück zum Zitat Fotheringham, A. S., & O’Kelly, M. E. (1989). Spatial interaction models: Formulations and applications. Dordrecht: Kluwer Academic. Fotheringham, A. S., & O’Kelly, M. E. (1989). Spatial interaction models: Formulations and applications. Dordrecht: Kluwer Academic.
Zurück zum Zitat Genova, V. G., Tumminello, M., Enea, M., Aiello, F., & Attanasio, M. (2019). Student mobility in higher education: Sicilian outflow network and chain migrations. Electronic Journal of Applied Statistical Analysis, 12, 774–35. Genova, V. G., Tumminello, M., Enea, M., Aiello, F., & Attanasio, M. (2019). Student mobility in higher education: Sicilian outflow network and chain migrations. Electronic Journal of Applied Statistical Analysis, 12, 774–35.
Zurück zum Zitat Giambona, F., Porcu, M., & Sulis, I. (2017). Students mobility: Assessing the determinants of attractiveness across competing territorial areas. Social Indicator Research, 133, 1105–1132.CrossRef Giambona, F., Porcu, M., & Sulis, I. (2017). Students mobility: Assessing the determinants of attractiveness across competing territorial areas. Social Indicator Research, 133, 1105–1132.CrossRef
Zurück zum Zitat Griffith, D., & Fischer, M. (2013). Constrained variants of the gravity model and spatial dependence: Model specification and estimation issues. Journal of Geographical Systems, 15, 291–317.CrossRef Griffith, D., & Fischer, M. (2013). Constrained variants of the gravity model and spatial dependence: Model specification and estimation issues. Journal of Geographical Systems, 15, 291–317.CrossRef
Zurück zum Zitat Goldstein, H., & Healy, J. R. (1995). The graphical presentation of a collection of means. Journal of the Royal Statistical Society Series A (Statistics in Society), 158, 175–177.CrossRef Goldstein, H., & Healy, J. R. (1995). The graphical presentation of a collection of means. Journal of the Royal Statistical Society Series A (Statistics in Society), 158, 175–177.CrossRef
Zurück zum Zitat Hastie, T., Tibshirani, R., & Friedman, J. H. (2001). The elements of statistical learning: Data mining, inference, and prediction. New York: Springer.CrossRef Hastie, T., Tibshirani, R., & Friedman, J. H. (2001). The elements of statistical learning: Data mining, inference, and prediction. New York: Springer.CrossRef
Zurück zum Zitat Ishikawa, Y. (1987). An empirical study of the competing destinations model using Japanese interaction data. Environmental Planning A, 19, 1359–1373.CrossRef Ishikawa, Y. (1987). An empirical study of the competing destinations model using Japanese interaction data. Environmental Planning A, 19, 1359–1373.CrossRef
Zurück zum Zitat Kolaczyk, E. D. (2009). Statistical analysis of network data: Methods and models. New York: Springer.CrossRef Kolaczyk, E. D. (2009). Statistical analysis of network data: Methods and models. New York: Springer.CrossRef
Zurück zum Zitat Mazziotta, M., & Pareto, A. (2012). A non-compensatory approach for the measurement of the quality of life. In F. Maggino & G. Nuvolati (Eds.), Quality of life in Italy (pp. 27–40). Berlin: Springer.CrossRef Mazziotta, M., & Pareto, A. (2012). A non-compensatory approach for the measurement of the quality of life. In F. Maggino & G. Nuvolati (Eds.), Quality of life in Italy (pp. 27–40). Berlin: Springer.CrossRef
Zurück zum Zitat Mazziotta, M., & Pareto, A. (2016). On a generalized non-compensatory composite index for measuring socio-economic phenomena. Social Indicators Research, 127, 98–1003.CrossRef Mazziotta, M., & Pareto, A. (2016). On a generalized non-compensatory composite index for measuring socio-economic phenomena. Social Indicators Research, 127, 98–1003.CrossRef
