ANALYSIS OF THE ORGANIC AGRICULTURE LEVEL OF DEVELOPMENT IN THE EUROPEAN UNION COUNTRIES

  • Bojan Krstić, PhD University of Nis, Faculty of Economics, Niš
  • Jelena Petrović, PhD University of Nis, Faculty of Mathematics and Science, Niš
  • Tanja Stanišić, PhD University of Kragujevac, Faculty of Hotel Management and Tourism in Vrnjačka Banja
  • Ernad Kahranović, PhD State University of Novi Pazar, Department of Economic Sciences, Novi Pazar

Abstract

The purpose of this paper is to analyse the development of organic agriculture in the member states of the European Union. The aim is ranking the member states of the European Union according to the degree of development of organic agriculture using the proper methodology, or using multi-criteria analysis, in order to determine which member state has made the most signifcant development of the observed agricultural production. This is realized by using the VIKOR and ENTROPY methods. The research results suggest that there is a difference in the level of development of organic agriculture in the member states of the European Union.Results of regression and correlation analysis indicate signifcant positive correlation between the levels of development of organic agricultural production and economic growth in the European Union countries. Economic growth is one of the conditions of improving the development of organic agriculture.

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References

1. Alemi-Ardakani, M., Milani, A. S., Yannacopoulos, S., Shokouhi, G. (2016): On the effect of subjective, objective and combinative weighting in multiple criteria decision making: A case study on impact optimization of composites, Expert Systems with Applications, Vol. 46, No. 15, pp. 426-438, Elsevier, London, United Kingdom.
2. Bruma, I. S. (2014): The Evolution Of Organic Agricultural Land Areas In The Emerging Countries Of The European Union, Agricultural Economics and Rural Development, Vol. 11, No. 2, pp. 167-179, Premier Publisher, Birmingham, United Kingdom.
3. FIBL, IFOAM (2016): The world of organic agriculture: statistics & emerging trends 2016, Switzerland (available at: https://shop.fbl.org/fleadmin/documents/shop/1698-organic-world-2016.pdf)
4. Forman, J., Silverstein, J. (2012): Organic foods: health and environmental advantages and disadvantages, Pediatrics, Vol. 130, No. 5, pp. 1406-1415, American Academy of Pediatrics, Chicago, USA.
5. Gosling, P., Hodge, A., Goodlass, G., Bending, G. D. (2006): Arbuscularmycorrhizal fungi and organic farming. Agriculture, Ecosystems & Environment, Vol. 113, No. 1, pp. 17-35, Elsevier, London, United Kingdom.
6. Hazama, K., Kano, M. (2015): Covariance-based locally weighted partial least squares for high-performance adaptive modeling, Chemometrics and Intelligent Laboratory Systems, No. 146, pp. 55–62, Elsevier BV, Amsterdam, Netherlands.
7. IFOAM (available at: http://www.ifoam-eu.org/en/austria)
8. IFOAM (2008): Defnition of Organic Agriculture, Switzerland (available at: http://www.ifoam.bio/en/organic-landmarks/defnition-organic-agriculture)
9. Jaklic, T., Juvancic, L., Kavcic, S., Debeljak, M. (2014): Complementarity of socio-economic and emergy evaluation of agricultural production systems: The case of Slovenian dairy sector, Ecological Economics, No. 107, pp. 469- 481, Elsevier BV, Amsterdam, Netherlands.
10. Kaminski, M., Ossowski, N. (2014): Stokes problems with random coeffcients by the Weighted Least Squares Technique Stochastic Finite Volume Method, Archive of civil and mechanical engineering, Vol. 14, No. 4, pp. 745-756, Elsevier BV, Amsterdam, Netherlands.
11. Karetsos, S., Costopoulou, C., Sideridis, A., Patrikakis, C., Koukouli, M. (2007): Bio@gro–an online multilingual organic agriculture e-services platform, Information Services & Use, Vol. 27, No. 3, pp. 123-132, IOS Press, Amsterdam, Netherlands.
