Efficiency and productivity change across the economic sectors in lithuania (2000–2010): The DEA–MULTIMOORA approach

Technological and Economic Development of Economy

Volumn 19, Issue , 2014, Pages S191-S213

  Baležentis, Tomas ^a   Misiūnas, Algimantas ^b   Baležentis, Alvydas ^c  

^a Lithuanian Institute of Agrarian Economics   (Lithuania)

^b VILNIUS UNIVERSITY   (Lithuania)

^c MYKOLAS ROMERIS UNIVERSITY   (Lithuania)

Author keywords

Efficiency; Malmquist productivity index; MULTIMOORA; Productivity change

Indexed keywords

EID: 84904864568     PISSN: 20294913     EISSN: 20294921     Source Type: Journal    
DOI: 10.3846/20294913.2013.881431     Document Type: Article

References (43)

1. Atici, K. B.; Ulucan, A. 2011. A multiple criteria energy decision support system, Technological and Economic Development of Economy 17(2): 219–245. http://dx.doi.org/10.3846/20294913.2011.580563
2. Baležentis, A.; Baležentis, T.; Misiūnas, A. 2012. An integrated assessment of Lithuanian economic sectors based on financial ratios and fuzzy MCDM methods, Technological and Economic Development of Economy 18(1): 34–53. http://dx.doi.org/10.3846/20294913.2012.656151
3. Banker, R. D.; Charnes, A.; Cooper, W. W. 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science 30(9): 1078–1092. http://dx.doi.org/10.1287/mnsc.30.9.1078
4. Bogetoft, P.; Otto, L. 2011. Benchmarking with DEA, SFA, and R. International Series in Operations Research and Management Science, Vol. 157. Springer. 352 p.
5. Bojnec, S.; Latruffe, L. 2011. Farm size and efficiency during transition: insights from Slovenian farms, Transformations in Business & Economics 10(3): 104–116.
6. Brauers, W. K. M.; Zavadskas, E. K. 2006. The MOORA method and its application to privatization in a transition economy, Control and Cybernetics 35: 445–469.
7. Brauers, W. K. M.; Zavadskas, E. K. 2010. Project management by MULTIMOORA as an instrument for transition economies, Technological and Economic Development of Economy 16(1): 5–24. http://dx.doi.org/10.3846/tede.2010.01
8. Brauers, W. K. M.; Zavadskas, E. K. 2011. MULTIMOORA optimization used to decide on a bank loan to buy property, Technological and Economic Development of Economy 17(1): 174–188. http://dx.doi.org/10.3846/13928619.2011.560632
9. Brauers, W. K. M.; Zavadskas, E. K. 2012. Robustness of MULTIMOORA: a method for multi-objective optimization, Informatica 23(1): 1–25.
10. 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(6): 1393–1414. http://dx.doi.org/10.2307/1913388
11. Chakraborty, S. 2011. Applications of the MOORA method for decision making in manufacturing environment, International Journal of Advanced Manufacturing Technology 54(9–12): 1155–1166. http://dx.doi.org/10.1007/s00170-010-2972-0
12. Charnes, A.; Cooper, W. W.; Rhodes, E. 1978. Measuring the efficiency of decision making units, European Journal of Operational Research 2(6): 429–444. http://dx.doi.org/10.1016/0377-2217(78)90138-8
13. Charnes, A.; Cooper, W. W.; Rhodes, E. 1981. Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through, Management Science 27(6): 668–697. http://dx.doi.org/10.1287/mnsc.27.6.668
14. Coelli, T. J.; Rao, D. S. P.; O’Donnell, C. J.; Battese, G. E. 2005. An introduction to efficiency and productivity analysis. Springer. 349 p.
15. Cooper, W. W.; Seiford, L. M.; Tone, K. 2007. Data envelopment analysis: a comprehensive text with models, applications, references and DEA–Solver software. 2nd ed. Springer. 490 p.
16. Debreu, G. 1951. The coefficient of resource utilization, Econometrica 19(3): 273–292. http://dx.doi.org/10.2307/1906814
17. European Commission. 2011. European Competitiveness Report 2011. Commission staff working document SEC(2011) 1188. Luxembourg: Publications Office of the European Union. http://dx.doi.org/10.2769/30346
18. Fare, R.; Grosskopf, S.; Lindgren, B.; Roos, P. 1992. Productivity changes in Swedish pharmacies 1980–1989: a non-parametric Malmquist approach, Journal of Productivity Analysis 3(1–2): 85–101. http://dx.doi.org/10.1007/BF00158770
19. Fare, R.; Grosskopf, S.; Margaritis, D. 2008. Efficiency and productivity: Malmquist and more, in Fried, H. O.; Lovell, C. A. K.; Schmidt, S. S. (Eds.). The Measurement of Productive Efficiency and Productivity. New York, Oxford University Press, 522–621. http://dx.doi.org/10.1093/acprof:oso/9780195183528.003.0005
20. Fare, R.; Grosskopf, S.; Norris, M.; Zhang, Z. 1994. Productivity growth, technical progress, and efficiency change in industrialized countries, American Economic Review 84: 66–83.
