EFFICIENCY ANALYSIS OF AGRICULTURE IN SERBIA BASED ON THE CODAS METHOD
EFFICIENCY ANALYSIS OF AGRICULTURE IN SERBIA BASED ON THE CODAS METHOD
Author(s): Dragana Vojteski Kljenak, Radojko LukićSubject(s): Economy, Agriculture
Published by: Visoka škola za poslovnu ekonomiju i preduzetništvo
Summary/Abstract: The issue of analyzing the efficiency of agriculture on the basis of multi-criteria decision-making methods is very current, complex and significant. Based on that, this paper investigates the efficiency factors of agriculture enterprises in Serbia using the CODAS method. The AHP method is used to calculate the weight coefficients of the criteria. The AHP method is used to calculate the weight coefficients of the criteria. The goal and purpose of that is to process the given problems through the complex theoretical ,methodological and empirical prisms in the function of improving the efficiency of agriculture in Serbia in the future by taking appropriate measures. The theoretical and practical significance of the research of the treated problem in this paper is reflected in the fact that the application of the CODAS method provides a more realistic situation in relation to the ratio analysis in order to improve the efficiency of agriculture in Serbia in the future by taking adequate measures. There are no similar studies in the literature for other countries, which makes international comparison difficult. Research using this method and including the period from 2013 to 2020 has showed that agriculture in Serbia were the most efficient in 2018. Then we have: 2020, 2019, 2017, 2016, 2015, 2014 and 2013. Recently, under the positive influence of numerous macro and micro factors, the efficiency of agriculture in Serbia has significantly improved. The effects of Covid-19 on the performance of agriculture in Serbia have, among other things, been mitigated to some extent with increased electronic sales of agriculture products.
Journal: International Review
- Issue Year: 2022
- Issue No: 1-2
- Page Range: 32-41
- Page Count: 10
- Language: English