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EN
In the first part of the paper the author discusses ties and interdependencies between the indirect and direct indicators, which serve to measure the effects of the production process, and fixed assets coupled with other production factors. Basing of these ties and interdependencies he distinguished indicators directly differentiating the category of the fixed assets' profitability, which were adopted as variables helping determine the level of that profitability. The obtained coefficients, which characterised the relations between qualitative indicators, served as the basis for an analysis presented in the second part where the author used the empirical data of farms operating in the Central European macro-region in 1997-1999, divided into groups in accordance with their size, to show the intensity and direction of the indicators' influence on the relative growth of the fixed assets' profitability. The research tools employed in the process consisted of interaction models, expressed as a multiple regression of the Cobb-Douglas type, which constituted the basis for analysing the indicators' influence on the of profitability of the farms' fixed assets in the period under investigation.
EN
Although Ukraine uses algorithms to reflect links between science, innovation and production, they need adaptation to changing realities. Use of indicators included in the Innovation Scoreboard (IS) may provide an adaptation mechanism. However, it's not always possible to derive all its indicators using the existing statistics, and their interpretation doesn't always correspond to international standards. With respect to R&D, mismatch occurs in accounting and reporting of R&D funding and R&D personnel in full-time equivalent. With respect to innovation, there's no information on SMEs engaged in innovation for internal purposes, SMEs engaged in joint innovation projects in industry. These missing data can be collected through relevant surveys according to European methodology. Trial surveys have been conducted in several Ukrainian regions, and the collected data have already been used by official statistics. Estimates of several IS indicators were derived in 2007 from the existing information. They show that Ukraine has rather high estimate for human capital, but lags behind the EU average (taken as 100%) by indicators of innovation activity. As for key patenting indicators, Ukraine fails to match even least developed EU members. While the employment in medium- and high-tech sectors in Ukraine is rather good (partly due to incorrect reporting), their output is still very low. Therefore, in spite of declarations about innovation model, S&T and innovation performance in Ukraine radically differs from the EU.
EN
This paper presents the analysis of existing social, economic, environmental indices and indicators. Also the vector model of the evaluation of sustainable lifestyle and its management mechanism are presented.
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