Results of an assessment of a condition of the consumer market are presented in the article on the basis of official statistics data. At the heart of an assessment, the method of the indicative analysis lies. The technique includes five modules: quality of consumer goods, works, services; food security, nonfood safety; safety of services; security of participants of the consumer market. Also results of interactive Internet research of the condition of the ultimate consumer are presented in the article, by means of the carried out research. Interactive research is presented by 3 blocks: the general block (allows to make the respondent’s portrait); the special block (allows to estimate the changes in price, quality and the range of consumer goods and services); the additional block (allows respondents to leave comments). On the basis of the conducted research, it is possible to draw a conclusion that the assessment of the state received on the basis of methodical tools, shows positive dynamics, nevertheless, the condition of the consumer market remains unsatisfactory that also is confirmed by results of interactive research. The recommendations, allowing to lower the rise in prices and increase the quality of consumer goods and services are presented in the article.

The article is devoted to the variable and disproportionate funding of science in the Russian economy. The paper is focused on the analysis of the Russian financial flows into scientific research and development. The paper explains the dynamics of the main investment flows trends into research and development, highlights the causes of financial flows variable dynamics directed to the high-tech industry. In the work, the investment situation in the Russian market was compared with the foreign experience. The genesis of the optimal financial distribution problems showed the need to develop a dynamic model with the built-in differential equations to forecast the behavioral dynamics of investment flows. We selected the statistical indicators, which have a significant impact on the dynamics of investment flows directed into science. To assess the dynamics of investment flows, we have developed a methodology, which provides a cumulative assessment of the territory investment attractiveness. The multifactor integral estimation allows to describe a data array, reflecting the accumulation of investment attractiveness over time depending on the dynamics of the resultant socio-economic proportional indexes. Due to the accumulation of a data array over time using a differential equation, it is possible to obtain a forecast of the volume of the territory investment attractiveness. The amount of the projected investment flows depends directly on the amount of the investment attractiveness accumulated for the previous step of model’s time. The integrated assessment of the investment attractiveness of the scientific sector in the region allows to reveal the investors preference of the regions with a high concentration of research institutions and higher education institutes.