Zurück zum Zitat Mazziotta, M., & Pareto, A. (2017). Synthesis of indicators: The composite indicators approach. In F. Maggino (Ed.), Complexity in society: From indicators construction to their synthesis (pp. 159–191). Berlin: Springer.CrossRef Mazziotta, M., & Pareto, A. (2017). Synthesis of indicators: The composite indicators approach. In F. Maggino (Ed.), Complexity in society: From indicators construction to their synthesis (pp. 159–191). Berlin: Springer.CrossRef
Zurück zum Zitat Nguyen, N., & LeBlanc, G. (2001). Image and reputation of higher education institutions in students’ retention decisions. International Journal of Educational Management, 15, 303–311. Nguyen, N., & LeBlanc, G. (2001). Image and reputation of higher education institutions in students’ retention decisions. International Journal of Educational Management, 15, 303–311.
Zurück zum Zitat OECD. (2008). Handbook on constructing composite indicators. Methodology and user guide. Paris, FR: OECD Publications.CrossRef OECD. (2008). Handbook on constructing composite indicators. Methodology and user guide. Paris, FR: OECD Publications.CrossRef
Zurück zum Zitat Perry, B. L., Pescosolido, B. A., & Borgatti, S. P. (2018). Egocentric network analysis. Cambridge, MA: Cambridge University Press.CrossRef Perry, B. L., Pescosolido, B. A., & Borgatti, S. P. (2018). Egocentric network analysis. Cambridge, MA: Cambridge University Press.CrossRef
Zurück zum Zitat Ravenstein, E. G. (1889). The laws of migration. Journal of the Royal Statistical Society, 52, 241–305.CrossRef Ravenstein, E. G. (1889). The laws of migration. Journal of the Royal Statistical Society, 52, 241–305.CrossRef
Zurück zum Zitat Sà, C., Florax, R. J. G. M., & Rietveld, P. (2004). Determinants of the regional demand for higher education in The Netherlands: A gravity model approach. Regional Studies, 38, 375–392.CrossRef Sà, C., Florax, R. J. G. M., & Rietveld, P. (2004). Determinants of the regional demand for higher education in The Netherlands: A gravity model approach. Regional Studies, 38, 375–392.CrossRef
Zurück zum Zitat Shields, R. (2013). Globalization and international student mobility: A network analysis. Comparative Education Review, 57, 609–636.CrossRef Shields, R. (2013). Globalization and international student mobility: A network analysis. Comparative Education Review, 57, 609–636.CrossRef
Zurück zum Zitat Simini, F., Gonzàlez, M. C., Maritan, A., & Barabàsi, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100.CrossRef Simini, F., Gonzàlez, M. C., Maritan, A., & Barabàsi, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100.CrossRef
Zurück zum Zitat Sung, M., & Yang, S. (2008). Toward the model of university image: The influence of brand personality, external prestige, and reputation. Journal of Public Relations Research, 20, 357–376.CrossRef Sung, M., & Yang, S. (2008). Toward the model of university image: The influence of brand personality, external prestige, and reputation. Journal of Public Relations Research, 20, 357–376.CrossRef
Zurück zum Zitat Tosi, F., Impacciatore, R., & Rettaroli, R. (2018). Individual skills and student mobility in Italy: A regional perspective. Regional Studies, 53, 1099–1111.CrossRef Tosi, F., Impacciatore, R., & Rettaroli, R. (2018). Individual skills and student mobility in Italy: A regional perspective. Regional Studies, 53, 1099–1111.CrossRef
Zurück zum Zitat Tinbergen, J. (1962). Shaping the world economy: Suggestions for an international economic policy. New York, NY: The Twentieth Century Fund. Tinbergen, J. (1962). Shaping the world economy: Suggestions for an international economic policy. New York, NY: The Twentieth Century Fund.
Metadaten
Titel
Assessment of the University Reputation Through the Analysis of the Student Mobility
verfasst von
S. Bacci
B. Bertaccini
Publikationsdatum
31.03.2020
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 2-3/2021
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-020-02322-x

Weitere Artikel der Ausgabe 2-3/2021

Social Indicators Research 2-3/2021 Zur Ausgabe

Premium Partner