Macroeconomic Determinants of Economic Development and Growth in Ukraine: Logistic Regression Analysis

Zomchak, Larysa; Starchevska, Iryna

doi:10.1007/978-3-031-24475-9_31

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…Taghvaee et al [25] vector autoregressive model Udemba and Keleş [26] ARDL Liu et al [27] ARIMA de Armas et al [28] operations research Wu et al [29] graph neural networks Chai et al [30] fuzzy logic Moreta et al [31] text analysis Zomchak and Starchevska [32] logistic regression Holloway and Mengersen [33] machine learning Alharbi et al [34] hierarchical framework Bielinskyi et al [35] econophysics Chen et al [36] data envelopment analysis Sutthichaimethee and Ariyasajjakorn [37] structural equation model Izonin et al [38] Wiener polynomial approximation Horoshkova et al [39] Kuznets curve Matviychuk et al [40] fractal analysis Valaskova et al [41] regression analysis…”

Section: Authors Methodsmentioning

confidence: 99%

Sustainable development of Ukraine as a combination of social, economic and environmental components: structural econometric model of three-pillar approach

Zomchak

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The combination of the economic, social and environmental issues of the country-level development in the case of Ukraine requires modernization of the national economic system and permanent deep institutional reforms. These measures should be aimed at forming a diverse, competitive and socially oriented post-industrial economy capable of ensuring sustainable development. To ensure the improvement of the management of Ukraine’s sustainable development strategy, structural (simultaneous) model is proposed, based on three endogenous (namely GDP as economic variable, income per household as social variable and the expenses for the environmental protection as environmental variable) and seven exogenous variables. Such an approach makes it possible to investigate the interdependence between variables. Model parameters estimates were calculated with the two-step least squares method. A forecast of the development of the main indicators characterizing the economic, social and environmental components of development at the country level was also estimated. For Ukraine in 2021, according to the forecast based on the structural model, the economic and environmental components will have positive dynamics and rapid growth, while the social component will develop, but more stably and without rapid growth.

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Section: Authors Methodsmentioning

confidence: 99%

Sustainable development of Ukraine as a combination of social, economic and environmental components: structural econometric model of three-pillar approach

Zomchak

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Зрозуміло, що процеси цифровізації аграрного сектору окремих країн мають свої особливості, перебувають на різних етапах та можуть мати різну ефективність. Потенціал цифровізації аграрного сектору України досліджено, зокрема, в працях (Derkach & Mykhaylichenko, 2021;Babenko et al, 2022;Voronenko et al, 2022;Zomchak & Starchevska, 2023).…”

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Digital transformation of the agricultural sector: prospects, challenges and solutions

Nehrey

2023

spne

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The digital transformation of the agricultural sector has received considerable attention due to its potential to increase efficiency and productivity. This paper reviews recent research and publications to identify key themes and gaps in the digitalisation of agriculture. The analysis shows that while some studies highlight the potential benefits of digital agriculture, others emphasise the limitations and challenges associated with its implementation. The case of Ukraine fits into the ‘light digitalisation’ scenario, where agriculture digitalisation is at a basic level, data control is limited, and digital literacy and technology adoption varies among different agricultural stakeholders.To promote the digitalisation process, data exchange between stakeholders such as farmers, government, traders, producers, consumers and AgriTech should be improved. Digital platforms, e-governance, agricultural extension, access to financial services and information exchange are very important for digital transformation. The author explores digital interactions between farmers and agri-tech companies, food traders/producers and consumers, highlighting the elements and benefits of such interactions.The role of the government in creating a reliable digitalisation system and facilitating cooperation between stakeholders is discussed. It proposes the implementation of solutions such as farm management systems, data collection tools, decision support systems and data-driven farming technologies. These solutions facilitate data analysis, informed decision-making and optimisation of farm operations.Challenges and limitations associated with the digital transformation of the agricultural sector are limited financial resources, regulatory constraints, resistance to change, and privacy concerns. Further research is needed to explore data quality standards, data ownership and privacy rules, skills development, modelling systems and digital platforms. JEL classification: H83, O38, Q10, Q18

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Multidimensional Ranking and Taxonomic Analysis of the Regional Socio-Economic Development in Ukraine

Vdovyn,

Zomchak

2023

Lecture Notes on Data Engineering and Communications Technologies

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Macroeconomic Determinants of Economic Development and Growth in Ukraine: Logistic Regression Analysis

Cited by 9 publications

References 11 publications

Sustainable development of Ukraine as a combination of social, economic and environmental components: structural econometric model of three-pillar approach

Sustainable development of Ukraine as a combination of social, economic and environmental components: structural econometric model of three-pillar approach

Digital transformation of the agricultural sector: prospects, challenges and solutions

Multidimensional Ranking and Taxonomic Analysis of the Regional Socio-Economic Development in Ukraine

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