USE OF E-SOLUTIONS FOR PLANNING THE DEVELOPMENT OF AHs UNDER CONDITIONS OF DECENTRALIZATION OF AUTHORITY IN UKRAINE

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Authors: G. Kharlamova, PhD in Economics, Associate Professor,  ORCID ІD 0000-0003-3614-712X, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine,
S. Loboyko, Director, CID, Kyiv, Ukraine

Abstract: The issue of decentralization in Ukraine is gaining momentum, and despite the first positive results, AHs are facing a lack of information for sound management decisions. E-solutions and the transition to successful data-driven management are essential tools for AHs. The developed structure of the diversification of interests of the actors of the process is capable to provide the basis for highly effective e-decisions (dashboards), which able the communities to carry out successful strategies and target their operational activities. A powerful modeling tool, including ANOVA and regression analysis, has confirmed that all AHs currently have a diversified path of development and have not yet demonstrated the synergy of response to government steps and policies to support them. A major problem for communities, on the one hand, is the lack of data to track their socio-economic development and, on the other hand, the opening of registers and access to data through the ESD, raise issues for communities about the methodology and tools for their prompt processing and interpretation. The econometric model-based scenario solutions have the potential to become a powerful management tool in the hands of the ATs chairman. The model approach proposed in the article can become a measure of the success and failure of local policy and become a tool for choosing the direction of the AHs’ development.

Keywords: model, AHs, forecast, Ukraine.

Received: 13/11/19

1st Revision: 23/11/19

Accepted: 01/12/19

DOI:    https://doi.org/10.17721/1728-2667.2019/207-6/4

References

Decentralizaciya daye mozhlyvosti. URL: https://decentralization.gov.ua/about.

Trom, L., Cronje, J., 2019. Analysis of data governance implications on big data. In: Future of Information and Communication Conference. Springer, Cham. p. 645-654. https://doi.org/10.1007/978-3-030-12388-8_45.

Salo, T. V. 2013. Decentralizaciya finansovoyi systemy: stan ta ocinka rivnya v Ukrayini. Efektyvnist’ derzhavnogo upravlinnya. (35). s. 324-330.

Lunina, I. O. 2014. Byudzhetna decentralizaciya: cili ta napryamy reform. Ekonomika Ukrayiny. 11. s. 61-75.

Bajmuratov, M. 2015. Decentralizaciya ta kompetenciya miscevogo samovryaduvannya v Ukrayini. Viche. (12). s. 14-17.

Danylyshyn, B. M., Pylypiv, V. V. 2016. Decentralizaciya u krayinax YeS: uroky dlya Ukrayiny. Regional’na ekonomika. 1. s. 5-11.

Demydenko, L. M., Nakonechna, Yu.L. 2015. Fiskal’na decentralizaciya: nimeczkyj dosvid ta ukrayinski realiyi. Visnyk Kyivskogo nacionalnogo universytetu im. Tarasa Shevchenka. Seriya: Ekonomika. 2 (167). http://dx.doi.org/10.17721/1728-2667.2015/167-2/8.

Berezivs’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e- hromada.com.ua/portal/apps/insights/index.html#/view/69b2cdede7e04fc09a36a8a7c9c4dd8c.

Zasul’s’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/501ea107d2ad4340891e180858adbba6.

Baranivs’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/ebdb146d96454b8aa3f22fe3838ce04b.

Illinivs’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/db633c55e2cb4e23a4ccb93e8ce45e4f.

Mamayivs’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/c9df4b00856641c1add84be0dc061ad6.

Sokyryans’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/21afb18bf0714eddb661a6dd63550ceb.

Dolyns’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/ecd94581693b4af283d2d7cf7932d52d.

Sofiyivs’ka OTG – prognoz za dany’my’ ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/cc402c0b2abd4741aedf46727fa4087a.

Orixivs’ka OTG – prognoz za dany’my’ ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/90328e95c3c345de83104225eaa4831b.

Gulyajpil’s’ka OTG – prognoz za dany’my’ ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/faa3db95974849659932363c8af77c24.

Gluxivs’ka OTG – prognoz za danymy ekonomichnogo profajlu VKursi. Prognozni modeli. URL: https://gisportal.e-hromada.com.ua/ portal/apps/insights/index.html#/view/967a12a769bd446c915a3bc3e180fe32.

Kharlamova G. 2018. Riven’ nacional’noyi bezpeky krayiny v systemi suchasnyx geoekonomichnyx zagroz: analiz, ocinka, prognoz. Kyyiv: Agrar Media Grup. 380 p.

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