Forecasting Indicators of the Region Intellectual Potential

Hryhoruk, Pavlo; Chaikovska, Inna; Proskurovych, Oksana; Gorbatiuk, Kateryna; , Oleksandr

doi:10.25673/115691

Proceedings of International Conference on Applied Innovation in IT · 2024/03/07 · Vol. 12 · Issue 1 · pp. 159–165

Forecasting Indicators of the Region Intellectual Potential

Pavlo Hryhoruk, Inna Chaikovska, Oksana Proskurovych, Kateryna Gorbatiuk, Oleksandr Valkov and Maksym Chaikovskyi

📄 Download PDF DOI: 10.25673/115691

Abstract

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.

Keywords

Forecasting Fractal Analysis Exponential Smoothing Moving Average Intellectual Potential

References

Y.F. Dai, P.Y. Chu, S.T. Lu, W.T. Chen, and Y.C. Tien, “Evaluation of Regional Innovation Capability: an Empirical Study on Major Metropolitan Areas in Taiwan,” Technological and Economic Development of Economy, vol. 28(5), pp. 313-1349, 2022.
K. Boiarynova, O. Popelo, S. Tulchynska, S. Gritsenko, and I. Prikhno, “Conceptual Foundations of Evaluation and Forecasting of Innovative Development of Regions,” Periodica Polytechnica Social and Management Sciences, vol. 30(2), pp. 167-174, 2022.
O. Popelo, S. Tulchynska, N. Lagodiienko, M.A. Radin, and A. Moskalenko, “Methodical Approach to Forecasting the Intensification of Innovative Development of Regions Using the Mathcad Program International Journal of Circuits,” Systems and Signal Processing, vol. 15, pp. 1591-1601, 2021.
P. Hajek, R. Henriques, M. Castelli, and L. Vanneschi, “Forecasting Performance of Regional Innovation Systems using Semantic-based Genetic Programming with Local Search Optimizer,” Computers & Operations Research, vol. 106, pp. 179-190, 2019.
V. Shcherbak and P. Puzyrova, “The Forecasting the Level of Development of Innovative Potential of Textile Enterprises,” Management, vol. 2 (32), pp. 65-83, 2020.
P. Zakharchenko, Y. Glazova, S. Zhvanenko, S. Kucher, and V. Mukhin, “Models for forecasting innovative development of the economy of resort-recreational sphere,” CEUR Workshop Proceedings, vol. 2927, 2021.
I. Chaikovska, “Evaluation of enterprise knowledge management system,” Actual problems of the economy, vol. 10 (172), pp. 221-229, 2015.
L. Lisovska, O. Mrykhina, A. Terebukh, and N. Kozmuk, “Modeling of financial results of subjects of the innovation process in the region”, Financial and credit activity: problems of theory and practice, vol. 3(44), pp. 122-131, 2022.
H.E. Hurst, “The Long-Term Storage Capacity of Reservoirs,” Transactions of the American Society of Civil Engineers, vol. 116, pp. 770-799, 1951.
H.E. Hurst, “Methods of using long-term storage in reservoirs,” Proceedings of the Institution of Civil Engineers, p. 1, pp. 519-577, 1955.