Sažetak
Najvažniji aspekt svakog poslovanja jeste efikasnost. Cilj je da se uz što manje ulaze postignu što veći izlazni rezultati, tj. raspoloživi ulazi maksimalno iskoriste. Brojne matematičko-statističke procedure, poput tehnike DEA (Data Envelopment Analysis) analize, zauzimaju značajno mesto u procesu merenja efikasnog upravljanja preduzećima i njegovim aktivnostima. U radu je ilustrovana primena DEA tehnike u oceni efikasnosti poslovanja MSP u agrobiznisu u Vojvodine. Merenje efikasnosti poslovanja malih i srednjih preduzeća se zasniva na vrednostima sledećih pokazatelja: stalna imovina, obrtna sredstva, broj firmi, broj zaposlenih, ukupan prihod, dobit i gubitak. Podaci koji se koriste za izračunavanje vrednosti pokazatelja efikasnosti poslovanja dobijeni su iz Zavoda za Statistiku, a na osnovu završnih računa MSP u agrobiznisu za četvrogodišnji prosek (2008-2011 god.). Cilj istraživanja ovog rada je, najpre statističko ocenjivanje efikasnosti poslovanja MSP u agrobiznisu primenom DEA tehnike, a zatim da se na osnovu dobijenih rezultata izvrši rangiranje opština Vojvodine kojima pripadaju posmatrana MSP i najzad da se na osnovu 4 modela pokaže koliko je DEA tehnika osetljiva metodologija na promenu kombinacija ulazno/izlaznih indikatora, zbog čega se mora biti vrlo obazriv u primeni iste. Što je kombinacija parametara u modelu bolja to su i rezultati realniji, jer ako se izostavi neki ključan parametar mogu se doneti pogrešne odluke.
Ključne reči
Array
Array
Array
Array
Array
Array
Array
Reference
Andersen P. & Petersen N. A. (1993): A Procedure for Ranking Efficient Units in Data Envelopment Analysis, Management Science, 39(10), 1261-1264.
Bulajić M., Savić G., Savic S., Mihailović N., Martić M. (2011a): Efficiency assessment of banks in Serbia. TTEM- Technics Technologies Education Management, Bosnia and Herzegovina, Sarajevo, 6 (3), 657-662.
Bulajić M., Savić G. & Savić S. (2011b): DEA approach in ranking the banks in Serbia. Paper presented at the XXXVIII Symposium on Operational Research. Faculty of Economics, University of Belgrade. The Proceedings SYMOPIS-2011, (pp.134-137).
Ceranic S. & Maletic R. (2010): Small and medium enterprises as development factor of agribusiness in Republic of Serbia. Apstract magazin, Hungary, 4 (3-4), 45-50.
Gverovski, M., Risteska A. & Dimeski S. (2011): Small and medium enterprises: economic development drivers. Management, 16 (59), 87-94.
Jirong, E., & Gail (1996): ). A Shadow-Price Frontier Measurement of Profit Efficiency in Chinese Agriculture. American Journal of Agricultural Economics, 78(1), 146-156.
Lilienfeld A. & Asmild M. (2007): Estimation of excess water use in irrigated agriculture: A Data Envelopment Analysis approach. Agricultural water management, 94, 73–82.
Maletic R., Ceranic S. & Popovic B. (2011): Small and medium enterprises as factors in reducing poverty in rural communities Serbian, Economics of Agriculture, Belgrade, 57 (1), 121-132.
Maletic R., Kreca M. & Bucalo D. (2012): DEA technique in a function of measuring banks efficiency. Paper presented at the "Life Cycle Engineering and Management", The Proceedings DQM-2012, pp.429-435, Belgrade
Maletic R., Maletic P., Kreca M. & Popovic B. (2013): Comparative analysis of ranking municipalities in Vojvodina using DEA and I-distance methods. Int. J. Agricult. Stat. Sci., 9 (2): 471-480.
Milind S. (2003): Efficiency of banks in a developing economy: The case of India. European Journal of Operational Research, 148 (3), 662-671.
Mihailovic, N., Bulajic, M., & Savic, G. (2009). Ranking of banks in Serbia. YUJOR, 19 (2), 323-334.
Mohamed M. (2006): Modeling the efficiency of GCC banks: a data envelopment analysis approach. International Journal of Productivity and Performance Management 56 (7), 623-643. Doi: 10.1108/17410400710823651
Monchuk C.D., Chen Z. & Bonaparte Y. (2010): Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping. China Economic Review, 21 (2), 346–354.
Popovic B., Maletic R., Ceranic S., Paunovic T. & Jankovic-Soja S. (2011): Defining homogenous areas of Serbia based on development of SME in agribusiness using the cluster analysis. TTEM - Technics Technologies Education Management, Bosnia and Herzegovina, Sarajevo, 6, (3), 811-818.
Shenngen F. & Xiaobo Z. (2002): Production and productivity growth in Chinese Agriculture: New National and Regional Measures. Economic Development and Cultural Change, The University of Chicago.
Scheel H. (2000): EMS - Efficiency Measurement System User’s Manual. Version 1.3. http://www.wiwi.uni-jena.de/Mikro/pdf/ems.pdf, April 10, 2014
Vennesland B (2005): Measuring rural economic development in Norway using data envelopment analysis.