Публикации

Монография подготовлена на базе исследования на тему: «Подготовка предложений по повышению эффективности управления государственной собственностью в Российской Федерации как одного из источников внутреннего финансирования дефицита консолидированных региональных бюджетов. Методологическое и теоретическое обоснование совершенствования существующей модели управления государственной собственностью с учетом международного опыта», проведенного для Администрации Президента Российской Федерации в 2017-2018 гг. (ТЗ №130 от 2017 г.). 

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.

В настоящей работе на данных Обследования рабочей силы (ОРС) Росстата за 2000, 2005, 2010 и 2015 гг.  впервые подробно рассмотрен масштаб, динамика и структура занятости в неформальном секторе работников предпенсионного и пенсионного возраста, а также долгосрочные тенденции в ее социально-демографических и профессионально-отраслевых характеристиках, которые ранее не становились предметом целенаправленного изучения.

As a result of the global warming, the situation in the Barents Sea leads to several important consequences. Firstly, oil and gas drilling becomes much easier than before. Therefore, it may raise the level of discussions on disputed shelf zones where the deposits are located, especially near to Norway-Russia sea border. Secondly, oil and gas excavation leads to potential threats to fishing by changing natural habitats, which in turn can create serious damage to the economies.

We construct a model, which helps to highlight potential disputed territories and analyze preferences of the countries interested in fossil fuels and fish resources. We also compare different scenarios of resource allocation with allocation by current agreement.

In this article, we consider the problem of planning maintenance operations at a locomotive maintenance depot. There are three types of tracks at the depot: buffer tracks, access tracks and service tracks. A depot consists of up to one buffer track and a number of access tracks, each of them ending with one service track. Each of these tracks has a limited capacity measured in locomotive sections. We present a constraint programming model and a greedy algorithm for solving the problem of planning maintenance operations. Using lifelike data based on the operation of several locomotive maintenance depots in Eastern polygon of Russian Railways, we carry out numerical experiments to compare the presented approaches.

This article investigates the role of boards in founder-managed firms with concentrated ownership in emerging markets. The literature frequently suggests that in this type of companies, boards have little influence on the corporate decision making. The article conducts a case study of AFK Sistema—a large Russian founder-managed firm with concentrated ownership. We observe that, contrary to the expectations, in this company, the founder provided real authority to the board, at the same time focusing on recruiting independent (mainly foreign) members. Based on this case, we argue that selectively empowering boards in this type of ownership setting could be beneficial for the firm: Selective empowerment is a source of intrinsic motivationfor the independent board members, making them proactively search for new projects and assist in their implementation on behalf of the firm. As a result, the company can overcome a number of important barriers in its development.

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.