DOI: https://doi.org/10.33917/es-3.183.2022.110-121

The article provides a comprehensive structural analysis of ensuring stability for the territorial housing market in a turbulent economy on the example of the Penza region. The study was carried out in the following fields: structure of developers, volumes and dynamics of construction, the price range of new buildings. In addition, financial express analysis of the main developers in the region was carried out in order to identify their financial stability over the forecast horizon in the face of economic uncertainty. As a separate segment of the research, it is accepted to study dynamics of the main parameters of the mortgage territorial market as the main regulator of the housing market development. Formulated conclusions provide an opportunity to the subjects of the territorial housing market to form innovative individual corporate and government strategies of sustainable development for the short term in a turbulent economy.

Источники:

1. Asaul A.N., Asaul M.A., Starinskii V.N., Shcherbina G.F. Analiz i prognozirovanie rynka [Analysis and Forecasting of the Market]. Moscow, Yurait, 2022, 296 p. (Vysshee obrazovanie).

2. Asaul A.N., Starinskii V.N., Mamedov Sh.M., Shcherbina G.F. Analiz i prognozirovanie rynochnoi kon”yunktury [Analysis and Forecasting of Market Conditions]. Saint-Petersburg, ANO “Institut problem ekonomicheskogo vozrozhdeniya”, 2018, 464 p.

3. Asaul A.N., Asaul M.A., Lyulin P.B., Chepachenko N.V. Trendy zhilishchnogo stroitel’stva v Rossii i srednesrochnyi prognoz [Housing Construction Trends in Russia and Medium-term Forecast]. Problemy prognozirovaniya, 2019, no 3, pp. 111–117.

4. Asaul A. N., Asaul M. A., Liulin P. B., Chepachenko N.V. Housing Construction in Russia: Trends and Medium-Range Forecasts. Studies on Russian Economic Development, 2019, vol. 30, N 3, pp. 313–318, DOI 10.1134/S1075700719030055.

5. Baronin S.A., Kulakov K.Yu. Genezis upravleniya stoimost’yu kontraktov zhiznennogo tsikla ob”ekta kapital’nogo stroitel’stva i stoimosti vladeniya nedvizhimost’yu [Genesis of Managing the Cost of Life Cycle Contracts for a Capital Construction Object and the Cost of Real Estate Ownership]. Nedvizhimost’: ekonomika, upravlenie, 2020, no 1, pp. 10–14.

6. Baronin S.A., Kulakov K.Yu., Timofeev K. P. Teoriya i praktika upravleniya konkurentosposobnost’yu na pervichnykh zhilishchnykh rynkakh po segment kompanii-liderov [Theory and Practice of Managing Competitiveness in Primary Housing Markets in the Segment of Leading Companies]. Penza, Penzenskii gosudarstvennyi universitet arkhitektury i stroitel’stva, 2017, 156 p.

7. Baronin S., Kulakov K. Development of life cycle valuation with priority of national projects and energy efficiency. E3S Web of Conferences. Rostov-on-Don, October 20–23, 2020. Rostov-on-Don, 2020, p. 07006, DOI 10.1051/e3sconf/202021707006.

8. Buzyrev V.V., Selyutina L.G. Zhilishchnaya problema i puti ee resheniya v sovremennykh usloviyakh [Housing Problem and Ways of Its Solution in Modern Conditions]. Saint-Petersburg, Izd-vo Sankt-Peterburgskogo gosudarstvennogo universiteta, 2013, 335 p.

DOI: https://doi.org/10.33917/es-3.177.2021.6-17

Energy sector, like the defence complex, is one of the key industries that serve as a basis for the life support processes of the country and the resulting stability of the state political structure. World practice has clearly demonstrated the key dependence of domestic political and social stability on reliability and sustainability of energy supply. Multifactorial survivability of the energy supersystem under normal and critical conditions of natural and anthropogenic origin can be provided through forming a net-centric system of elevated management stability, based on a distributed network of inter-corporate disaster-resistant data centers for processing and storing extremely large data sets. It is proposed to use data centers as bases for digital “twins” of energy facilities and processes in order to finally achieve a new quality of control based on digital topology within a single digital model of the energy supersystem with the possibility of secure collection, storage, processing and exchange of data, necessary for managing power facilities of various sectoral subsystems of the Russian fuel and energy complex, as well as for regional and municipal authorities. Application of digital topology makes it possible, during local interactions, to search for and implement solutions for moving towards local, network and polycentric resource-operational optima in order to minimize costs (price burden on the consumer) of separate companies and the entire industry with the aim of maintaining reliability and sustainability of energy supply, including security costs of the critical information infrastructure systems

DOI: 10.33917/es-1.175.2021.114-121

Information support for making strategic decisions in groups of companies can be, on the one hand, very relevant due to the large number of parameters taken into account, on the other hand, it is quite productive due to the objective measurability of these parameters. Unlike traditional approaches to the economic analysis of an independent business entity, subsidiaries and dependent companies (SDCs) are also evaluated in terms of their impact on the parent company and the group of companies as a whole. Therefore, the authors of the study have formed a set of indicators that can be regrouped for various analytical and forecasting purposes, thereby creating and testing the author’s methodology for assessing the activities of subsidiariesn and affiliates

The paper addresses the issue of forming an intelligent digital infrastructure for managing the country’s economy in special conditions: global disasters, catastrophes and emergencies. The experience of creating large information systems for managing the country’s economy in a special period is evaluated. The convergent approach for creating the required system for management support is proposed. It is shown that under these conditions, high management efficiency can be achieved on the basis of special support for self-organization processes and anti-collapse self-adjusting integration of information system segments and intelligent services that are adaptable to conditions of a known, predictable and unknown nature. At the same time, the integration of network infrastructures involves the distributed processing and storage of data based on interaction and integration of various network environments, which allows to achieve previously unattainable reliability, stability and recoverability of economic management.