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BUSINESS INFORM №8-2014

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18

Section: Economic and Mathematical Modeling
UDC 631.115:658.27
Hanhal L. S.
Analysis of Resource Provision of Agricultural Enterprises of Different Organizational and Legal Forms and Simulation of the main Factors on the Financial and Economic Performance of the Business Entities (p. 106 - 114)

The article analyzes the level of logistical, labor and land resources of agricultural enterprises of different organizational forms. It was determined which types of agricultural units use the available resources most efficiently. The existing problems of forming a rational structure of the major productive resources of domestic farmers were studied. Using regression analysis it was investigated that the closeness of relationship between the amount of raised production factors and outcome indicators of the company (profit, income, expenditures), which became the basis for the development of economic and mathematical models of these dependencies. Ranging of the investigated factors on the level of importance of their influence was conducted, the percentage change in the effective index as a result of changes in each element of the resource potential was determined. The proposed models are developed for the agricultural enterprises of different organizational forms, which make it possible to effectively optimize the structure of production resources for most types of agricultural companies.
Keywords: agricultural enterprise, organizational and legal form, resourcing, correlation and regression analysis, the model
Tabl.: 6. Formulae: 2. Bibl.: 8.

Hanhal Lyudmyla S. – Postgraduate Student, Department of Enterprise Economics, Bukovina State Finance and Economics University (1 Manfreda Shterna Str., Chernіvtsі, 58000, Ukraine)
Email: [email protected]

Article is written in Ukrainian
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Reference to this article:
Hanhal, Lyudmyla S. (2014) “Analysis of Resource Provision of Agricultural Enterprises of Different Organizational and Legal Forms and Simulation of the main Factors on the Financial and Economic Performance of the Business Entities.” Business Inform 8:106–114.


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