Optimization Models of Agricultural Enterprises Activities under Stochastic Uncertainty Considering Institutional Factors.

The uncertainty of the environment of agricultural enterprises functioning due to institutional factors was determined. The optimization model of activity of agricultural enterprises under stochastic uncertainty based on the institutional factors is proposed as well.

Detalles Bibliográficos
Publicado en:Annals of Philosophy, Social & Human Disciplines Vol. 1; pp. 57 - 68
Autor principal: KYFYAK, Victoria
Formato: Artículo
Publicado: Suceava: "Stefan cel Mare" University 2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Optimization Models of Agricultural Enterprises Activities under Stochastic Uncertainty Considering Institutional Factors.
      aug:
        au: KYFYAK, Victoria
        affil: Lecturer, Economics Department, Chernivtsi Yuriy Fed'kovich National University, Ukraine
      su:
        Agricultural industries
        Stochastic analysis
        Mathematical optimization
        Mathematical analysis
        Agriculture
      sug:
        subj:
          Agricultural industries
          Stochastic analysis
          Mathematical optimization
          Mathematical analysis
          Agriculture
      keyword:
        institutional factors
        institutional uncertainty
        optimization model
        stochastic uncertainty
        structure of agricultural production
      ab: The uncertainty of the environment of agricultural enterprises functioning due to institutional factors was determined. The optimization model of activity of agricultural enterprises under stochastic uncertainty based on the institutional factors is proposed as well.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of Annals of Philosophy, Social & Human Disciplines is the property of Suceava: "Stefan cel Mare" University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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