Evaluating the performance of OECD countries in the Covid-19 epidemic by network data envelopment analysis

Subject Areas : International Journal of Data Envelopment Analysis

Bijan Rahmani Parchikolaei ¹ , Farshad HosseinzadehLotfi ²

1 - Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Department of Medical Engineering, Science and Research Unit, Islamic Azad University, Tehran, Iran

Received: 2021-03-17 Accepted : 2021-06-26 Published : 2021-11-01

Keywords:

References:

[1] Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444.

 

[2] Despotis K. D, Koronakos G, Sotiros   D. (2014) Composition versus decomposition in two-stage network DEA: a reverse approach.  J Prod Anal.

 

[3] Kao C, Hwang S-N (2008) Efficiency decomposition in two-stage data envelopment analysis: an application to non-life insurance companies in Taiwan. Eur J Oper Res 185:418–429.

 

[4] Chen Y, Cook WD, Li N, Zhu J (2009) Additive efficiency decomposition in two-stage DEA. Eur J Oper Res 196:1170–1176.

 

[5] Charnes, A. Cooper, W.W. Golany, B. Halek, R. Klopp, G. Schmitz, E. Thomas, D. (1986) Two phase data envelopment analysis approach to policy evaluation and management of army recruiting activities: tradeoffs between joint services and army advertising. Research Report CCS no. 532, Center for Cybernetic Studies, The University of Texas, Austin, Texas.

 

[6] Wang, C.H. Gopal, R. Zionts, S. (1997) Use of data envelopment analysis in assessing information technology impact on firm performance. Ann. Oper. Res. 73, 191–213.

 

[7] Fare R, Grosskopf S (1996) Productivity and intermediate products: a frontier approach. Econ Lett 50:65–70.

 

[8] Wang Y.M, Chin K, S, (2010) Some alternative DEA models for two-stage process. Expert sys.Appl. 37(12) 8799-8808.

 

[9] Fare, R. Grosskopf S., (2000) Network DEA. Soc. Econ. Plann. Sci. 34(1), 35–49.

 

[10] Cook W.D, Liang L, Zhu J, (2010) Measuring performance of two-stage networkstructures by DEA: a review and future perspective, Omega 38 423–430.

 

[11] Castelli L, Pesenti R, Ukovich W (2010) A classification of DEA models when the internal structure of the decision making units is considered. Ann Oper Res 173:207–235.

 

[12] Liang, L. Cook, W.D. Zhu, J. (2008)DEA models for two-stage processes: game approach and efficiency decomposition. Nav. Res. Logist. 55, 643–653.

 

[13] Chen Y, Cook WD, Kao C, Zhu J (2013) Network DEA pitfalls: =divisional efficiency and frontier projection under general network structures. Eur J Oper Res 226:507–515.

 

[14] Zha, Y. Liang L., (2010) Two-stage cooperation model with input freely distributed among the stages. Eur. J. Oper. Res. 205, 332–338.

 

[15] Chen Y, Cook WD, Zhu J (2010) Deriving the DEA frontier for two stage DEA processes. Eur J Oper Res 202:138–142.

 

[16] Guo, C. Shureshjani R.A., Foroughi A.A, Zhu, J. (2017) Decomposition weights and overall efficiency in two-stage additive network DEA. Eur. J. Oper. Res. 257(3), 896–906.

 

[17] Tsolas, I.E. (2013) Modeling profitability and stock market performance of listed construction firms on the Athens Exchange: two-stage DEA approach. J. Construct. Eng. Manag. 139, 111–119.

 

[18] Kao C, Hwang S-N (2011) Decomposition of technical and scale efficiencies in two-stage production systems. Eur J Oper Res 211:515–519.

 

[19] Cao, X. Yang, F.Measuring the performance of Internet companies using a two-stage data envelopment analysis model. Enterp. Inf. Syst. 5(2), 207–217 (2011).