Is the endowment fund a panacea for the financial autonomy of classical universities in Ukraine?
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Author(s)Yuliia PetlenkoLink to ORCID Index: https://orcid.org/0000-0001-5984-5145
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Andriy StavytskyyLink to ORCID Index: https://orcid.org/0000-0002-5645-6758
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Ganna KharlamovaLink to ORCID Index: https://orcid.org/0000-0003-3614-712X
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DOIhttp://dx.doi.org/10.21511/ppm.19(3).2021.32
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Article InfoVolume 19 2021, Issue #3, pp. 396-407
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340 Downloads
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Creative Commons Attribution 4.0 International License
The COVID-19 has put higher education institutions in a new situation and identified bottlenecks in the financial structure of institutions and education systems in general. However, for Ukrainian universities, this situation can be seen as an opportunity to achieve financial autonomy. This study is devoted to the consideration of a possible tool for the financial autonomy of Ukrainian classical universities, most of which are state-funded. The paper considers the methodology of a possible tool for the accumulation of external financing – the endowment fund. The case analysis and analytical consideration of world practice are applied. As a result, a model for financing the university in its transition to the innovation and entrepreneurship model is proposed as the chain “endowment fund – development of start-ups”. This example can become the basis of the road map for other national HEIs, as well as the practice of wider use in the field of higher education. However, despite most of the national classical universities have declared a course to an innovative development, which further raised the necessity of external funding, top management and general economic situation require more attention. As this transition to a new model of the university is taking place along with the financial stabilization and under economic and social upheavals, the formation of a new culture of online communication is necessary. Thus, the proposed model is the practical guideline of possible decisions but mostly the start-point for further discussion and research.
Acknowledgment
This paper is done in the framework of the grant project “Financial stabilization of classical universities in the context of the global consequences of the COVID-19 pandemic” funded by the National Research Foundation of Ukraine “Science for Human Security and Society” (2020-2021).
- Keywords
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JEL Classification (Paper profile tab)G17, G23, I22, I23
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References43
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Tables1
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Figures1
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- Figure 1. Cash flow in the endowment fund of a classical university
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- Table 1. The income of the endowment fund by year
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Modern technologies of detection and prevention of corruption in emerging information society
Problems and Perspectives in Management Volume 16, 2018 Issue #1 pp. 58-67 Views: 1996 Downloads: 424 TO CITE АНОТАЦІЯWith the development of the information society, there has been rapidly growing number of international research on the role of various (information, innovation, intelligent) technologies as a catalyst to fight corruption. As you know, the problems posed by corruption are economic, social and political consequences. In recent years economists and various researchers have shown increasing interest in studying the phenomenon of corruption. Many researchers in the field of studying corruption phenomenon are of theoretical nature, which studied different behaviors without having developed effective methods and technologies to identify and prevent corruption in the various spheres of government. In this regard, there is a need to study the world experience of application of technologies in the prevention of corruption and anti-corruption platform in Ukraine. This will allow to adapt them to positive experience in the implementation of mechanisms to identify and prevent corruption in Ukraine. The authors believe that to obtain a more accurate picture of the corruption situations that provide characteristics and its quantitative description is possible only by means of modelling the corruption phenomenon. In this regard, the analysis of theoretical models of corruption was made: the modelling made by the mathematical notation of the models and conclusions on the effectiveness of their application in management. Using simulation, the authors came to the conclusion that the detection and prevention of corruption should be carried out with the use of technologies and the system approach: from the study of statistics and use of anti-corruption platforms, public registers and databases to logical and probabilistic (LP) risk models of corruption.
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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
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