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Assessing of the Competitiveness Level in the Industry using the Correlation Analysis on the Example of Agriculture of the Republic of Tatarstan, Russian Federation

机译:基于俄罗斯Analysis斯坦共和国农业实例的相关性分析,评估行业竞争力水平

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This study presents the results of evaluation of the competitiveness of farmers and the agricultural sector in the region as a whole. Traditional approach of estimating monopolization level uses Herfindahl-Hirshman and Lerner indexes. But this methodsnot applicable in case of inhomogeneity of product in industry or when firms manufacture different type of products. The evaluation was performed by using the instruments of fuzzy set theory and the correlation analysis. This technique allows us to estimate the degree of monopolization of the industry and its sub-sectors, as well as to hold a comparative analysis and to identify trends of development. Technique consists several steps. Determine the maximum amount of product produced by any company in the sector in the period and the percentage of the volume of production from which the company can be named as leader. Fuzzy numbers of leadership are calculated for each firm's product. If the company produces more than one product, the fuzzy numbers foreach product are aggregated into one by using the fuzzy operation "or". Depending on the percentage level in the industry will change and the number of companies that are recognized as leaders. Simulations proved that correlation between percentage level and number of leaders in industry depends on market structure: Monopoly, oligopoly or pure competition. Correlation coefficient tends from -1 for the monopolized industries to 0 for pure competition. We provided computer simulation to calculate the boundaries of correlation coefficient to identify types of market structure. The analysis was held according to the industrial and economic activity of all 509 agricultural enterprises and 13 types of products in Republic Tatarstan of Russian Federation during 2011-2013. The obtained results are comparable with the results of the calculation the Herfindahl-Hirschman index for each product. However, the proposed technique allows us to make a general assessment of industry's competitiveness. The technique has an applied significance in the development of government support measures.
机译:这项研究提出了对整个地区农民和农业部门竞争力的评价结果​​。估计垄断水平的传统方法使用Herfindahl-Hirshman和Lerner指数。但是这种方法不适用于行业中产品的不均匀性或公司生产不同类型的产品时。使用模糊集理论和相关分析工具进行评估。这种技术使我们能够估计行业及其子行业的垄断程度,并进行比较分析并确定发展趋势。技术包括几个步骤。确定该时期内该公司中任何公司生产的最大产品量,以及该公司可以被称为领导者的生产量的百分比。为每个公司的产品计算模糊的领导人数。如果公司生产多个产品,则使用模糊运算“或”将每个产品的模糊数汇总为一个。取决于行业百分比水平的变化以及被认为是领导者的公司数量。模拟证明,百分比水平与行业领导者人数之间的相关性取决于市场结构:垄断,寡头垄断或纯竞争。相关系数从垄断行业的-1到纯竞争的0。我们提供了计算机模拟来计算相关系数的边界,以识别市场结构的类型。根据2011-2013年俄罗斯联邦共和国tar斯坦共和国内所有509家农业企业和13种产品的工业和经济活动进行了分析。所得结果与每种产品的Herfindahl-Hirschman指数的计算结果相当。但是,所提出的技术使我们可以对行业竞争力进行总体评估。该技术在政府支持措施的发展中具有应用意义。

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