Simulative model for evaluation of investment processes in the regions of Ukraine
-
DOIhttp://dx.doi.org/10.21511/imfi.14(3-2).2017.03
-
Article InfoVolume 14 2017, Issue #3, pp. 322-329
- Cited by
- 895 Views
-
166 Downloads
This work is licensed under a
Creative Commons Attribution-NonCommercial 4.0 International License
To analyze and evaluate the investment processes in the regions of Ukraine, it is suggested to use a simulative model that, unlike existing ones, allows to take into account the influence of macroeconomic factors and to predict the future development of the economic system of the regions taking into account their investment potential. The examination of the assessed simulative models of the investment processes in the regions of Ukraine for adequacy is carried out using the determination coefficient and Fisher’s criterion, by which the influence of the most significant economic variables of social and economic development of the regions on the investments formation is determined. Research of the investments impact on the dynamics of economic systems indicators of the regions has shown that 86% of the constructed models are adequate. The presence of statistically significant estimates of model parameters confirms the effectiveness of the proposed approach for conducting research on the analysis and forecasting of the patterns of significant indicators formation of investment activity at the regional level, as well as their impact on indicators of social and economic development.
- Keywords
-
JEL Classification (Paper profile tab)R10, R15, R58, E17
-
References12
-
Tables0
-
Figures0
-
- Ābeltiņa, A., Zvirgzdiņa, R., & Ozols, J. (2016). Endogenous factors in Latvian regional development. Problems and Perspectives in Management, 14(3), 21-30.
- Azatbek, T., & Ramazanov, A. (2016). Assessment of foreign direct investment, export and economic growth on the example of Kazakhstan. Investment Management and Financial Innovations, 13(4), 129-135.
- Dadashova, P. A. (2014). Моделювання взаємозалежності між показниками монетарної та фіскальної політики [Mod-eliuvannia vzaemozalezhnosti mizh pokaznykamy monetarnoi ta fiskalnoi polityky]. Ekonomichnyy analiz, 18(1), 147-155.
- Hudz, P. V. (2013). Аналіз підходів до економіко- математичного моделювання інвестиційного потенціалу Запорізького регіону [Analiz pidkhodiv do ekonomiko-matematychnoho modeliuvannia investytsiinoho potentsialu Zaporizkoho rehionu]. Derzhava ta rehiony. Ser.: Ekonomika ta pidpryiemnytstvo, 4, 44-50.
- Irshak, O. (2013). Структурне моделювання розвитку банківської сфери в Україні [Strukturne modeliuvannia rozvytku bankivskoi sfery v Ukraini]. Ekonomichnyy analiz, 12(2), 36-40.
- Ishchuk, S. O. (2011). Інвестиційна привабливість Західного регіону України [Investytsiina pryvablyvist Zakhidnoho rehionu Ukrainy] (212 р.). Lviv: In-t rehionalnykh doslidzhen NAN Ukrainy.
- Kinias, I., Tsakalos, I., & Konstantopoulos, N. (2017). Investment evaluation in renewable projects under uncertainty, using real options analysis: the case of wind power industry. Investment Management and Financial Innovations, 14(1), 96-103.
- Kononskyi, S. I. (2014). Методи моделювання регіональної інвестиційної політики [Metody modeliuvannia rehionalnoi investytsiinoi polityky]. Ekonomichnyy analiz, 16(2), 19-24.
- Salo, L. (2015). Моделювання впливу податкової політики на соціально-економічний розвиток країни [Modeliuvannia vplyvu podatkovoi polityky na sotsialno-ekonomichnyi rozvytok krainy]. Svit finansiv, 3, 18-30.
- Stepanenko, S. V. (2013). Фактори інвестування та інвестиційний клімат регіонів у контексті загальноекономічного розвитку України [Faktory investuvannia ta investytsiinyi klimat rehioniv v konteksti zahalnoekonomichnoho rozvytku Ukrainy]. Teoriya ta praktyka derzhavnoho upravlinnya, 4, 69-77.
- State Statistics Service of Ukraine.
- Zdrok, V. V. (2013). Дослідження впливу економічної політики на агреговану поведінку домого¬сподарств у країнах-партнерах [Doslidzhennia vplyvu ekonomichnoi polityky na ahrehovanu polityku domohospodartsv u krainakh-partnerakh]. Ekonomichnyy visnyk Natsionalnoho tekhnichnoho universytetu Ukrayiny “Kyyivskyy politekhnichnyy instytut”, 10, 87-93.
-
The role of foreign direct investment and trade on carbon emissions in Turkey
Gizem Kaya , M. Özgür Kayalica
,
Merve Kumaş ,
Burc Ulengin
doi: http://dx.doi.org/10.21511/ee.08(1).2017.01
Environmental Economics Volume 8, 2017 Issue #1 pp. 8-17 Views: 2020 Downloads: 999 TO CITE АНОТАЦІЯThis study aims to observe the long run and short run effects of gross domestic product, foreign direct investment inflows and trade on CO2 emissions and causality relationships between these factors, using annual data for the period of 1974-2010. The empirical results demonstrate that the inverted U-shaped relationship of environmental Kuznets curve is valid for Turkey. In addition, there are positive long run effects of foreign direct investment and trade openness on CO2 emissions. The authors also find a bidirectional causality relationship between CO2 emission and FDI.
-
Data science methods for comprehensive assessment of regional economic development
Liubov Chagovets ,
Svitlana Prokopovych ,
Viktor Kholod
doi: http://dx.doi.org/10.21511/dm.18(2).2020.05
The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country. -
Optimal control of continuous life insurance model
Viktor Oliynyk ,
Fedir Zhuravka ,
Tetiana Bolgar ,
Olha Yevtushenko
doi: http://dx.doi.org/10.21511/imfi.14(4).2017.03
Investment Management and Financial Innovations Volume 14, 2017 Issue #4 pp. 21-29 Views: 1960 Downloads: 217 TO CITE АНОТАЦІЯThe problems of mixed life insurance and insurance in the case of death are considered in the article. The actuarial present value of life insurance is found by solving a system of differential equations. The cases of both constant effective interest rates and variables, depending on the time interval, are examined. The authors used the Pontryagin maximum principle method as the most efficient one, in order to solve the problem of optimal control of the mixed life insurance value. The variable effective interest rate is considered as the control parameter. Some numerical results were given.
