Efficiency analysis of agriculture in Serbia based on the CODAS method

IF 0.4 Q4 ECONOMICS International Review Pub Date : 2022-01-01 DOI:10.5937/intrev2202039v
Dragana Vojteški-Kljenak, R. Lukić
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引用次数: 1

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.
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基于CODAS方法的塞尔维亚农业效率分析
基于多准则决策方法的农业效益分析是一个非常现实、复杂和重要的问题。在此基础上,本文运用CODAS方法对塞尔维亚农业企业的效率因素进行了研究。采用层次分析法计算各指标的权重系数。采用层次分析法计算各指标的权重系数。其目标和目的是通过复杂的理论、方法和经验棱镜来处理给定的问题,以便通过采取适当措施来提高塞尔维亚未来的农业效率。本文所处理问题的研究的理论意义和现实意义体现在CODAS方法的应用为比值分析提供了一个更为现实的情况,以便通过采取适当的措施来提高塞尔维亚未来的农业效率。其他国家的文献中没有类似的研究,这给国际比较带来了困难。使用这种方法进行的研究(包括2013年至2020年期间)表明,塞尔维亚的农业在2018年效率最高。接下来是:2020年、2019年、2017年、2016年、2015年、2014年和2013年。近年来,在众多宏观和微观因素的积极影响下,塞尔维亚农业生产效率显著提高。除其他外,随着农产品电子销售的增加,Covid-19对塞尔维亚农业业绩的影响在一定程度上得到了缓解。
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4 weeks
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