Публикации

Научное исследование посвящено вопросам управления государственной собственностью на уровне российского региона. Рассмотрены все основные стороны процесса управления госсобственностью под углом зрения наиболее значимых проблем, актуальных для современного этапа развития российской экономики. Предложены возможные пути решения выявленных проблем, нацеленные на повышение эффективности управленческого процесса имеющимися у регионов объектами государственной собственности.

Для студентов экономических специальностей, работников органов государственной власти и управления, а также для всех интересующихся вопросами управления объектами государственной собственности на региональном и муниципальном уровне.

Over the past years, there is a deep interest in the analysis of different communities and complex networks. Identification of the most important elements in such networks is one of the main areas of research. However, the heterogeneity of real networks makes the problem both important and problematic. The application of SRIC and LRIC indices can be used to solve the problem since they take into account the individual properties of nodes, the possibility of their group influence, and topological structure of the whole network. However, the computational complexity of such indices needs further consideration. Our main focus is on the performance of SRIC and LRIC indices. We propose several modes on how to decrease the computational complexity of these indices. The runtime comparison of the sequential and parallel computation of the proposed models is also given.

In recent years corporate international diversification has become a widely used growth strategy for companies from both developed and emerging markets. Nevertheless, academic papers provide contradictory results on whether the influence of international diversification on firm performance is positive or negative. This chapter presents the results of an empirical analysis of corporate international diversification – performance relationship on a sample of companies from BRIC countries, which expanded geographically in 2005-2015. We contribute to the existing literature by applying a new methodology to identify the performance effects of corporate international diversification based on an economic profit measure. The results indicate that there is a non-linear relationship between the degree of international diversification and economics profit spread. Additionally, for BRIC companies international diversification on average does not have a significant impact on expected long term performance, measured by Tobin’s Q.

We consider an application of long-range interaction centrality (LRIC) to the problem of the influence assessment in the global retail food network. Firstly, we reconstruct an initial graph into the graph of directed intensities based on individual node’s characteristics and possibility of the group influence. Secondly, we apply different models of the indirect influence estimation based on simple paths and random walks. This approach can help us to estimate node-to-node influence in networks. Finally, we aggregate node-to-node influence into the influence index. The model is applied to the food trade network based on the World International Trade Solution database. The results obtained for the global trade by different product commodities are compared with classical centrality measures.

Using the SIPRI Arms Transfers Database covering all trade in military equipment over the period 1950–2018, we examine the relationship between countries from a novel empirical perspective. We consider the arms transfers network as a multiplex network where each layer corresponds to a particular armament category. First, we analyze how different layers overlap and elucidate main ties between countries. Second, we consider different patterns of trade in order to identify countries specializing on particular armament categories and analyze how they change their export structure in dynamic. We also examine how countries influence each other at different layers of multiplex network. Finally, we analyze the influence of countries in the whole network.