The application of DEA based malmquist productivity index in organizational performance analysis

International Research Journal of Finance and Economics

Volumn 62, Issue , 2011, Pages 68-76

  Mohammadi, Ali ^a   Ranaei, Habibollah ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Data envelopment analysis; Malmquist productivity; Technical efficiency; Technological change

Indexed keywords

EID: 79952206479     PISSN: 14502887     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (22)

1. Baker, R. C. & Talluri, S. (1997), A closer look at the use of data envelopment analysis for technology selection. Computers and Industrial Engineering, 32(1), 101-108.
2. Caves D.W., Christensen L.R. &. Diewert W.E, (1982), The economic theory of index numbers and the measurement of input, output and productivity, Econometrica 50, 1393-1414.
3. Charnes, A., Cooper, W. W., & Rhodes, E. (1978), Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
4. Cook W.D., Seiford L.M. (2009), Data envelopment analysis (DEA) - Thirty years on, European Journal of Operational Research 192 1-17
5. Cooper W.W., Ruiz J.L., Sirvent I., (2007), Choosing weights from alternative optimal solutions of dual multiplier models in DEA, European Journal of Operational Research 180,443-458.
6. Cooper, W. W., Seiford, L. M., & Tone, K. (2000), Data envelopment analysis. Boston, USA: Kluwer Academic Publishers.
7. Duzakin E., Duzakin H., (2007), Measuring the performance of manufacturing firms with super slacks based model of data envelopment analysis: an application of 500 major industrial enterprises in Turkey, European Journal of Operational Research 182,1412-1432.
8. Fare, R., Grifell-Tatjé, S.E., Grosskopf, S., Lovell, C.A.K., (1997), Biased technical change and the Malmquist productivity index. Scandinavian Journal of Economics 99, 119-127.
9. Fare, R., S. Grosskopf and C. A. K. Lovell (1994a), Production Frontiers. New York and Cambridge: Cambridge University Press.
10. Fare, R., Grosskopf, S., Norris, M., Zhang, Z., (1994b), Productivity growth, technical progress and efficiency change in industrialized countries. American Economic Review 84, 66-83.
11. Fare, R., Grosskopf, S., Roos, P., (1998), Malmquist productivity indexes: a survey of theory and practice. In: Fare, R., Grosskopf, S., Russell, R.R. (Eds.), Index Numbers: Essays in Honour of Sten Malmquist. Kluwer Academic Publishers, Boston.
12. Fare, R., S. Grosskopf, B. Lindgren and P. Roos (1995), Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach, in A. Charnes, W. W. Cooper, A. Y. Lewin and L. M. Seiford, eds., Data Envelopment Analysis: Theory, Methodology and Applications. Boston: Kluwer Academic Publishers.
13. Førsund, F. R. (1991), The Malmquist Productivity Index, paper presented at the Second European Workshop on Efficiency and Productivity Measurement, CORE, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.
14. Johnes J. & Yu L. (2008), Measuring the research performance of Chinese higher education institutions using data envelopment analysis, China Economic Review 19 679-696
15. Kao, Chiang (2010), Malmquist productivity index based on common-weights DEA: The case of Taiwan forests after reorganization, /Omega 38 484-491
16. Kortelainen, Mika (2008), Dynamic environmental performance analysis: A Malmquist index approach, Ecological Economics, 64,701-715.
17. Maniadakis N., E. Thanassoulis (2004), A cost Malmquist productivity index, European Journal of Operational Research 154 396-409
18. Nishimizu M., Page J.M. (1982), Total factor productivity growth. Technological progress and technical efficiency change: Dimensions ofproductivit y change in Yugoslavia, 1965-78, The Economic Journal 92,920-936.
19. Podinovski V.V., (2007), Computation of efficient targets in DEA models with production trade-offs and weight restrictions, European Journal of Operational Research 181, 586-591.
20. Wagner J.M., Shimshak D.G. (2007), Stepwise selection of variables in data envelopment analysis: Procedures and managerial perspectives, European Journal of Operational Research 180 57-67
21. Zhou P., Poh K.L., Ang B.W., (2007), A non-radial DEA approach to measuring environmental performance, European Journal of Operational Research 178, 1-9.
22. Zhu, J., (2002). Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets. Kluwer Academic Publishers, Boston.