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  • 标题:Applied potential of econometric instrumentation of substantiation of economic decisions within fisheries sector
  • 本地全文:下载
  • 作者:Natalya Yarkina ; Natalya Logunova
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:91
  • 页码:1-9
  • DOI:10.1051/e3sconf/20199108054
  • 出版社:EDP Sciences
  • 摘要:The article discusses the econometrics potential to substantiate economic decisions aimed at improving the competitiveness of fishery enterprises. The authors specified the definition of the economic category “competitiveness of fishery enterprises” and emphasized the importance of this concept as an indicator of the effectiveness of economic decisions. The paper contains the analysis of indicator methods for assessing the competitiveness of enterprises. The modified graphical indicator method named “competitiveness polygon” is recommended for assessing the competitiveness of fishery enterprises. The method for calculating the area of a competitiveness polygon was improved by replacing the expert method of determining the values of significance coefficients for relevant competitiveness factors with the econometric method by composing a multiple regression equation.
  • 其他摘要:The article discusses the econometrics potential to substantiate economic decisions aimed at improving the competitiveness of fishery enterprises. The authors specified the definition of the economic category “competitiveness of fishery enterprises” and emphasized the importance of this concept as an indicator of the effectiveness of economic decisions. The paper contains the analysis of indicator methods for assessing the competitiveness of enterprises. The modified graphical indicator method named “competitiveness polygon” is recommended for assessing the competitiveness of fishery enterprises. The method for calculating the area of a competitiveness polygon was improved by replacing the expert method of determining the values of significance coefficients for relevant competitiveness factors with the econometric method by composing a multiple regression equation.
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