21. Farrell, M. J. 1957. The measurement of technical efficiency, Journal of the Royal Statistical Society, Series A 120(3): 253–281. http://dx.doi.org/10.2307/2343100
22. Fried, H. O.; Lovell, C. A. K.; Schmidt, S. S. 2008. Efficiency and productivity, in Fried, H. O.; Lovell, C. A. K.; Schmidt, S. S. (Eds.). The Measurement of Productive Efficiency and Productivity. New York, Oxford University Press, 3–91. http://dx.doi.org/10.1093/acprof:oso/9780195183528.003.0001
23. Hajiagha, S. H. R.; Akrami, H.; Zavadskas, E. K.; Hashemi, S. S. 2013. An intuitionistic fuzzy data envelopment analysis for efficiency evaluation under ucertainty: case of a finance and credit institution, E + M Ekonomie a Management (1): 128–137.
24. Ippoliti, R.; Falavigna, G. 2012. Efficiency of the medical care industry: evidence from the Italian regional system, European Journal of Operational Research 217(3): 643–652. http://dx.doi.org/10.1016/j.ejor.2011.10.010
25. Jack, L.; Boone, J. 2009. Sustainable change and benchmarking in the food supply chain, in Jack, L. (Ed.). Benchmarking in Food and Farming. Gower, 1–8.
26. Kalirajan, K. P.; Shand, R. T. 2002. Frontier production functions and technical efficiency measures, Journal of Economic Surveys 13(2): 149–172. http://dx.doi.org/10.1111/1467-6419.00080
27. Koopmans, T. C. 1951. An analysis of production as an efficient combination of activities, in Koopmans, T. C. (Ed.). Activity Analysis of Production and Allocation. Cowles Commission for Research in Economics, Monograph No. 13. New York: Wiley.
28. Latruffe, L. 2010. Competitiveness, productivity and efficiency in the agricultural and agri-food sectors. OECD Food, Agriculture and Fisheries Working Papers, No. 30, OECD Publishing. http://dx.doi.org/10.1787/5km91nkdt6d6-en
29. Malmquist, S. 1953. Index numbers and indifference surfaces, Trabajos de Estatistica 4(2): 209–242. http://dx.doi.org/10.1007/BF03006863
30. Margono, H.; Sharma, S. C.; Sylwester, K.; Al-Qalawi, U. 2011. Technical efficiency and productivity analysis in Indonesian provincial economies, Applied Economics 43(6): 663–672. http://dx.doi.org/10.1080/00036840802599834
31. Murillo-Zamorano, L. R. 2004. Economic efficiency and frontier techniques, Journal of Economic Surveys 18(1): 33–45. http://dx.doi.org/10.1111/j.1467-6419.2004.00215.x
32. Piesse, J.; Thirtle, C. 2000. A stochastic frontier approach to firm level efficiency, technological change, and productivity during the early transition in Hungary, Journal of Comparative Economics 28(3): 473–501. http://dx.doi.org/10.1006/jcec.2000.1672
33. Ray, S. C. 2004. Data envelopment analysis: theory and techniques for economics and operations research. Cambridge University Press. 353 p. http://dx.doi.org/10.1017/CBO9780511606731
34. Ray, S. C.; Desli, E. 1997. Productivity growth, technical progress, and efficiency change in industrialized countries: comment, American Economic Review 87: 1033–1039.
35. Ramanathan, R. 2003. An introduction to data envelopment analysis: a tool for performance measurement. Sage Publications. 201 p.
36. Scharlig, A. 1985. Décider sur plusieurs criteres. Lausanne: Presses Polytechniques Romandes. 304 p.
37. Shepard, R. W. 1953. Cost and production functions. Princeton, New Jersey: Princeton University Press. 104 p.
38. Simar, L.; Wilson, P. W. 1998. Productivity growth in industrialized countries. Discussion Paper #9810, Institut de Statistique, Universite Catholique de Louvain, Louvain-la-Neuve, Belgium.
39. Statistics Lithuania. 2012. Indicator database [online], [cited 1 September 2012]. Available from Internet: http://db1.stat.gov.lt/
40. Tohidi, G.; Razavyan, S.; Tohidnia, S. 2012. A global cost Malmquist Productivity index using data envelopment analysis, Journal of the Operational Research Society 63: 72–78. http://dx.doi.org/10.1057/jors.2011.23
41. Wheelock, D. C.; Wilson, P. W. 1999. Technical progress, inefficiency, and productivity change in U.S. banking, 1984–1993, Journal of Money, Credit, and Banking 31(2): 212–234. http://dx.doi.org/10.2307/2601230
42. Wilson, P. W. 2010. FEAR 1.15 User’s Guide. Clemson University, Clemson, South Carolina.
43. Zavadskas, E. K.; Turskis, Z. 2011. Multiple criteria decision making (MCDM) methods in economics: an overview, Technological and Economic Development of Economy 17(2): 397–427. http://dx.doi.org/10.3846/20294913.2011.593291