Peculiarities of formation of the country’s innovative environment based on complex analysis of resources of innovation

Bukreieva, Daria

doi:10.33271/nvngu/2020-5/171

Cited by 3 publications

(2 citation statements)

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“…(Bacon, et al, 2019) use clustering methods, Bayesian Neural Networks, and correlation analysis to develop predictions relating to the level of national innovation through machine learning. (Bukreieva, 2020) analyzes the economic policies that can lead to the growth of a country in terms of technological innovation by taking the case of Ukraine. The results show that for technological innovation to become a driver for the country's economic growth, it is necessary to invest in research and development and in a regulatory and institutional framework capable of supporting intangible capital in the long term.…”

Section: Literature Reviewmentioning

confidence: 99%

The Innovation Index in Europe

Leogrande¹,

Laureti²,

Costantiello³

2022

Preprint

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The following article analyzes the determinants of the innovation index in Europe. The data refer to the European Innovation Scoreboard-EIS of the European Commission for the period between 2010 and 2019 for 36 countries. The data are analyzed using the following econometric techniques: Panel Data with Random Effects, Panel Data with Fixed Effects, Dynamic Panel Data, Pooled OLS, WLS. The results show that the Innovation Index is negatively connected to some variables, among which the most significant are "GDP per capita", "R&D expenditure public sector", "Venture capital", "Tertiary education", and positively connected to some variables among which the most relevant are: "Government procurement of advanced technology products", "Average annual population growth", "Finance and support", "Human resources", "Marketing or organisational innovators", "Linkages". A clustering was then carried out using the unsupervised k-Means algorithm optimized with the Silhouette coefficient which shows the presence of 2 clusters per value of the Innovation Index. Eight machine learning algorithms has been used for prediction with real data. The Tree Ensemble Regression algorithm has been chosen as best performer. A further prediction has been made with the augmented data. The result shows that the best performing algorithm is Linear Regression with an innovation index value predicted to grow by approximately 3.38%.

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Section: Literature Reviewmentioning

confidence: 99%

The Innovation Index in Europe

Leogrande¹,

Laureti²,

Costantiello³

2022

Preprint

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“…The results obtained are compared with the standard values [39], which makes it possible to conclude about the overall effectiveness of innovative technology. On the one hand, effective innovative technology enables the mining company to gain competitive advantages (improve the competitive situation in the market for its product and financial standing, qualitatively improve production potential and human resources, etc.).…”

Section: Organizational and Managerialmentioning

confidence: 99%

Assessing the effectiveness of innovative projects implementation in the development of coal deposits by geotechnology of underground gasification

Bukreieva

Saik

Lozynskyi

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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This paper studies the relevant issues of innovative projects implementation, in particular, during the prospective development of coal reserves by geotechnology of underground gasification. To solve the objectives set in the work, an integrated approach is applied, which includes: critical analysis, generalization, systematization and synthesis to determine the phases and stages of the innovative project implementation; conducting econometric modeling to calculate the total effect from the implementation of innovations. The conducted research has proven that it is important to determine the phase and stage of an innovative project in order to increase the efficiency of its assessment. The prospect of introducing geotechnology for underground gasification has been revealed, which in conditions of “pre-investment” uncertainty is associated with the lack of reliable information on the choice of priority directions and methods of practical use of innovation (based on the experience of industrial research and the operation of closed coal gasification plants). An integrated system of indicators for assessing the effectiveness of innovative project at the stage of its implementation has been developed and an algorithm for determining the total effect from its implementation has been proposed.

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Innovative Development of Ukraine’s Economy

et al. 2021

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Abstract. The development of the world economy, despite the barriers, is quite dynamic. The drivers of growth and stabilization of national economies at present are not raw materials industries, nor even industrial enterprises, but companies that generate innovative products. The enterprises that are most dynamically developing and producing innovations include enterprises in the field of medicine and IT. The updated list of S&P 500 companies showed that 50% of all the most innovative companies in the world are registered in the United States. Despite the pandemic challenges, some economies have not suffered significant losses due to quarantine restrictions. Since the level of innovative development of the national economy is a total (integrated) expression of the whole complex of innovative products created by companies of such a country, the initial elements are the creation of favorable regulatory and state support for developers of innovative products, tax benefits and incentives, export support for innovative products and so on. In order to assess these achievements, international organizations have developed appropriate methods for measuring the index of innovation development, namely: Global Innovation Index (GII) (WIPO and Cornell University), Bloomberg Innovation Index (BII) (Bloomberg), Global Competitiveness Index (World Economic Forum), World Competitiveness Index (IMD World Competitiveness Center). Studies have shown that against the background of the flagship countries (Switzerland, Sweden, Singapore, USA, Germany, China, etc.), Ukraine is constantly losing its position in the rankings, which is an objective reason for deindustrialization of the economy and denationalization and privatization of strategic enterprises of national importance. Today, Ukraine ranks 45th (GII) and 56th (BII), respectively, and belongs to the group of countries with below-average incomes per capita. At the same time, Ukraine ranks 71st in terms of innovation spending and 37th in terms of innovation development (profit). The development of Ukraine’s innovation component, according to experts and specialists, is ahead of forecast values. Keywords: national economy, innovations, innovative development, innovative products, innovative companies, indices of innovative development, gross national income per capita. JEL Classification O30 Formulas: 0; fig.: 1; tabl.: 4; bibl.: 19.

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Peculiarities of formation of the country’s innovative environment based on complex analysis of resources of innovation

Cited by 3 publications

References 0 publications

The Innovation Index in Europe

The Innovation Index in Europe

Assessing the effectiveness of innovative projects implementation in the development of coal deposits by geotechnology of underground gasification

Innovative Development of Ukraine’s Economy

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