Prospects for the introduction of innovations by agricultural enterprises in Ukraine

Promotion of innovations on the market is hampered in Ukraine by the lack of methodological approaches for analyzing the efficiency of innovative projects. The lack of appropriate methodology leads companies to refuse to innovate because of the uncertainty of final economic outcomes. The introduction of project based methods for innovation activity management allows, on the one hand, to reconcile strategic and operational objectives within the innovation process, innovation activity and general financial and economic activity of the enterprise, and on the other hand, to implement cognitive approaches to organization of company’s innovation management.
The research argues the possibilities of applying the canonical correlation method for structuring the causal links between the determined components of a company innovative capability, such as innovation potential, innovative business opportunities and system margin. As these components may be further assessed by quantitative indices, the method of regression analysis is also used to develop analytical tools for innovation management, which allow to reveal the interrelated impact of expenses on the results of innovation activity. The paper analyzes changes in a company innovative capability that can be provoked by increased material, depreciation, labor and information costs and discusses directions of interrelated changes. Practical testing of submitted proposals is realized based on the Ukrainian companies’ statements for 2012–2017.

Existing forecasts of Russian energy sector development have a number of general provisions and differ in approaches to their construction. The most realistic forecast is made within the framework of the Energy Strategy of Russia for the period up to 2035. However, the dynamism and high uncertainty of economic processes, international relations, domestic policy and the rapid growth of scientific and technical progress need a systematic correction of any forecast. The purpose of the article is to develop theoretical provisions and practical recommendations for making a forecast for the development of the Russian fuel and energy complex based on the application of the factor approach.
The forecasting results are used in the development of management decisions, therefore, the authors of the article take into account the influence of various factors while making the forecast, but they (factors) are all quantitatively commensurable. To make a reliable forecast, the internal environment of the research object is studied in detail, organizational and economic problems in the development of the Russian fuel and energy complex are revealed, and methods for their elimination are suggested. The external environment is also analyzed and trends in the development of world energy markets are revealed. To forecast the state of the fuel and energy complex, an integral indicator is chosen reflecting the level of its technical and economic development.

In the contemporary world, the sustainable development of national economies is impossible without the timely and high-quality implementation of innovation. The prompt use of innovations is considered to be the key to obtaining and maintaining both new and existing competitive advantages of both individual enterprises and the economy in general. This study aims to determine the dependence of national economic growth (based on the example of Ukraine and Poland) on the innovative activities of enterprises and innovative policies of governments, as well as the development of the improvement offers concerning the innovative policy of Ukraine based on international experience. The impact of innovation indicators on the level of GDP per capita in Ukraine and Poland over the period from 2000 to 2018 has been studied in the article. The most important factors of influence on the GDP per capita, through multivariate statistical analysis and regression analysis, were identified from the list of indicators of innovation activity, and the regression equation was constructed. For Ukraine, such factors are the “innovativeness of enterprises” (that explains the 34.19% of total dispersion), the “innovative inputs” (that explains the 17.11% of dispersion) factors and factor of “financing and implementation of innovations” (that explains 27.8% of the total dispersion). For Poland, the factor of “innovative activity” explains 44.35% of dispersion, and the factor of “innovative actions” explains 38.47% of total dispersion. Moreover, the suggestions involving innovation policy development of Ukraine are provided.