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Is The Production of Religious Knowledge Efficient? Managing Faith Related Postsecondary Institutions

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  • G. Thomas SAV

    (Department of Economics, Raj Soin College of Business, Wright State University, Dayton, Ohio 45435 U.S.A.)

Abstract

The focus of this paper is on the efficiency of producing and managing religion based knowledge in postsecondary institutions. Panel data is used to estimate a stochastic cost frontier and associated inefficiencies for a panel of 222 U.S. bible colleges, theological seminaries, and other faith based higher education institutions over the 2005-09 academic years. Results indicate that institutions offering undergraduate only education are on average less inefficient than graduate only or combined undergraduate-graduate education institutions. Government provided student loans and private philanthropy are efficiency improving, while institutional debt acts to increase inefficiency. Time varying inefficiencies show efficiency gains over the last two of the four academic years. However, additional observations will be required to determine whether that is a managerial reaction to the global financial crisis and if it is sustainable in future academic years.

Suggested Citation

  • G. Thomas SAV, 2012. "Is The Production of Religious Knowledge Efficient? Managing Faith Related Postsecondary Institutions," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(1), pages 1-12, February.
    • Handle: RePEc:spp:jkmeit:1254
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    References listed on IDEAS

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    1. Malcolm Abbott & Chris Doucouliagos, 2009. "Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities," Education Economics, Taylor & Francis Journals, vol. 17(1), pages 31-57.
    2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    3. Cohn, Elchanan & Rhine, Sherrie L W & Santos, Maria C, 1989. "Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 284-290, May.
    4. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, October.
    5. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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