Measuring Efficiency of Knowledge Production in Health Research Centers Using Data Envelopment Analysis (DEA)
A Case Study in Iran
Keywords:
Technical efficiency, Data envelopment analysis, Health research centersAbstract
ntroduction: Efficiency analysis is necessary in order to avoid waste of materials, energy, effort, money, and time during scientific research. Therefore, analyzing efficiency of knowledge production in health areas is necessary, especially for developing and in-transition countries. As the first step in this field, the aim of this study was the analysis of selected health research center efficiency using data envelopment analysis (DEA).
Methods: This retrospective and applied study was conducted in 2015 using input and output data of 16 health research centers affiliated with a health sciences university in Iran during 2010–2014. The technical efficiency of health research centers was evaluated based on three basic data envelopment analysis (DEA) models: input-oriented, output-oriented, and hyperbolic-oriented. The input and output data of each health research center for years 2010–2014 were collected from the Iran Ministry of Health and Medical Education (MOHE) profile and analyzed by R software.
Results: The mean efficiency score in input-oriented, output-oriented, and hyperbolic-oriented models was 0.781, 0.671, and 0.798, respectively. Based on results of the study, half of the health research centers are operating below full efficiency, and about one-third of them are operating under the average efficiency level. There is also a large gap between health research center efficiency relative to each other.
Conclusion: It is necessary for health research centers to improve their efficiency in knowledge production through better management of available resources. The higher level of efficiency in a significant number of health research centers is achievable through more efficient management of human resources and capital. Further research is needed to measure and follow the efficiency of knowledge production by health research centers around the world and over a period of time.
References
Rumbold BE, Smith JA, Hurst J, Charlesworth A, Clarke A. Improving productive efficiency in hospitals:
findings from a review of the international evidence. Health Econ Policy Law. 2015; 10(1): 21-43. doi:
1017/S174413311400022X. PMID: 25662195.
Di Giorgio L, Flaxman AD, Moses MW, Fullman N, Hanlon M, Conner R, et al. Efficiency of Health Care
Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data
Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model. PLoS One. 2016; 11(1).
doi: 10.1371/journal.pone.0147261.
Knezevic S, Markovic M, Brown A. Measuring the efficiency of Serbian insurance companies. Acta
Oeconomica. 2015; 65(1): 91-105. doi: 10.1556/AOecon.65.2015.15.
Agasisti T, Haelermans C. Comparing efficiency of public universities among European countries:
Different incentives lead to different performances. Higher Education Quarterly. 2015; 70(1): 81-104. doi:
1111/hequ.12066.
Kyratzi P, Tsamadias C, Giokas D. Measuring the efficiency and productivity change of Greek universities
over the time period 2005-2009. Int J of Education Economics and Development. 2015; 6(2): 111-29. doi:
1504/IJEED.2015.070620.
You ZQ, Han XP, Hadzibeganovic T. The role of research efficiency in the evolution of scientific
productivity and impact: An agent-based model. Physics Letters A. 2015; 380(7): 828-36. doi:
1016/j.physleta.2015.12.022.
Belu C. Are distance measures effective at measuring efficiency? DEA meets the vintage model. J Prod
Anal. 2015; 43(3): 237-48. doi: 10.1007/s11123-015-0438-y.
Du J, Zhu J, Cook WD, Huo. DEA Models for Parallel Systems: Game-Theoretic Approaches. Asia Pac J
Oper Res. 2015; 32(02): 155-77. doi: 10.1142/S0217595915500086.
Lee HS, Zhu J. Super-efficiency infeasibility and zero data in DEA. Euro J Oper Res. 2012; 216(2): 429- 33. doi: 10.1016/j.ejor.2011.07.050.
Kadarova J, Durkacova M, Teplicka K, Kadar G. The Proposal of an Innovative Integrated BSC–DEA
Model. Procedia Economics and Finance. 2015; 23(1): 1503-8. doi: 10.1016/S2212-5671(15)00375-5.
Wu DD, Yang Z, Liang L. Using DEA-neural network approach to evaluate branch efficiency of a large
Canadian bank. Exp sys appl. 2006; 31(1): 108-15. doi: 10.1016/j.eswa.2005.09.034.
Velasquez M, Hester PT. An analysis of multi-criteria decision making methods. Int J Oper Res. 2013;
(2): 56-66.
