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Will colleges survive the storm of declining enrollments? A computational model

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  • Oleg V Pavlov
  • Evangelos Katsamakas

Abstract

The approaching decline in the U.S. college-age population, sometimes referred to as a “demographic storm,” has been identified as an existential threat to the future of American colleges and universities. This article conducts a model-driven analysis of three plausible college-level responses to declining applications. It draws on systems theory to conceptualize a tuition-dependent college as a complex service system and to develop a system dynamics model that captures key causal interrelationships and multiple feedback effects between faculty, facilities, tuition revenue, financials, reputation, and outcomes. Simulations with the college model suggest that common solutions such as reducing faculty or adding campus facilities may improve the college’s short-term financial position, but they are insufficient to ensure its long-term viability. This model contributes to the research literature on the economics of higher education, and model-driven academic management and strategy. It also provides useful implications and insights that can inform policy-makers and college leaders.

Suggested Citation

  • Oleg V Pavlov & Evangelos Katsamakas, 2020. "Will colleges survive the storm of declining enrollments? A computational model," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-29, August.
  • Handle: RePEc:plo:pone00:0236872
    DOI: 10.1371/journal.pone.0236872
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    Cited by:

    1. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    2. Oleg V. Pavlov & Evangelos Katsamakas, 2024. "Tuition too high? Blame competition," Papers 2405.17762, arXiv.org.
    3. Pavlov, Oleg V. & Katsamakas, Evangelos, 2023. "Tuition too high? Blame competition," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 409-431.
    4. Oleg V. Pavlov & Joan Lofgren & Frank Hoy, 2022. "A Value Co-Creation Perspective on Faculty Staffing," Higher Education Studies, Canadian Center of Science and Education, vol. 12(3), pages 1-57, August.
    5. E. A. Pahomova, 2022. "Analysis of Trends in the Higher Education and Science as the Basis for Strategizing the Scientific and Innovative Activities in Regional Universities," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 5.
    6. Oleg V. Pavlov & Evangelos Katsamakas, 2021. "COVID-19 and Financial Sustainability of Academic Institutions," Sustainability, MDPI, vol. 13(7), pages 1-24, April.
    7. Evangelos Katsamakas, 2024. "Business models for the simulation hypothesis," Papers 2404.08991, arXiv.org.
    8. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial Intelligence and the Transformation of Higher Education Institutions: A Systems Approach," Sustainability, MDPI, vol. 16(14), pages 1-22, July.
    9. Evangelos Katsamakas, 2022. "Digital Transformation and Sustainable Business Models," Sustainability, MDPI, vol. 14(11), pages 1-5, May.

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