Forecasting Indicators of the Region Intellectual Potential
This study established that in the conditions of Russian aggression, one of the most important factors for the recovery of Ukraine's economy is the effective use and multiplication of the existing intellectual potential of the regions. It was determined that the main structural elements of the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Anhalt University of Applied Sciences
2024-03-01
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| Series: | Proceedings of the International Conference on Applied Innovations in IT |
| Subjects: | |
| Online Access: | https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_13 |
| _version_ | 1797201143913250816 |
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| author | Pavlo Hryhoruk Inna Chaikovska Oksana Proskurovych Kateryna Gorbatiuk Oleksandr Valkov Maksym Chaikovskyi |
| author_facet | Pavlo Hryhoruk Inna Chaikovska Oksana Proskurovych Kateryna Gorbatiuk Oleksandr Valkov Maksym Chaikovskyi |
| author_sort | Pavlo Hryhoruk |
| collection | DOAJ |
| description | This study established that in the conditions of Russian aggression, one of the most important factors for the recovery of Ukraine's economy is the effective use and multiplication of the existing intellectual potential of the regions. It was determined that the main structural elements of the intellectual potential of the region are educational, scientific and innovative potential. Fractal analysis and forecasting of key indicators of the intellectual potential of the region were carried out. Within the framework of the educational potential of the region, the following indicators were studied: the coverage of children in preschool education institutions, the number of graduate students, the number of students in general secondary education institutions, the number of teachers in general secondary education institutions, the number of students and trainees in vocational and vocational education institutions. As part of the scientific potential, the indicator of the number of employees involved in the performance of scientific research and development was considered. Within the framework of innovation potential - the specific weight of enterprises that introduced innovations and the number of implemented new technological processes. As a result of the conducted fractal analysis, it was established that all indicators belong to the anti-persistent type of time series. Therefore, the method of exponential smoothing and moving average was used as forecasting. A negative trend in the development of the component indicators of the intellectual potential of the region was revealed. This requires appropriate decisive actions on the part of the authorities in order to activate and grow the educational, scientific and innovative potential, which will lead to the improvement of the indicator of the intellectual potential of the region and its positive impact on the indicators of economic efficiency. |
| first_indexed | 2024-04-24T07:42:52Z |
| format | Article |
| id | doaj.art-d5b63b524ee24b53a4616ef9617c1058 |
| institution | Directory Open Access Journal |
| issn | 2199-8876 |
| language | English |
| last_indexed | 2024-04-24T07:42:52Z |
| publishDate | 2024-03-01 |
| publisher | Anhalt University of Applied Sciences |
| record_format | Article |
| series | Proceedings of the International Conference on Applied Innovations in IT |
| spelling | doaj.art-d5b63b524ee24b53a4616ef9617c10582024-04-19T11:46:33ZengAnhalt University of Applied SciencesProceedings of the International Conference on Applied Innovations in IT2199-88762024-03-01121159165http://dx.doi.org/10.25673/115691Forecasting Indicators of the Region Intellectual PotentialPavlo Hryhoruk0https://orcid.org/0000-0002-2732-5038Inna Chaikovska1https://orcid.org/0000-0001-7482-1010Oksana Proskurovych2https://orcid.org/0000-0002-2430-8910Kateryna Gorbatiuk3https://orcid.org/0000-0003-1477-4085Oleksandr Valkov4https://orcid.org/0000-0001-9486-4763Maksym Chaikovskyi5https://orcid.org/0000-0002-9596-6697Department of Economics, Analytics, Modeling and Information Technologies in Business, Khmelnytskyi National University, Instytuts’ka Str. 11, 29016 Khmelnytskyi, UkraineDepartment of Economics, Analytics, Modeling and Information Technologies in Business, Khmelnytskyi National University, Instytuts’ka Str. 11, 29016 Khmelnytskyi, UkraineDepartment of Economics, Analytics, Modeling and Information Technologies in Business, Khmelnytskyi National University, Instytuts’ka Str. 11, 29016 Khmelnytskyi, UkraineDepartment of Economics, Analytics, Modeling and Information Technologies in Business, Khmelnytskyi National University, Instytuts’ka Str. 11, 29016 Khmelnytskyi, UkraineDepartment of Economics, Analytics, Modeling and Information Technologies in Business, Khmelnytskyi National University, Instytuts’ka Str. 11, 29016 Khmelnytskyi, UkraineDepartment of Economics, Analytics, Modeling and Information Technologies in Business, Khmelnytskyi National University, Instytuts’ka Str. 11, 29016 Khmelnytskyi, UkraineThis study established that in the conditions of Russian aggression, one of the most important factors for the recovery of Ukraine's economy is the effective use and multiplication of the existing intellectual potential of the regions. It was determined that the main structural elements of the intellectual potential of the region are educational, scientific and innovative potential. Fractal analysis and forecasting of key indicators of the intellectual potential of the region were carried out. Within the framework of the educational potential of the region, the following indicators were studied: the coverage of children in preschool education institutions, the number of graduate students, the number of students in general secondary education institutions, the number of teachers in general secondary education institutions, the number of students and trainees in vocational and vocational education institutions. As part of the scientific potential, the indicator of the number of employees involved in the performance of scientific research and development was considered. Within the framework of innovation potential - the specific weight of enterprises that introduced innovations and the number of implemented new technological processes. As a result of the conducted fractal analysis, it was established that all indicators belong to the anti-persistent type of time series. Therefore, the method of exponential smoothing and moving average was used as forecasting. A negative trend in the development of the component indicators of the intellectual potential of the region was revealed. This requires appropriate decisive actions on the part of the authorities in order to activate and grow the educational, scientific and innovative potential, which will lead to the improvement of the indicator of the intellectual potential of the region and its positive impact on the indicators of economic efficiency.https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_13forecastingfractal analysisexponential smoothingmoving averageintellectual potential |
| spellingShingle | Pavlo Hryhoruk Inna Chaikovska Oksana Proskurovych Kateryna Gorbatiuk Oleksandr Valkov Maksym Chaikovskyi Forecasting Indicators of the Region Intellectual Potential Proceedings of the International Conference on Applied Innovations in IT forecasting fractal analysis exponential smoothing moving average intellectual potential |
| title | Forecasting Indicators of the Region Intellectual Potential |
| title_full | Forecasting Indicators of the Region Intellectual Potential |
| title_fullStr | Forecasting Indicators of the Region Intellectual Potential |
| title_full_unstemmed | Forecasting Indicators of the Region Intellectual Potential |
| title_short | Forecasting Indicators of the Region Intellectual Potential |
| title_sort | forecasting indicators of the region intellectual potential |
| topic | forecasting fractal analysis exponential smoothing moving average intellectual potential |
| url | https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_13 |
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