Carter R, Vos T, Moodie M, Haby M, Magnus A, Mihalopoulos C. Priority setting in health: origins,
description and application of the Australian Assessing Cost–Effectiveness initiative. Expert Rev
Pharmacoecon Outcomes Res. 2014; 8(6): 593-617. doi: 10.1586/14737167.8.6.593.
Keehan SP, Cuckler GA, Sisko AM, Madison AJ, Smith SD, Stone DA, et al. National health expenditure
projections, 2014–24: spending growth faster than recent trends. Health Aff. 2015; 34(8): 1407-17. doi:
1377/hlthaff.2015.0600.
Falahat K, Eftekhari M, Habibi E, Djalalinia Sh, Peykari N, Owlia P, et al. Trend of Knowledge Production
of Research Centers in the Field of Medical Sciences in Iran. Iran J Public Health. 2013; 42(1): 55. PMID:
, PMCID: PMC3712585.
Welter F, Schroder S, Leisten I, Richert A, Jeschke S. Scientific Performance Indicators–empirical results
from collaborative research centers and clusters of excellence in Germany. IRSPM 16th. Annual congress.
; 203-20. doi: 10.1007/978-3-319-08816-7-17.
Zhu J. Quantitative models for performance evaluation and benchmarking: data envelopment analysis with
spreadsheets. 2014, 1th edition, New York, 297. doi: 10.1007/978-3-319-06647-9.
Sabouri AA. Iranian Science Production in 2010. Quarterly Journal of Scientific Transplanting. 2011; 1(2):
-23.
Ghojazadeh M, Naghavi-Behzad M, Nasrolah-Zadeh R, Bayat-Khajeh P, Piri R, Mirnia K, et al.
Knowledge production status of Iranian researchers in the gastric cancer area: based on the medline
database. Asian Pac J Cancer Prev. 2014; 15(12): 5083-8. doi: 10.7314/APJCP.2014.15.12.5083. PMID:
Yaghoubi Farani A, Shariati MT. Factors affecting research center's performance: The case of research
centers of former of former ministry of Jihad-E-Sazanbegi. Ianian Agricultural Extension and Education
Journal. 2008; 3(2): 1-13.
Yadollahi M, Shamseddini N, Shayan L, Rezaianzadeh A, Bolandparvaz Sh. The Performance of Trauma
Research Centers of Iran during the Past 10 Years: A Science Monitor Survey. Bullettn Of Emergency and
Trauma Beat. 2014; 2(1): 44-51.
Azar A, Torkashvand AR. Assessing the teaching researching performance with the help of data
envelopment analysis model: teaching groups of humanity sciences faculty. Mod Hum Sci. 2006; 10(1): 1- 23.
Feng YJ, Lu H, Bi K. An AHP/DEA method for measurement of the efficiency of R&D management
activities in universities. Int Trans Oper Res. 2004; 11(2): 181-91. doi: 10.1111/j.1475-3995.2004.00450.x.
Dabbagh R. The comparison of research and total productivity of Iranian public universities. Iranian
Economic Research. 2011; 16(47): 75-104.
Afonso A, Santos M. A DEA approach to the relative efficiency of Portuguese public universities. Portu J
Manag St. 2008; 13(1): 67-87. doi: 10.2139/ssrn.744464.
Kuah CT, Wong KY. Efficiency assessment of universities through data envelopment analysis. Procedia
Computer Sci. 2011; 3: 499-506. doi: 10.1016/j.procs.2010.12.084.
Taylor B, Harris G. Relative efficiency among South African universities: A data envelopment analysis.
Hig Edu. 2004; 47(1): 73-89. doi: 10.1023/B:HIGH.0000009805.98400.
Abbott M, Doucouliagos C. The efficiency of Australian universities: a data envelopment analysis. Eco
Edu Rev. 2003; 22(1): 89-97. doi: 10.1016/S0272-7757(01)00068-1.
Zhigang G, Liutang C, Yuyu W. China's Regional Differences in Technical Efficiency and the
Decomposition of Total Factor Productivity Growth (1978—2003). Soc Sci Chin. 2006; 2(1): 1-25.
Azizinejad B, Pourheydari R. Factors Affecting Efficiency of Managers of Urumia Medical Sciences
University with Emphasis on Triple Management Skills. J Urm Nur Mid Fac. 2014; 12(7): 576-84.
Published
Issue
Section
License
Copyright (c) 2020 KNOWLEDGE KINGDOM PUBLISHING
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.