Socioeconomic policy should satisfy the interests of the society as much as possible and contribute to improving the quality of life. This actualizes the role of developing the theoretical and methodological foundations for building an innovative information system for monitoring the socioeconomic situation and population responses. The study built and tested an algorithm for supporting management decisions based on the collection of large data sets of socioeconomic information based on the principles of the digital economy and processing them through network analysis. The algorithm is focused on building a monitoring system that presupposes a synergy of the authorities and the society, not only in its pensionary part, but also among the masses, which are diverse in their representativeness. The result of the study was the formation of a theoretical and methodological framework for creating a system for making management decisions and assessing the effectiveness of the activities of government bodies, based on the principles of reflection of the final beneficiaries of economic policy.

This article presents a dataset for calculating the index of inclusive growth in the regions of the Russian Federation, estimated on key and institutional foundations of the performance of inclusive development. The authors of the research used the methodology of the World Economic Bank and the World Economic Forum, based on a comparative analysis of key and institutional indicators of the performance of territorial entities, which they adapted to the socio-economic features of the regional division of Russia. For the purpose of formation of a dataset was executed assessment of the inclusive growth index for 26 regions of the Russian Federation, it allowed to define the strengths and weaknesses of the inclusive development of each region of the Russian Federation. The dataset can be useful in the formation of strategic programs of inclusive development.

We hear a lot of political declarations stating the importance of developing an innovation economy by fostering venture capital inflows. But it is obvious that the venture capital market makes an extremely low contribution in terms of total R&D spending or gross investment. Thus, theory says venture capital investment (VCI) is important due to its huge impact on modernization, but practitioners note that there is no evidence and VCI constitutes about 1% of total investments. Formal logic foregrounds the thesis that the effect of venture investment is important and significant, but delayed. We contribute to the theory and discussion of the problem of choosing between venture and non-venture funding by determining a specific niche for venture capital investment. We derive lagged regression models for GDP and patent applications for the US and Russia, to test VCI’s impact on economic growth and innovation. Comparison of model estimates shows significant VCI influence on GDP at a 4-6- year lag and no synchronous influence, valid for both the US and Russia. We prove the main hypothesis of our research: the effect of venture investment on economic and innovation development parameters is significant and much greater than that of ‘conventional’ investment.

Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies

Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies