USE OF DEA-METHOD FOR RESEARCH OF EFFICIENCY OF ENTERPRISE ACTIVITY
Abstract
Purpose of research – the purpose of the work is to describe the features of the DEA method and its possible use for the analysis of real data of enterprises under the "cost-output" scheme and improve their efficiency.
Methodology – it is based on the use of linear programming algorithms. The peculiarity lies in the creation of a separate model for each enterprise and definitions of effective enterprises.
Originality – it consists in the identification of efficient and inefficient enterprises on the basis of specific data describing the cost of resources and output. At the same time, reference enterprises are identified among those that are effective for lagging enterprises in order to determine the degree of cost reduction to achieve efficiency.
Summary – they describe the essence of the DEA-method which is based on the principles of linear programming. The article considers the data of enterprises working in the construction sector of Kazakhstan and determines their effectiveness. 4 enterprises the data of which was analyzed three companies were effective and one was ineffective. Determined the reference of the company values which are a guideline of the necessary cost reductions. The indicators that will allow to become an effective enterprise are calculated.
About the Authors
Z. P. AidynovKazakhstan
Candidate of economic sciences senior lecturer of the department «Management»
Astana
N. S. Nurkasheva
Kazakhstan
Candidate of economic sciences, Associate Professor of the «Accounting, Audit and Evaluation» Department
Almaty
Zh. S. Bulhairova
Kazakhstan
Doctor PhD, senior lecturer of the department «Management»
Astana
References
1. Charnes A. Cooper W.W., Golany B. Et al. Identification of Pareto-efficient facets in Data Envelopment Analysis Foundations of data envelopment for Pareto-Koopmans efficient productions functions // Journal of Economics. – 1985. -Vol.30. Pp.91-107.
2. Krivonozhko V.Ye., Lychev A.V. Analiz deyatel'nosti slozhnykh sotsial'no-ekonomicheskikh sistem: Uchebnoye posobiye. – M.:Maks Press. – 2010. – 208 s.
3. Joe Zhu. Quantitative Models for Performance Evaluation and Benchmarking. - Springer Cham Heidelberg New York Dordrecht London, 2014.- 319 p.
4. Porunov A.N.Otsenka sravnitel'noy effektivnosti gosudarstvennogo menedzhmenta ekologicheskoy bezopasnosti v regione metodom DEA-analiza // Nauchnyy zhurnal NIU ITMO. Seriya «Ekonomika i ekologicheskiy menedzhment». – 2016. – № 1. – S.104-111.
5. Banker R.D. Charnes A., Cooper W.W. Estimation of returns to scale using Data Evolopment Analysis Europian // Journal of Operational Research. – 1992. – Vol:62. pp.74-84.
6. Banker R.D., Maindiratta A. Piecewise log linear estimation of efficient production surfaces // Management Science. – 1986. – Vol.32, no.1. pp.126-135.
7. Akulich I.L. Matematicheskoye programmirovaniye v primerakh i zadachakh: Uchebnik. – M.: «Vysshaya shkola», 1986. – 319 s.
8. Kontorovich L.V., Gorstko A.B. Matematicheskoye optimal'noye programmirovaniye v ekonomike: Uchebnik. – M.: Znaniye, 1968. – 96 s.
9. Ivanilov YU.P., Lotov A.V. Matematicheskiye modeli v ekonomike: Uchebnoye posobiye. – M.: Nauka,1979. – 304 s.
10. Brockett P.L., Charnes A.,Cooper W.W. et al.Data transformations in DEA cone ratio envolopment approaches for monitoring bank performance // European Journal of Operational Research. – 1997. – Vol.98, no.2. pp.250-268.
11. Charnes A.,Cooper W.W., Huang Z.M., Sun D.B.Polyhedral Cone-Ratio DEA Models with an Illustrative Application to Large Commercial Banks // Journal of Econometrics. – 1990. – Vol.46. no.1-2. pp.73-91.
12. Charnes A., Cooper W.W., Rhodes E. Measuring of efficiency of decision making units // Europeans Journal of Operational Research. – 1978. – Vol.2., no.6. pp.429-444.
13. Volodin A.V., Krivonozhko V.Ye., Ryzhikh D.A. Postroyeniye trekhmernykh secheniy v analize effektivnosti slozhnykh mnogomernykh sistem na osnove parametricheskikh optimizatsionnykh algoritmov // Zhurnal vychislitel'noy matematiki i matematicheskoy fiziki. – 2004. – T.44. – №4. – S.623-639.
14. Verian KH.R. Mikroekonomika. Sovremennyy podkhod: Uchebnik. – M.: Yuniti,1997. – 767 s.
15. Kiseleva I.A. Kommercheskiye banki: modeli i informatsionnyye tekhnologii v protsedurakh prinyatiya resheniy: Uchebnik. M.:URSS, 2002. – 400 s.
Review
For citations:
Aidynov Z.P., Nurkasheva N.S., Bulhairova Zh.S. USE OF DEA-METHOD FOR RESEARCH OF EFFICIENCY OF ENTERPRISE ACTIVITY. Central Asian Economic Review. 2018;(4):17-25. (In Russ.)