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The geographical efficiency of education and research: The ranking of U.S. universities

Author

Listed:
  • Jean-Pascal Guironnet

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Nicolas Peypoch

    (CAEPEM - Centre d'Analyse de l'Efficience et de la Performance en Economie et Management - UPVD - Université de Perpignan Via Domitia)

Abstract

This paper proposes to study the American efficiency of educational diffusion and research productivity following two distinctions: urban vs. rural areas and public vs. private universities. Following this geographical consideration, knowledge diffusion seems to be homogeneous over the American territory, whereas research productivity is more heterogeneous: American research efficiency decreased of 7% points, due to some rural university localizations. Universities in urban areas favor educational quality through high student selection criteria, contrary to those located in more rural areas. Third, public universities present higher educational efficiency, in favoring educational quality over research productivity: the lesser research efficiency of public institutions comes from difficulties in the management of several campuses, by comparison with the private institutions which are all single-campus.

Suggested Citation

  • Jean-Pascal Guironnet & Nicolas Peypoch, 2018. "The geographical efficiency of education and research: The ranking of U.S. universities," Post-Print halshs-02083166, HAL.
  • Handle: RePEc:hal:journl:halshs-02083166
    DOI: 10.1016/j.seps.2017.07.003
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    Cited by:

    1. Ren, Xian-tong & Fukuyama, Hirofumi & Yang, Guo-liang, 2022. "Eliminating congestion by increasing inputs in R&D activities of Chinese universities," Omega, Elsevier, vol. 110(C).
    2. Aurélie Corne & Olga Goncalves & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: A hierarchical approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 389-405, April.
    3. Chen, Zhuo & Yang, Zhenbing & Yang, Lili, 2020. "How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    4. Jiani Liu & Kim Jungyin & Shim Jaewoo & Lee Heechul & Wasi Ul Hassan Shah, 2024. "Evaluating the efficiency, productivity change, and technology gaps of China’s provincial higher education systems: A comprehensive analytical framework," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-25, January.
    5. Bertoletti, Alice & Berbegal-Mirabent, Jasmina & Agasisti, Tommaso, 2022. "Higher education systems and regional economic development in Europe: A combined approach using econometric and machine learning methods," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    6. Shih-Pin Chen & Chung-Wei Chang, 2021. "Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5263-5284, June.
    7. Belgin, Önder, 2025. "Research and entrepreneurial efficiency of selected Turkish universities," International Journal of Educational Development, Elsevier, vol. 113(C).
    8. Tavares, Rafael Santos & Angulo-Meza, Lidia & Sant'Anna, Annibal Parracho, 2021. "A proposed multistage evaluation approach for Higher Education Institutions based on network Data envelopment analysis: A Brazilian experience," Evaluation and Program Planning, Elsevier, vol. 89(C).
    9. Samira Foladi & Maghsud Solimanpur & Mustafa Jahangoshai Rezaee, 2020. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 323-347, February.
    10. Ding, Tao & Zhang, Yun & Zhang, Danlu & Li, Feng, 2023. "Performance evaluation of Chinese research universities: A parallel interactive network DEA approach with shared and fixed sum inputs," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    11. Shen, Wanfang & Liu, Yufei & Wan, Guanjiang & Shi, Jianing & Liu, Wenbin, 2024. "Performance evaluation considering academic misconduct of China’s higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    12. Rella, Angela & Rubino, Michele & Raimo, Nicola & Vitolla, Filippo, 2024. "Does the digitalization of municipalities affect the efficiency of universities? An Italian case study using DEA and Malmquist index approaches," Technology in Society, Elsevier, vol. 77(C).
    13. De la Cruz, Marco & Mergoni, Anna, 2024. "Assessing the performance of Peruvian education system from a governance perspective," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    14. Esteban Fernández Tuesta & Máxima Bolaños-Pizarro & Daniel Pimentel Neves & Geziel Fernández & Justin Axel-Berg, 2020. "Complex networks for benchmarking in global universities rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 405-425, October.
    15. Hai Dong & Nicolas Peypoch & Linjia Zhang, 2020. "Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity," Tourism Economics, , vol. 26(2), pages 257-275, March.
    16. Contreras, I. & Lozano, S., 2020. "Allocating additional resources to public universities. A DEA bargaining approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    17. Badiee, Aghdas & Moshtari, Mohammad & Berenguer, Gemma, 2024. "A systematic review of operations research and management science modeling techniques in the study of higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    18. Horváth, Krisztina & Berbegal-Mirabent, Jasmina, 2022. "The role of universities on the consolidation of knowledge-based sectors: A spatial econometric analysis of KIBS formation rates in Spanish regions," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    19. Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).

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    Keywords

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • I20 - Health, Education, and Welfare - - Education - - - General
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada

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