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Performance Measurement of Hawaii State Public Libraries: An Application of Data Envelopment Analysis (DEA)

Published online by Cambridge University Press:  15 September 2016

Khem R. Sharma
Affiliation:
Department of Biosystems Engineering at the University of Hawaii at Manoa
PingSun Leung
Affiliation:
Department of Biosystems Engineering at the University of Hawaii at Manoa
Lynn Zane
Affiliation:
Management Information Branch of the Hawaii State Public Library System
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Abstract

In view of continuing economic stagnation and consequent budgetary constraints facing the state, Hawaii public libraries have been concerned with their operational efficiency and library managers have been seeking better methods in allocating limited resources among the libraries. This paper employed data envelopment analysis (DEA) technique to assess the performance and resource utilization efficiency of 47 public libraries in Hawaii. Three output measures—circulation, reader visits, and reference transactions and four input categories—collection, library staff, days open, and nonpersonal expenditures were used in the analysis. For fiscal year 1996/97, the estimated technical efficiency scores for Hawaii State public library branches ranged from 0.45 to 1.00, with an average of 0.84. The results showed that 14 of the 47 libraries are technically efficient. The estimated efficiency scores were related to relevant library-specific factors and community characteristics, such as total floor space, size of collection, population density, and location to identify factors influencing library performance. Only floor space and volume of collection did show moderate positive effects on library performance. The resulting information can be mainly useful in improving the performance of inefficient libraries. With special consideration to factors uncontrollable by the libraries the results may also be useful in allocating limited resources among them.

Type
Articles
Copyright
Copyright © 1999 Northeastern Agricultural and Resource Economics Association 

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References

Banker, R.D., Charnes, A., and Cooper, W.W. 1984. “Some Models for Estimating Technical and Scale Efficiencies in Data Envelopment Analysis.” Management Science 30: 10781092.Google Scholar
Charnes, A., Cooper, W.W., and Rhodes, E. 1978. “Measuring the Efficiency of Decision Making Units.” European Journal of Operational Research 2(6): 429444.Google Scholar
Chen, T. 1997. “A Measurement of the Resource Allocation Efficiency of University Libraries.” International Journal of Production Economics 53: 7180.Google Scholar
Coelli, T.J. 1996. A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program. Center for Efficiency and Productivity Analysis (CEPA) Working Paper 96/08, Department of Econometrics, University of New England, Armidale, Australia.Google Scholar
Easun, S. 1994. “Beginner's Guide Efficiency Measurement: An Application of Data Envelopment Analysis to Selected School Libraries in California.” School Library Media Quarterly 22(2): 103106.Google Scholar
Färe, R., Grosskopf, S., and Lovell, C.A.K. 1994. Production Frontiers. Cambridge: Cambridge University Press.Google Scholar
Farrell, M.J. 1957. “The Measurement of Productive Efficiency.” Journal of Royal Statistical Society, Series A 120(3): 253281.CrossRefGoogle Scholar
Management Information Branch, Hawaii State Public Library System, FY 1992/93 to FY 1997/98 Records.Google Scholar
Personal Communications, Okinaga, C., Former Administrative Services Officer, Management Information Branch, Hawaii State Public Library System.Google Scholar
Personal Communications, Spenser, C., Acting State Librarian, Hawaii State Public Library System.Google Scholar
Seitz, W.D. 1970. “The Measurement of Efficiency Relative to a Frontier Production Function.” American Journal of Agricultural Economics 52(4): 505511.Google Scholar
Seitz, W.D. 1971. “Productive Efficiency in the Steam-Electric Generating Industry.” Journal of Political Economy 79(4): 878886.Google Scholar
Shaughnessy, T.W. 1993. “Benchmarking Total Quality Management and Libraries.” Library Administration Management 7: 712.Google Scholar
Van House, N.A., Lynch, M.J., McClure, C.R., Zweizig, D.L., and Rodger, E.J. 1987. Output Measures for Public Libraries: A Manual of Standardized Procedures, American Library Associations, Chicago.Google Scholar
Van House, N.A., Weil, B.T., and McClure, C.R. 1990. Measuring Academic Library Performance: A Practical Approach. Chicago: American Library Associations.Google Scholar