Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic
Agricultural sector is a strategic sector for Ukraine; therefore, the task of developing effective incentive mechanisms for the development of agricultural production and increase of efficiency of activities of agricultural product manufacturers – economic entities of the agrarian market – is ur...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Montenegro - Faculty of Economics Podgorica
2018-08-01
|
Series: | Montenegrin Journal of Economics |
Subjects: | |
Online Access: | http://repec.mnje.com/mje/2018/v14-n03/mje_2018_v14-n03-a13.pdf |
id |
doaj-6ad7baa9ea38430194726898f35a5d96 |
---|---|
record_format |
Article |
spelling |
doaj-6ad7baa9ea38430194726898f35a5d962020-11-24T22:07:42ZengUniversity of Montenegro - Faculty of Economics PodgoricaMontenegrin Journal of Economics1800-58451800-66982018-08-01143375310.14254/1800-5845/2018.14-3.3Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic Serhii KozlovskyiHennadii MazurNataliia VdovenkoTetiana ShepeLVolodymyr Kozlovskyi Agricultural sector is a strategic sector for Ukraine; therefore, the task of developing effective incentive mechanisms for the development of agricultural production and increase of efficiency of activities of agricultural product manufacturers – economic entities of the agrarian market – is urgent. The conditions in which the agricultural sector of Ukraine is functioning, and research priorities of modern agricultural science provide an opportunity to deepen research in this direction and focus on justification of scientific and practical recommendations on creation of consolidated, adapted to domestic realities tools of stimulation of development of agricultural production in the country as a whole and its individual territories. The aim of this work is to develop economic and mathematical models of forecasting the level of economic and administrative stimulation of agricultural production in Ukraine based on the theory of fuzzy logic. The object of the study is the system of economic relations for stimulation of agricultural production in Ukraine. The subject of the study is principles of formation and development of economic and mathematical models of stimulation of agricultural production in Ukraine. The agricultural sector of Ukraine's economy with all the elements and components that provide the formation of the country's food security at the national level largely depends on the functionality of the mechanism of stimulation of development of agricultural production, which is one of the important and unsolved issues for Ukraine that requires a prompt solution. The study identifies the factors influencing the level of state stimulation of agricultural production in Ukraine. Factors influencing the level of agricultural production in Ukraine are classified. Economic and mathematical model of estimation and forecasting the level of economic and administrative stimulation of agricultural production in Ukraine is developed. The level of economic and administrative stimulation of agricultural production is forecast till 2020, which will allow forming the strategy of development of Ukraine's agricultural sector.http://repec.mnje.com/mje/2018/v14-n03/mje_2018_v14-n03-a13.pdfmanagementmodelingforecastingagricultural sectorUkraine. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Serhii Kozlovskyi Hennadii Mazur Nataliia Vdovenko Tetiana ShepeL Volodymyr Kozlovskyi |
spellingShingle |
Serhii Kozlovskyi Hennadii Mazur Nataliia Vdovenko Tetiana ShepeL Volodymyr Kozlovskyi Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic Montenegrin Journal of Economics management modeling forecasting agricultural sector Ukraine. |
author_facet |
Serhii Kozlovskyi Hennadii Mazur Nataliia Vdovenko Tetiana ShepeL Volodymyr Kozlovskyi |
author_sort |
Serhii Kozlovskyi |
title |
Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic |
title_short |
Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic |
title_full |
Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic |
title_fullStr |
Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic |
title_full_unstemmed |
Modeling and Forecasting the Level of State Stimulation of Agricultural Production in Ukraine Based on the Theory of Fuzzy Logic |
title_sort |
modeling and forecasting the level of state stimulation of agricultural production in ukraine based on the theory of fuzzy logic |
publisher |
University of Montenegro - Faculty of Economics Podgorica |
series |
Montenegrin Journal of Economics |
issn |
1800-5845 1800-6698 |
publishDate |
2018-08-01 |
description |
Agricultural sector is a strategic sector for Ukraine; therefore, the
task of developing effective incentive mechanisms for the development
of agricultural production and increase of efficiency of activities
of agricultural product manufacturers – economic entities of the
agrarian market – is urgent. The conditions in which the agricultural
sector of Ukraine is functioning, and research priorities of modern
agricultural science provide an opportunity to deepen research in
this direction and focus on justification of scientific and practical
recommendations on creation of consolidated, adapted to domestic
realities tools of stimulation of development of agricultural production
in the country as a whole and its individual territories. The aim
of this work is to develop economic and mathematical models of
forecasting the level of economic and administrative stimulation of
agricultural production in Ukraine based on the theory of fuzzy logic.
The object of the study is the system of economic relations for stimulation
of agricultural production in Ukraine. The subject of the study
is principles of formation and development of economic and mathematical
models of stimulation of agricultural production in Ukraine.
The agricultural sector of Ukraine's economy with all the elements
and components that provide the formation of the country's food
security at the national level largely depends on the functionality of
the mechanism of stimulation of development of agricultural production,
which is one of the important and unsolved issues for
Ukraine that requires a prompt solution. The study identifies the
factors influencing the level of state stimulation of agricultural production
in Ukraine. Factors influencing the level of agricultural production
in Ukraine are classified. Economic and mathematical model
of estimation and forecasting the level of economic and administrative
stimulation of agricultural production in Ukraine is developed.
The level of economic and administrative stimulation of agricultural
production is forecast till 2020, which will allow forming the strategy
of development of Ukraine's agricultural sector. |
topic |
management modeling forecasting agricultural sector Ukraine. |
url |
http://repec.mnje.com/mje/2018/v14-n03/mje_2018_v14-n03-a13.pdf |
work_keys_str_mv |
AT serhiikozlovskyi modelingandforecastingthelevelofstatestimulationofagriculturalproductioninukrainebasedonthetheoryoffuzzylogic AT hennadiimazur modelingandforecastingthelevelofstatestimulationofagriculturalproductioninukrainebasedonthetheoryoffuzzylogic AT nataliiavdovenko modelingandforecastingthelevelofstatestimulationofagriculturalproductioninukrainebasedonthetheoryoffuzzylogic AT tetianashepel modelingandforecastingthelevelofstatestimulationofagriculturalproductioninukrainebasedonthetheoryoffuzzylogic AT volodymyrkozlovskyi modelingandforecastingthelevelofstatestimulationofagriculturalproductioninukrainebasedonthetheoryoffuzzylogic |
_version_ |
1725819080414330880 |