DETERMINANTS OF DEMAND FOR CITIES WITH HIGHER EDUCATION INSTITUTIONS: AN APPROACH BASED ON FRACTIONAL REGRESSION
| dc.contributor.author | Dionísio, Andreia | |
| dc.contributor.author | Rolim, Cassio | |
| dc.contributor.author | Rego, Conceição | |
| dc.contributor.editor | A. Ruxho, Filip(os) | |
| dc.date.accessioned | 2025-07-24T23:01:07Z | |
| dc.date.available | 2025-07-24T23:01:07Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Higher education institutions are typically situated in urban areas, making them appealing destinations for students seeking advanced education. This paper aims to explore the factors influencing the demand for cities with these institutions, focusing on the Portuguese context. By analysing distance and the quality of life in municipalities, we can better understand what attracts students to these university cities. Our findings, based on a fractional regression model, reveal that proximity to home and the disparity in rental and accommodation expenses play a significant role in the appeal of these cities for students and their families. | por |
| dc.identifier.authoremail | andreia@uevora.pt | |
| dc.identifier.authoremail | cassio.rolim@gmail.com | |
| dc.identifier.authoremail | mcpr@uevora.pt | |
| dc.identifier.citation | Dionisio A., Rolim C., Rego C., 2025. “Determinants of demand for cities with higher education institutions: An approach based on fractional regression”, Sustainable Regional Development Scientific Journal, Vol. II, (1), 2025, pp. 81- 93 | por |
| dc.identifier.issn | 3006-3884 | |
| dc.identifier.pagina | 81-93 | |
| dc.identifier.principalpublicationtitle | Sustainable Regional Development Scientific Journal | |
| dc.identifier.scientificarea | 642 | por |
| dc.identifier.uri | https://www.srdsjournal.eu/articles/files/2025-1-7.pdf | |
| dc.identifier.uri | http://hdl.handle.net/10174/39062 | |
| dc.identifier.volume | II (1) | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.rights | openAccess | por |
| dc.subject | higher education institutions | por |
| dc.subject | fractional models | por |
| dc.subject | market areas | por |
| dc.subject | distance | por |
| dc.subject | housing costs | por |
| dc.title | DETERMINANTS OF DEMAND FOR CITIES WITH HIGHER EDUCATION INSTITUTIONS: AN APPROACH BASED ON FRACTIONAL REGRESSION | por |
| dc.type | article | por |