APPLICATION OF WASPAS METHOD IN THE EVALUATION OF EFFICIENCY OF AGRICULTURAL ENTERPRISES IN SERBIA
DOI:
https://doi.org/10.5937/ekoPolj2102375LKeywords:
efficiency, agricultural enterprises of Serbia, determinants, AHP – WASPAS methodAbstract
Recently, as it is known, the evaluation of the efficiency of agricultural enterprises is being more and more performed on the basis of multi-criteria analysis. With this in mind, this paper analyzes the efficiency of agricultural enterprises in Serbia based on the WASPAS method. The goal and purpose of this is to address this issue as thoroughly as possible and propose adequate measures to improve the efficiency of agricultural enterprises in Serbia in the future. The obtained results of empirical research using the given method show that the efficiency of agricultural enterprises in Serbia has recently significantly improved. It was the best in 2018. It was positively influenced by numerous macro and micro factors.
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References
1. Bakić, S. (2020). Banks position from the aspect of financial indicators analysis. Oditor – časopis za menadžment, finansije i pravo, 6(2), 39-61. https://doi.org/10.5937/Oditor2002039B
2. Chakraborty, S., & Zavadskas, E.K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1- 20.
3. Chavas, J., & Aiiber, M. (1993). An Analysis of Economic Efficiency in Agriculture: A Nonparametric Approach. Journal of Agricultural and Resource Economics, 18, 1-16.
4. Hafezalkotob, A., Hami-Dindar, A., Rabie, N., & Hafezalkotob, A. (2018). A decision support system for agricultural machines and equipment selection: A case study on olive harvester machines. Computers and Electronics in Agriculture, 148, 207-216.
5. Kolagar, M. (2019). Adherence to Urban Agriculture in Order to Reach Sustainable Cities; a BWM–WASPAS Approach. Smart Cities, 2, 31–45.
6. Kutlu, G.F., & Kahraman, C. (2019). Extension of WASPAS with spherical fuzzy sets. Informatica, 30(2), 269–292.
7. Lukic, R. (2011). Estimates of economic performance of organic food retail trade. Economic research, 24(3), 157-169.
8. Lukic, R., Lalic, S., Suceska, A., Hanic, A., & Bugarcic, M. (2018). Carbon dioxide Emissions in retail food. Economics of Agriculture, 65(2), 859-874.
9. Lukic, R. & Hadrovic-Zekic, B. (2019). Evaluation of efficiency of trade companies in Serbia using the DEA approach. Proceedings of the 19 th International Scientific Conference BUSINESS LOGISTICS IN MODERN MANAGEMENT October 10-11, Osijek, Croatia, Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 145-165.
10. Lukic, R, Hadrovic Zekic, B. & Crnjac Milic, D. (2020a). Financial performance evaluation of trading companies in Serbia using the integrated Fuzzy AHP – TOPSIS Approach. 9th INTERNATIONAL SCIENTIFIC SYMPOSIUM REGION, ENTREPRENEURSHIP, DEVELOPMENT, Under the auspices of: REPUBLIC OF CROATIA MINISTRY OF SCIENCE AND EDUCATION, Osijek, June, 690-703.
11. Lukic, R., Vojteski Kljenak, D., & Anđelić, S. (2020b). Analyzing financial performances and efficiency of the retail food in Serbia by using the AHP-TOPSIS method. Economics of Agriculture, 67(1), 55-68.
12. Lukic, R. (2020c). Analysis of the efficiency of trade in oil derivaties in Serbia by applying the Fuzzy AHP-TOPSIS method. Business Excellence and Management, 10(3), 80-98.
13. Lukic, R., Hanic, H., & Bugarcic, M. (2020d), Analysis of Profitability and Efficiency of Trade in Serbia. Economic Analysis, 53(2), 39-50.
14. Lukic, R. (2020e). Analysis of food retail efficiency in Serbia. Maso International, 1, 7-16.
15. Lukic, R., Vojteski Kljenak, D., & Anđelic, S. (2020f). Analyzing financial performances and efficiency of the retail food in Serbia by using the AHP-TOPSIS method. Economics of Agriculture, 67(1), 55-68.
16. Petrovic, G., Mihajlovic, J., Cojbasic, Z., Madic, M., & Marinkovic, D. (2019). Comparison of three fuzzy MCDM methods for solving the supplier selection problem. Facta Univ. Ser. Mech. Eng., 17, 455–469.
17. Saaty, T.L. (2008). Decision Making With The Analytic Hierarchy Process. Int J Serv Sci, 1(1), 83-98.
18. Turskis, Z., Zavadskas, E.K., Antucheviciene, J., & Kosareva, K. (2015). A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection. International journal of compjuters communications & control, 10(6), 113-128.
19. Urosevic, S., Karabasevic, D., Stanujkic, D., & Maksimovic, M. (2017). An Approach Personel Selection in the Tourism Indystry Based on the SWARA and the WASPAS Methods. Economic computation and economic cybernetics studies and research, 51(1), 75-88.
20. Vojteski Kljenak, D., Lukic, R., Gavric, G., & Gavrilovic, M. (2019). The operative margin and interest cost in retail food. Economics of Agriculture, 66(3), 799-810.
21. Zavadskas, E.K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of Weighted Aggregated Sum Product Assessment. Electronics and Electrical engineering, 6(122), 3-6.
22. Zavadskas, E.K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013a). Multicriteria assessment of facades alternatives: peculiarities of ranking methodology. Procedia Engineering, 57, 107-112.
23. Zavadskas, E.K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013b). MCDM methods WASPAS and MULTIMOORA: verification of robustness of methods when assessing alternative solutions. Economic Computation and Economic Cybernetics Studies and Research, 47(2), 5-20.
