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The Annals of Regional Science

Erschienen in:

06.09.2023 | Original Paper

Do diverse degree courses matter for university attractiveness?

verfasst von: Bianca Biagi, Laura Ciucci, Claudio Detotto, Manuela Pulina

Erschienen in: The Annals of Regional Science | Ausgabe 4/2024

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Abstract

The present paper focuses on an unexplored line of research in Higher Education Institutions’ (HEIs) studies: the role of programmatic diversity on university attractiveness. Specifically, it highlights the role of diversification and divergence of the degree courses as a lever to attract more freshers. Diversification measures the range of the offered degree courses, while divergence indicates how the mix differs from the national standard. The work addresses the following three research questions: (1) are diversification and divergence beneficial to universities in attracting more freshers? Do these effects change with (2) the internal characteristics and (3) the external characteristics of universities? To this aim, the paper explores a panel data set of 75 Italian universities between 2012–2019. Overall, the findings indicate that programmatic diversity is beneficial but with specific differences according to size, research quality and the location of the HEIs. Furthermore, the proximity to other competitors plays an important role.

Vorheriger Artikel A new territorial attractiveness index at the international scale: design, application and patterns in Italy

Nächster Artikel The governance of regional innovation policy and its economic implications

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See the following link: http://publications.europa.eu/resource/cellar/8d8026dc-d7d7-4d04-8896-e13ef636ae6b.0010.02/DOC_5.

Nationally programmed access is regulated by Law 264 of 1999. Article 1 (a) identifies the types of nationally programmed courses, “degree courses in medicine and surgery, veterinary medicine, dentistry and dental prosthetic, and architecture,” as well as bachelor’s and master’s degree courses concerning primary education and the training of health personnel in 22 types of professions, such as nursing science.

Authors’ elaboration for the group of universities under investigation in 2014, the last year available in the database; see the link: https://eter-project.com/.

Funding for public universities was issued by Law 537 in 1993, while funding for private universities was issued by Law 243 in 1991.

To date, there are 50 and 100 classes, respectively, for the undergraduate and master’s degree courses.

Agricultural-Forestry and Veterinary Sciences; Architecture and Civil Engineering; Art and Design; Computer Science and ICT Technology; Economics; Industrial and Information Engineering; Law; Linguistics; Literature-Humanities; Medical-Health and Pharmaceutical Sciences; Motor and Sport Sciences; Natural Sciences, Physics and Mathematics; Political-Social Sciences and Communication; Psychology; Teaching.

Link Campus University is a private institution that received accreditation in September 2011. However, it has been excluded from the sample because its data were not made available until 2013.

The VQR2 classifies universities according to the number of students in the academic year 2012-2013.

Figure 5 plots these values in absolute terms.

In “Appendix”, values in Fig. 6a, b are expressed in absolute terms.

In the “Appendix”, Fig. 7 is plotted using absolute values.

See Sect. 4 for a description of the variables.

In this first-difference specification, individual effects would imply the existence of individual trends in the level specification which could lead to over-fitting concerns.

Since the Roma LUISS experiences important variations (see Table 13), also in terms of the sign, between 2012 and 2014, the econometric analysis is also run without this outlier but the main results are confirmed.

The convergence coefficient is larger when controlling for the university fixed effects (Column (5) of Table 2). This outcome can be due to the Hurwicz-type bias (Hurwicz 1950), which substantially biases downwards the fixed-effects estimator for the coefficient of the lagged dependent variable in short panel data samples (Barro 2012).

According to the ISTAT definition: Rome, Milan, Naples, Turin, Bari, Bologna, Florence, Venice, Genoa, Reggio Calabria.

The long-run effects seem very large, but we should point out that a 10 per cent increase in the level of diversification and divergence represents, respectively, a change above the 90 and 75 percentile of the distribution of observed annual changes over the period analysed. In fact, 50% of the annual variations of the indicators of diversification and divergence are less than 2% and 4.7%, respectively.

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Titel: Do diverse degree courses matter for university attractiveness?
verfasst von: Bianca Biagi
Laura Ciucci
Claudio Detotto
Manuela Pulina
Publikationsdatum: 06.09.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: The Annals of Regional Science / Ausgabe 4/2024
Print ISSN: 0570-1864
Elektronische ISSN: 1432-0592
DOI: https://doi.org/10.1007/s00168-023-01240-3

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