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Institutions and facility mergers in the Italian education system: Models and case studies

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  • Bruno, Giuseppe
  • Esposito, Emilio
  • Genovese, Andrea
  • Piccolo, Carmela

Abstract

In recent years, across Europe, the economic crisis has resulted in an increased pressure on education systems. Notably, Italy has been one of the countries that has experienced the most severe reduction in public expenditure in the education sector. In the described conditions, Italian governmental institutions have started to perform rationalisation actions, aimed at modifying the current configuration of the existing facilities offering educational services (either by entirely closing and merging some of them, or by downsizing or transferring capacities), in order to increase the affordability of the system while still providing a required minimum service level. These strategic choices may have a lasting impact; therefore, there is a need for appropriate decision support tools capable of assisting planners. For this reason, after a description of the context and a review of the current literature, this paper presents two novel mathematical models for addressing rationalisation decisions in the Italian education system. The usability of such models is tested by means of real-world case studies, offering interesting insights.

Suggested Citation

  • Bruno, Giuseppe & Esposito, Emilio & Genovese, Andrea & Piccolo, Carmela, 2016. "Institutions and facility mergers in the Italian education system: Models and case studies," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 23-32.
    • Handle: RePEc:eee:soceps:v:53:y:2016:i:c:p:23-32
    DOI: 10.1016/j.seps.2015.11.001
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    1. ReVelle, Charles & Murray, Alan T. & Serra, Daniel, 2007. "Location models for ceding market share and shrinking services," Omega, Elsevier, vol. 35(5), pages 533-540, October.
    2. Charles A. Holloway & Donald A. Wehrung & Michael P. Zeitlin & Rosser T. Nelson, 1975. "An Interactive Procedure for the School Boundary Problem with Declining Enrollment," Operations Research, INFORMS, vol. 23(2), pages 191-206, April.
    3. Lawrence Joseph & Michael Kuby, 2011. "Gravity Modeling and its Impacts on Location Analysis," International Series in Operations Research & Management Science, in: H. A. Eiselt & Vladimir Marianov (ed.), Foundations of Location Analysis, chapter 0, pages 423-443, Springer.
    4. Lemberg, David S. & Church, Richard L., 2000. "The school boundary stability problem over time," Socio-Economic Planning Sciences, Elsevier, vol. 34(3), pages 159-176, September.
    5. Ploughman, T. & Darnton, W. & Heuser, W., 1968. "An assignment program to establish school attendance boundaries and forecast construction needs," Socio-Economic Planning Sciences, Elsevier, vol. 1(3), pages 243-258, July.
    6. Aros-Vera, Felipe & Marianov, Vladimir & Mitchell, John E., 2013. "p-Hub approach for the optimal park-and-ride facility location problem," European Journal of Operational Research, Elsevier, vol. 226(2), pages 277-285.
    7. Giuseppe Bruno & Andrea Genovese, 2012. "A Spatial Interaction Model for the Representation of the Mobility of University Students on the Italian Territory," Networks and Spatial Economics, Springer, vol. 12(1), pages 41-57, March.
    8. Peter J. B. Brown, 1987. "Trade‐Off And Compromise In Secondary School Reorganisation Schemes: A Goal Programming Approach," Papers in Regional Science, Wiley Blackwell, vol. 61(1), pages 115-130, January.
    9. F Caro & T Shirabe & M Guignard & A Weintraub, 2004. "School redistricting: embedding GIS tools with integer programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 836-849, August.
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    Cited by:

    1. Giuseppe Bruno & Manuel Cavola & Antonio Diglio & Carmela Piccolo, 2022. "Geographical accessibility to upper secondary education: an Italian regional case study," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 511-536, October.
    2. Antonio Diglio & Stefan Nickel & Francisco Saldanha-da-Gama, 2020. "Towards a stochastic programming modeling framework for districting," Annals of Operations Research, Springer, vol. 292(1), pages 249-285, September.
    3. Mayerle, Sérgio F. & Rodrigues, Hidelbrando F. & Neiva de Figueiredo, João & De Genaro Chiroli, Daiane M., 2022. "Optimal student/school/class/teacher/classroom matching to support efficient public school system resource allocation," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    4. Bruno, Giuseppe & Diglio, Antonio & Piccolo, Carmela & Cannavacciuolo, Lorella, 2019. "Territorial reorganization of regional blood management systems: Evidences from an Italian case study," Omega, Elsevier, vol. 89(C), pages 54-70.

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