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Universities and economically depressed regions: how ‘attractive’ is the University of Évora?


  • António Caleiro


  • Conceição Rego



As it is well known, universities constitute sources of important multiplier effects on the economic activity of the regions where they are located. Plainly, in the case of economically depressed regions, the importance of universities becomes higher. This is certainly the case with the University of Évora as being located in the Alentejo, one of the poorest regions at the European Union level, it have been contributing to the attraction of economic activity. Besides the direct effect on the economic activity of the Alentejo, the University of Évora also have been exerting demographic effects, on the one hand, by allowing people to become residents on the region and, on the other hand, by attracting students which normally become residents during the period of time required to conclude their academic degrees. The paper explores this last effect by the analysis of how and why the University of Évora is chosen by students coming from all over the country (and from abroad). This analysis, which is done through the use of econometric techniques, also indicates which are the decisive factors for the attraction exerted by the University of Évora, in general, and by its degree courses, in particular, on the candidate students. KEYWORDS: Decision Analysis, Discrete Choice Models, Portugal, Universities JEL CLASSIFICATION: C21, R12, R23

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  • António Caleiro & Conceição Rego, 2004. "Universities and economically depressed regions: how ‘attractiveÂ’ is the University of Évora?," ERSA conference papers ersa04p23, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa04p23

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    References listed on IDEAS

    1. Y Ishikawa, 1987. "An Empirical Study of the Competing Destinations Model Using Japanese Interaction Data," Environment and Planning A, , vol. 19(10), pages 1359-1373, October.
    2. Edward Baryla & Douglas Dotterweich, 2001. "Student Migration: Do Significant Factors Vary by Region?," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 269-280.
    3. Y Ishikawa, 1987. "An empirical study of the competing destinations model using Japanese interaction data," Environment and Planning A, Pion Ltd, London, vol. 19(10), pages 1359-1373, October.
    4. Mixon, Franklin Jr & Hsing, Yu, 1994. "The determinants of out-of-state enrollments in higher education: A tobit analysis," Economics of Education Review, Elsevier, vol. 13(4), pages 329-335.
    5. Carla Sá & Raymond J.G.M. Florax & Piet Rietveld, 2003. "Determinants of the Regional Demand for Higher Education," Tinbergen Institute Discussion Papers 03-013/3, Tinbergen Institute.
    6. Farley Ordovensky, J., 1995. "Effects of institutional attributes on enrollment choice: Implications for postsecondary vocational education," Economics of Education Review, Elsevier, vol. 14(4), pages 335-350, December.
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    Cited by:

    1. Rego, Conceição & Caleiro, António, 2009. "On the spatial diffusion of knowledge by universities located in small and medium sized towns," MPRA Paper 16241, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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