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Regional Ranking: Statistical Aspects of Assessing Readiness for Intelligent Automation
Chala T. G., Solodovnikov D. Y.

Chala, Tеtyana G., and Solodovnikov, Denys Yu. (2024) “Regional Ranking: Statistical Aspects of Assessing Readiness for Intelligent Automation.” Business Inform 2:118–127.
https://doi.org/10.32983/2222-4459-2024-2-118-127

Section: Economic statistics

Article is written in Ukrainian
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UDC 311.12:[332.146:005.591.6](477)

Abstract:
The article focuses on the issues of harmonization of the international methodology of the index of readiness of the countries of the world for automation with the specifics of the functioning of the innovative and educational regional environment in Ukraine. The relevance of the chosen topic is substantiated. The problems of breaking the connection between intellectual automation and strategies for the development of education, innovative environment and employment policy in the country are outlined. The need to develop a balanced regional policy based on solving the problem of ensuring constant monitoring of the situation in the field of readiness of regions, territorial communities or cities of Ukraine for future automation is emphasized. In the course of the study, the theoretical and methodological foundations of building the international index of «readiness for automation» of the countries of the world are considered. A similar methodology is used to build the index of «readiness for automation» of the regions of Ukraine. It is also structured as a composite index, and the overall scores for each region are obtained by weighting and combining the three sub-indices corresponding to the components: «Innovation Environment», «Education Policy» and «Labor Market Policy». When combining sub-indices into a general index, weighting coefficients were used to reflect the importance of the relevant component: innovation environment – 40%, educational policy – 40%, labor market policy – 20%. In turn, the estimates of sub-indices are calculated as the weighted average value of normalized estimates of individual indicators. The choice of indicators for the components of the proposed methodology is due to the availability of official data published by the State Statistics Service of Ukraine for 2020 and 2021. The highest level of the overall index of readiness for automation was recorded in the city of Kyiv (92.2), the lowest level (1.82) – in the Chernihiv region. The city of Kyiv stands out as a leader not only in terms of the general index, but also in all sub-indices of readiness for automation, determining its first place in the ranking in terms of the level of development of the innovation environment, education policy and labor market. Dnipropetrovsk region ranks second in the overall ranking of regions of Ukraine in terms of the general index of readiness for automation and all its components.

Keywords: automation, innovation environment, educational policy, labor market policy, normalization, regions of Ukraine, statistical analysis, index.

Tabl.: 4. Formulae: 5. Bibl.: 23.

Chala Tеtyana G. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]
Solodovnikov Denys Yu. – Master, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]

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