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Ekonomika poljoprivrede
2019, vol. 66, br. 4, str. 965-974
jezik rada: engleski
vrsta rada: izvorni naučni članak
objavljeno: 28/01/2020
doi: 10.5937/ekoPolj1904965M
Creative Commons License 4.0
A two-stage DEA model to evaluate agricultural efficiency in case of Serbian districts
(naslov ne postoji na srpskom)
aUniverzitet u Novom Sadu, Ekonomski fakultet, Subotica
bDimitrie Cantemir Christian University, Bucharest, Romania
cPetroleum-Gas University of Ploiesti, Bucharest, Romania

e-adresa: amarcikic@ef.uns.ac.rs, radovanovb@ef.uns.ac.rs, popescu_ucdc@yahoo.com, c.panaitescu@gmail.com

Sažetak

(ne postoji na srpskom)
Since the efficient agricultural sector is one of the most important drivers of country's economic development, the main objective of this paper was to examine relative technical efficiency of agricultural production in 25 Serbian districts using two-stage data envelopment analysis. Results of this research indicate that the efficiency score values lie between 70% and 100%, therefore it can be concluded that the agricultural sector of Serbia performs at a high level of efficiency, with the average efficiency score of 90%. The lowland region of Vojvodina is characterized with the highest efficiency scores, while districts in the southeastern part of Serbia have the lowest efficiency score values. Furthermore, the Tobit regression model was applied that one may examine the drivers of technical efficiency scores. The results show the significance of agricultural training among farm managers, land irrigation and age of farm holders in altering agricultural efficiency among Serbian districts.

Ključne reči

Efficiency analysis; Agriculture; Two-stage DEA; Tobit Regression; districts of Serbia

Reference

Bagchi, M., Rahman, S., Shunbo, Y. (1987) Growth in agricultural productivity and Its components in Bangladeshi Regions (1987-2009): An application of bootstrapped Data Envelopment Analysis (DEA). Economies, 7(2); 1-16
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
Bojnec, Š., Fertő, I., Jámbor, A., Tóth, J. (2012) Determinants of technical efficiency in agriculture in new EU member states from Central and Eastern Europe. Acta Oeconomica, 64(2): 197-217
Ciric, Z., Stojic, D., Sedlak, O., Marcikic, H.A., Kleut, Z. (2019) Innovation model of agricultural technologies based on intuitionistic Fuzzy Sets. Sustainability, 11(19): 5457-5457
Fazekaš, T., Bobera, D., Ćirić, Z. (2017) Ecologically and economically sustainable agricultural transportation based on advanced information technologies. Economics of Agriculture, vol. 64, br. 2, str. 739-751
Galluzzo, N. (2017) Efficiency analysis in different typologies of farming in Italian FADN dataset. Economics of Agriculture, vol. 64, br. 2, str. 451-465
Ghaderi, Z., Menhaj, M.H., Kavoosi-Kalashami, M., Sanjari, S.M. (2019) Efficiency analysis of traditional tea farms in Iran. Economics of Agriculture, vol. 66, br. 2, str. 423-436
Greene, W.H. (2003) Econometric analysis: Fifth edition. New Jersey: Prentice Hall
Hoff, A. (2007) Second stage DEA: Comparison of approaches for modelling the DEA score. European Journal of Operational Research, 181(1): 425-435
Idris, N.D.M., Siwar, C., Talib, B. (2013) Determinants of technical efficiency on pineapple farming. American Journal of Applied Sciences, 10(4): 426-432
Ilić, I., Petrevska, I. (2018) Using DEA method for determining tourism efficiency of Serbia and the surrounding countries. Menadžment u hotelijerstvu i turizmu, vol. 6, br. 1, str. 73-80
Kocisova, K. (2015) Application of the DEA on the measurement of efficiency in the EU countries. Agricultural Economics -Czech, 61(2): 51-62
Lekić, N., Savić, G., Knežević, S., Mitrović, A. (2018) The efficiency analysis in small wineries in the Republic of Serbia. Economics of Agriculture, vol. 65, br. 4, str. 1529-1544
McDonald, J. (2009) Using least squares and tobit in second stage DEA efficiency analyses. European Journal of Operational Research, 197(2): 792-798
Moreno-Moreno, J., Velasco, M.F., Sanz, D.M.T. (2018) Assessment of the operational and environmental efficiency of agriculture in Latin America and the Caribbean. Agric. Econ. -Czech, 64(2): 74-88
Nowak, A., Kijek, T., Domańska, K. (2015) Technical efficiency and its determinants in the European Union. Agricultural Economics, 61(No. 6): 275-283
Pang, J., Chen, X., Zhang, Z., Li, H. (2016) Measuring eco-efficiency of agriculture in China. Sustainability, 8(4): 398-398
Popović, R., Panić, D. (2018) Technical efficiency of Serbian dairy processing industry. Economics of Agriculture, vol. 65, br. 2, str. 569-581
Raheli, H., Rezaei, R.M., Jadidi, M.R., Mobtaker, H.G. (2017) A two-stage DEA model to evaluate sustainability and energy efficiency of tomato production. Information Processing in Agriculture, 4(4): 342-350
Ray, S. (1988) Data envelopment analysis, nondiscretionary inputs and efficiency: An alternative interpretation. Socio-Economic Planning Sciences, 22(4): 167-176
Saiyut, P., Bunyasiri, I., Sirisupluxana, P., Mahathanaseth, I. (2018) The impact of age structure on technical efficiency in Thai agriculture. Kasetsart Journal of Social Sciences, 1: 1-7
Shanmugam, K., Ventkataramani, A. (2006) Technical efficiency in agricultural production and Its determinants: An exploratory study at the district level. Indian Journal of Agricultural Economics, 61(2): 169-184
Silva, A.V., Costa, M.A., Lopes, A.L.M., Carmo, G.M. (2019) A close look at second stage data envelopment analysis using compound error models and the Tobit Model. Socio-Economic Planning Sciences, 65: 111-126
Spicka, J. (2014) The regional efficiency of mixed crop and livestock type of farming and its determinants. Agris On-line Papers in Economics and Informatics, 6(1): 99-109
Statistical Office of the Republic of Serbia Retrieved from http://www.stat.gov.rs/ (September 1, 2019)
Toma, E., Dobre, C., Dona, I., Cofas, E. (2015) DEA Applicability in Assessment of Agriculture Efficiency on Areas with Similar Geographically Patterns. Agriculture and Agricultural Science Procedia, 6: 704-711
Yan, L. (2019) Evaluation of operating efficiency of agricultural listed enterprises based on DEA-Tobit Two Stage Model. u: Advances in Intelligent Systems Research: Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019), Atlantis Press, 168: 47-53, https://www.atlantis-press.com/proceedings/masta-19/125913191
You, H., Zhang, X. (2016) Ecoefficiency of intensive agricultural production and its influencing factors in China: An application of DEA-Tobit analysis. Discrete Dynamics in Nature and Society, 5; 1-14
Yuya, B. (2014) Comparative Analysis of Technical Efficiency of Smallholder Irrigated and Rain-fed Farm Production. Journal of Agricultural Economics, Extensions and Rural Development, 2(5): 52-62
Zamanian, G.R., Shahabinejad, V., Yaghoubi, M. (2013) Application of DEA and SFA on the measurement of agricultural technical efficiency in MENA1 Countries. International Journal of Applied Operational Research, 3(2): 43-51