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LONG-TERM FORECASTING OF INFRASTRUCTURE DEVELOPMENT IN THE SYSTEM OF PUBLIC ADMINISTRATION AND STRATEGIC PLANNING OF THE RUSSIAN FEDERATION

A. Konovalov, G. Baturova, S.Semenov, O. Filatova

First published: 2019https://doi.org/10.5593/sgemsocial2019V/1.1/S03.038View metrics

Abstract

The article devoted to development and implementation of long-term forecast of the development of public infrastructure in the Russian Federation and its integration into the system of strategic planning. The life cycle of many infrastructure objects (transport, energy, social, etc.) is tens and hundreds of years (railways, sea and river ports, airports, etc.). Various forms and models of public-private partnership are in demand during their creation or modernization in the conditions of objective budget constraints. Business needs state benchmarks for long term planning and development of public infrastructure for harmonization and alignment with the strategies, forecasts, programmes and plans. In achieving the goals of effective infrastructure development, it is impossible to rely only on market regulation tools, they are not optimal in terms of choosing development priorities. As a rule, the business community chooses to participate exclusively in the most cost-effective projects, which does not solve the problems of integrated development of public infrastructure. Strategic planning can and should play a crucial role in overcoming this contradiction. The state, on the one hand, should have a clear idea of the objective state of the development of public infrastructure at the moment and in the long term, and on the other hand, based on this information, to make an informed choice of development priorities.

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Publication details

Title
LONG-TERM FORECASTING OF INFRASTRUCTURE DEVELOPMENT IN THE SYSTEM OF PUBLIC ADMINISTRATION AND STRATEGIC PLANNING OF THE RUSSIAN FEDERATION
Authors
A. Konovalov, G. Baturova, S.Semenov, O. Filatova
Proceedings
6th International Scientific Conference on Social Sciences and Arts SGEM 2019
Publisher
STEF92 Technology
Year
2019
Pages
313-320
SWS Citekey
Konovalov20193313320
ISSN
2367-5659
ISBN
978-619-7408-73-7
Language
en
Publication type
Proceedings Paper
Keywords
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