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MODELING AND ESTIMATION OF ECONOMIC EFFICIENCY OF FUNCTIONING OF AN AGROPHARMACEUTICAL CLUSTER OF REPUBLIC OF BELARUS  [2016]

Karachevskaiy E.V. Rogachev A.F.

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In the article theoretical principles of construction of production and processing clusters and the framework for the assessment and modeling their effectiveness. Developed assessment of economicefficiency of functioning, for example agropharmaceuticals cluster of the Republic of Belarus, including agricultural enterprises producing medicinal raw materials and processing enterprises. Market of medicinalplants, which is a drug plant sometimes used in dried form as medicinal products or to obtain medicines,is quite specific. The calculation of net profit and distribution of a synergistic effect based on the proposed economic-mathematical optimization model, allowing different group parameters manufacturers of medicinal raw materials and pharmaceutical products. A structural-logical model of functioning of new forms of relationship between the parties market of medicinal plants, which enables the total financial results take into account the contribution of each entity of a cluster in the results of joint activities, and calculate the additional income of each participant. In the calculation obtained the optimal volume of production of medicinal plants and its distribution along the direction processing and marketing. The creation of a pharmaceutical cluster tasks not only enhance the stability of individual enterprises as a whole, but also to reduce the dependence of Belarus Republic on imports and conquest of a strong position in the international market. D
eveloped the method ensures the possibility of calculating the parameters of economic-mathematicalmodel agropharmaceuticals cluster in the market of medicinal plants. The proposed method based on the use of simulation, reproducing the functioning of the object of observation, allows to obtain the forecast values of the evaluation of a synergistic effect in the integration transactions.

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Modern Economy Success

ISSN : 2500-3747