It is justified the use of a generic integral indicator and its graphical interpretation for the enterprise staff incentives system establishing, which makes it possible to determine the influence of group indicators as well as to establish the functional links between indicators. The integral index of personnel incentives efficiency and influence factors are determined. The most important quantitative factors that affect the high efficiency of staff incentives are defined. The relevance between the results of enterprises and indicators of the effectiveness of staff incentives is determined. The educational and professional quality of the staff is determined by means of a score. The employee motivational profile diagram is constructed. The staff assessment system has been developed to improve staff skills. The based on a competent and attributive approach review of grades and categories for staff is proposed.
Russia’s military aggression against Ukraine has undermined the global energy system, leading to high energy prices and increased concerns about the EU’s energy security EU leaders have adopted a number of laws and developed the REPowerEU plan to reduce dependence on Russian energy imports by accelerating the transition to clean energy and creating a more sustainable energy system in Europe. The plan includes measures to save energy, diversify supplies and rapidly replace fossil fuels with clean energy sources, as well as prioritizes equity and solidarity, taking into account the energy balances of each EU member state. It builds on the Fit for 55 proposals and supports the ambitious goal of achieving at least -55% net greenhouse gas emissions by 2030 and climate neutrality by 2050.The aim of the article is to study the use of renewable energy in the European Union, the application of autoregressive models to predict the development of renewable energy.The results and conclusions. As a result of the study, based on the methodology of transients, a model of change in the volume of investment in wind energy was developed in the form of a differential equation. It was proved that the transition process is stable, even with time constraints or reduction of investment in the development of wind energy over time it will return to a stable growing trend (which was obtained by means of bagatofactor autoregressive models).
The article is devoted to the analysis of wages as an economic category, as the main factor in the functioning of the labor market, an assessment of multiple indicators is carried out such as: annual average wage size dynamics and changes in the standard of the population living, taking into account inflationary processes. The index of real wages and the level of purchasing power of the population are analyzed. The assessment of the average monthly salary in the regions of Ukraine showed that in regions with a high average salary, it exceeds the new approved minimum only 1.8 times. The exception is the Dnipropetrovsk region, where the average wage is one of the highest (after Kiev, Donetsk and Kiev regions), and exceeds the minimum wage by 2.32 times, which is 20% better than in general about Ukraine. To analyze the dynamics of wages in Ukraine, forecasting of the average nominal wage was carried out using a multiplicative model of nonlinear autoregression of the fifth degree based on the input data of the five previous periods. An assessment of the average nominal wage based on the developed model showed that a decrease in the growth rate of nominal wages is expected in the near future, together with the identified trends (a decrease in real wages and a decrease in the gap between the minimum and nominal wages) indicates an increase in the crisis in Ukraine.
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