12. Lampkin, N. (2002): Organic Farming, Old Pond Publishing, Ipswich, England.
13. Lampkin, N. (1994): Organic farming: sustainable agriculture in practice, in Lampkin, N., Padel, S. (Eds.), The Economics of Organic Farming, An International Perspective, CABI, Oxford, United Kingdom.
14. Nikolić, M., Radovanović, L., Desnica, E., Pekez, J. (2010): Primena metode VIKOR za izbor strategije održavanja, Tehnička dijagnostika, Vol. 9, No. 4, pp. 25-32, Tehnička dijagnostika, Beograd, Srbija.
15. Nowak, B., Nesme, T., David, C., Pellerin, S. (2015): Nutrient recycling in organic farming is related to diversity in farm types at the local level, Agriculture, Ecosystems & Environment, No. 204, pp. 17-26, Elsevier, London, United Kingdom..
16. Opricovic, S., Tzeng, G. (2007): Extended VIKOR method in comparison with outranking methods, European Journal of Operational Research, Vol. 178, No. 2, pp. 514-529, Elsevier BV, Amsterdam, Netherlands.
17. Opricovic, S., Tzeng, G. (2004): Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research, Vol. 156, No. 2, pp. 445-455, Elviser VB, Amsterdam, Netherlands.
18. Padel, S. (2001): Conversion to organic farming: a typical example of the diffusion of an innovation?, Sociologia Ruralis, Vol. 41, No. 1, pp. 40-61, Blackwell Publishing Ltd., Oxford, United Kingdom.
19. Rozman, Č., Pažek, K., Kljajić, M., Bavec, M., Turk, J., Bavec, F., Kofjan, D., Škraba, A. (2013): The dynamic simulation of organic farming development scenarios – A case study in Slovenia, Computers and electronics in agriculture, No. 96, pp. 163-172, Elviser VB, Amsterdam, Netherlands.
20. Rusch, A., Delbac, L., Muneret, L., Thiery, D. (2015): Organic farming and host density affect parasitism rates of tortricid moths in vineyards, Agriculture, Ecosystems & Environment, No. 214, pp. 46-53, Elsevier, London, United Kingdom.
21. Sanders, J.,Stolze, M., Padel, S. (2011): Use and effciency of public support measures addressing organic farming, Thunen-Institute of Farm Economics, Braunschweig, Germany.
22. Solsvik, S., Jakobsen, H. A. (2012): Effects of Jacobi polynomials on the numerical solution of the pellet equationusing the orthogonal collocation. Galerkin, tau and least squares methods, Computers and Chemical Engineering, Vol. 39, No. 6, pp. 1– 21, Pergamon, Oxford, United Kingdom.
23. Te Pas, C. M., Rees, R. M. (2014): Analysis of differences in productivity, profitability and soil fertility between organic and conventional cropping systems in the tropics and sub-tropics, Journal of Integrative Agriculture, Vol. 13, No. 10, pp. 2299-2310, Elviser VB, Amsterdam, Netherlands.
24. Toader, M., Roman, GH.V. (2014): Manual de agricultură general, Editura Terra Nostra, Iaşi.
25. Wang, Y. L., Tzeng, G. H. (2012): Brand marketing for creating brand value based on a MCDM model combining DEMATEL with ANP and VIKOR methods, Expert Systems with Applications, Vol. 39, No. 5, pp. 5600-5615, Pergamon, Oxford, United Kingdom.
26. Yu, W., Li, B., Yang, X., Wang, Q. (2015): A development of a rating method and weighting system for green store buildings in China, Renewable Energy, No. 73, pp. 123-129, Pergamon, Oxford, United Kingdom.
27. Zhang, H. (2015): Application on the Entropy method for determination of weight of evaluating index in fuzzy mathematics for wine quality assessment, Advance Journal of Food Science and Technology, Vol. 7, No. 3, pp. 195-198, Institute of Food Science & Technology, London, United Kingdom.
Published
2017-09-30
How to Cite
KRSTIĆ, Bojan et al. ANALYSIS OF THE ORGANIC AGRICULTURE LEVEL OF DEVELOPMENT IN THE EUROPEAN UNION COUNTRIES. Economics of Agriculture, [S.l.], v. 64, n. 3, p. 957-971, sep. 2017. ISSN 2334-8453. Available at: <http://ea.bg.ac.rs/index.php/EA/article/view/67>. Date accessed: 20 nov. 2019. doi: https://doi.org/10.5937/ekoPolj1703957K.
Section
Original scientific papers