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Regular version of the site
Of all publications in the section: 124
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Article
А.В. Дешко, И.Б. Ипатова, О.Г. Солнцев Проблемы прогнозирования. 2016. № 3. С. 12-31.
Added: Oct 23, 2015
Article
Ревич Б. А., Харькова Т. Л., Кваша Е. А. и др. Проблемы прогнозирования. 2014. № 2. С. 127-135.
Added: Mar 21, 2014
Article
Московская А. А., Соболева И. В. Проблемы прогнозирования. 2016. Т. 27. № 6. С. 701--706.

The article deals with a relatively new phenomenon for Russia, i.e., social entrepreneurship. Based on an analysis of international experience in the development of social enterprises, their characteristics have been studied, the advantages and risks in support of social enterprise in meeting the social needs have been revealed, and the problems and prospects of development of social entrepreneurship in Russia have been discussedю.

Added: Sep 27, 2016
Article
Верников А. В. Проблемы прогнозирования. 2015. № 2(149). С. 108-120.
Added: Apr 27, 2015
Article
Коссов В. В. Проблемы прогнозирования. 2016. № 3. С. 39-52.

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 2006–2010 based on the data for 1997–2005 has been presented.

 

Added: Jan 8, 2017
Article
Коссов В. В. Проблемы прогнозирования. 2014. № 5. С. 39-52.

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 2006–2010 based on the data for 1997–2005 has been presented.  

Added: Oct 21, 2014
Article
Галимов Д. И., Сальников В. А. Проблемы прогнозирования. 2020.
Added: Oct 31, 2019
Article
А.Г.Фонотов Проблемы прогнозирования. 2015. № 5. С. 44-53.

This paper reviews Russia’s strategic objectives of development and analyzes possible ways to achieve them. Measures to increase the performance and efficiency of the country’s innovation policy are discussed. © 2015, Pleiades Publishing, Ltd.

Added: Oct 8, 2015
Article
Розанова Н. М. Проблемы прогнозирования. 2002. № 3.
Added: Jan 7, 2015
Article
Фролов И.Э., Македонский С., Широв А. Проблемы прогнозирования. 2013. № 4. С. 38-54.
Added: Oct 15, 2014
Article
Балашова Е. Е., Суворов Н. В., Давидкова О. Проблемы прогнозирования. 2012. № 5. С. 13-28.

This article analyzes some of the most common approaches to the heterogeneity of capital assets in macroeconomic models. According to the analysis results, a general statistical model is formulated that pro- vides an opportunity to assess effectiveness coefficients on the basis of empirical data (resource intensity). The coefficients are differentiated according to new and basic technologies with respect to particular industries (eco- nomic activities) of the real sector of the domestic economy.

Added: Aug 15, 2013
Article
Коссов В. В. Проблемы прогнозирования. 2016. № 6. С. 65-75.

The article describes the construction of the forecast the bid price for oil for coming years. A strategic investor needs this kind of price to understand how much the consumer is willing to pay per ton of oil in the future. It is necessary for a correct evaluation of the investment.The article describes the construction of the forecast the bid price for oil for coming years. A strategic investor needs this kind of price to understand how much the consumer is willing to pay per ton of oil in the future. It is necessary for a correct evaluation of the investment.

Added: Jan 7, 2017
Article
Балашова Е.Е., Суворов Н. В., Давидкова О. и др. Проблемы прогнозирования. 2013. № 5. С. 15-33.
Added: Oct 22, 2014
Article
Калинин А. М., Самохвалов В. А. Проблемы прогнозирования. 2020. № 5 (182). С. 142-152.

The paper discusses the relationship between the total amount of budgetary funds spent on the agricultural sector and the dynamics of the industry in 2003-2018. Since the second half of the 2000s, government spending on agricultural support has been at a fairly high level, which is accompanied by a significant positive response from industry indicators. Based on the analysis, it has been found that government spending at the federal level significantly affects the creation of value added. The observed level of state intervention in the agricultural economy is sufficient to obtain the desired result of spending funds. However, this influence is less than could be supposed from the theoretically expected impact of the financial leverage of credit support. Regional costs, on the contrary, do not affect value added, i.e., the centralization of incentive policies in agriculture has proved to be justified.

Added: Oct 16, 2020