24. Zhang, H., Guo, S., Qian, Y., Liu, Y., & Lu, C. (2020). Dynamic analysis of agricultural carbon emissions efficiency in Chinese provinces along the Belt and Road. PLoS ONE, 15(2), e0228223. https://doi.org/10.1371/journal.pone.0228223
2. Chakraborty, S., & Zavadskas, E.K. (2014). Applications of WASPAS method in manufacturing decision making. Informatica, 25(1), 1- 20.
3. Chavas, J., & Aiiber, M. (1993). An Analysis of Economic Efficiency in Agriculture: A Nonparametric Approach. Journal of Agricultural and Resource Economics, 18, 1-16.
4. Hafezalkotob, A., Hami-Dindar, A., Rabie, N., & Hafezalkotob, A. (2018). A decision support system for agricultural machines and equipment selection: A case study on olive harvester machines. Computers and Electronics in Agriculture, 148, 207-216.
5. Kolagar, M. (2019). Adherence to Urban Agriculture in Order to Reach Sustainable Cities; a BWM–WASPAS Approach. Smart Cities, 2, 31–45.
6. Kutlu, G.F., & Kahraman, C. (2019). Extension of WASPAS with spherical fuzzy sets. Informatica, 30(2), 269–292.
7. Lukic, R. (2011). Estimates of economic performance of organic food retail trade. Economic research, 24(3), 157-169.
8. Lukic, R., Lalic, S., Suceska, A., Hanic, A., & Bugarcic, M. (2018). Carbon dioxide Emissions in retail food. Economics of Agriculture, 65(2), 859-874.
9. Lukic, R. & Hadrovic-Zekic, B. (2019). Evaluation of efficiency of trade companies in Serbia using the DEA approach. Proceedings of the 19 th International Scientific Conference BUSINESS LOGISTICS IN MODERN MANAGEMENT October 10-11, Osijek, Croatia, Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 145-165.
10. Lukic, R, Hadrovic Zekic, B. & Crnjac Milic, D. (2020a). Financial performance evaluation of trading companies in Serbia using the integrated Fuzzy AHP – TOPSIS Approach. 9th INTERNATIONAL SCIENTIFIC SYMPOSIUM REGION, ENTREPRENEURSHIP, DEVELOPMENT, Under the auspices of: REPUBLIC OF CROATIA MINISTRY OF SCIENCE AND EDUCATION, Osijek, June, 690-703.
11. Lukic, R., Vojteski Kljenak, D., & Anđelić, S. (2020b). Analyzing financial performances and efficiency of the retail food in Serbia by using the AHP-TOPSIS method. Economics of Agriculture, 67(1), 55-68.
12. Lukic, R. (2020c). Analysis of the efficiency of trade in oil derivaties in Serbia by applying the Fuzzy AHP-TOPSIS method. Business Excellence and Management, 10(3), 80-98.
13. Lukic, R., Hanic, H., & Bugarcic, M. (2020d), Analysis of Profitability and Efficiency of Trade in Serbia. Economic Analysis, 53(2), 39-50.
14. Lukic, R. (2020e). Analysis of food retail efficiency in Serbia. Maso International, 1, 7-16.
15. Lukic, R., Vojteski Kljenak, D., & Anđelic, S. (2020f). Analyzing financial performances and efficiency of the retail food in Serbia by using the AHP-TOPSIS method. Economics of Agriculture, 67(1), 55-68.
16. Petrovic, G., Mihajlovic, J., Cojbasic, Z., Madic, M., & Marinkovic, D. (2019). Comparison of three fuzzy MCDM methods for solving the supplier selection problem. Facta Univ. Ser. Mech. Eng., 17, 455–469.
17. Saaty, T.L. (2008). Decision Making With The Analytic Hierarchy Process. Int J Serv Sci, 1(1), 83-98.
18. Turskis, Z., Zavadskas, E.K., Antucheviciene, J., & Kosareva, K. (2015). A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection. International journal of compjuters communications & control, 10(6), 113-128.
19. Urosevic, S., Karabasevic, D., Stanujkic, D., & Maksimovic, M. (2017). An Approach Personel Selection in the Tourism Indystry Based on the SWARA and the WASPAS Methods. Economic computation and economic cybernetics studies and research, 51(1), 75-88.
20. Vojteski Kljenak, D., Lukic, R., Gavric, G., & Gavrilovic, M. (2019). The operative margin and interest cost in retail food. Economics of Agriculture, 66(3), 799-810.
21. Zavadskas, E.K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of Weighted Aggregated Sum Product Assessment. Electronics and Electrical engineering, 6(122), 3-6.
22. Zavadskas, E.K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013a). Multicriteria assessment of facades alternatives: peculiarities of ranking methodology. Procedia Engineering, 57, 107-112.
23. Zavadskas, E.K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013b). MCDM methods WASPAS and MULTIMOORA: verification of robustness of methods when assessing alternative solutions. Economic Computation and Economic Cybernetics Studies and Research, 47(2), 5-20.
24. Zhang, H., Guo, S., Qian, Y., Liu, Y., & Lu, C. (2020). Dynamic analysis of agricultural carbon emissions efficiency in Chinese provinces along the Belt and Road. PLoS ONE, 15(2), e0228223. https://doi.org/10.1371/journal.pone.0228223
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Published
2021-06-24
How to Cite
Lukić, R., Vojteski Kljenak, D., Anđelic, S., & Gavrlilovic, M. (2021). APPLICATION OF WASPAS METHOD IN THE EVALUATION OF EFFICIENCY OF AGRICULTURAL ENTERPRISES IN SERBIA. Economics of Agriculture, 68(2), 375–388. https://doi.org/10.5937/ekoPolj2102375L
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