4 research outputs found

    Economic Growth as an Essential Factor for Reducing the Energy Intensity of the Gross Regional Product

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    Creating regional programs for energy efficient development, policymakers rely on the targets of the Federal Energy Strategy, planning to reduce the energy intensity of gross regional product (GRP) by 40 % or more until 2035. Therefore, it is necessary to examine the validity of the set targets, as well as the limitations occur in the process of GRP energy intensity reduction. Based on the model calculations, the study investigates the possibilities and limitations of reducing GRP energy intensity in the Russian Federation in the period 2018 β€” 2035 on the example of the Samara region. The interrelated economic and energy models of the Samara region allowed calculating and testing the scenarios of regional energy efficient development. The analysis considered the targets of state energy saving and energy efficiency programmes, declared in the draft Energy Strategy of the Russian Federation until 2035. The research established that economic growth is essential for reducing GRP energy intensity. The increase in economic growth means its greater contribution to GRP energy intensity reduction. Economic growth reduces the energy intensity of GRP due to several reasons. They include savings from the increase in the production of goods and services; advanced growth of GRP economy compared to the growth of capital-intensive fuel and energy industry; growing lag between the amount of energy-consuming equipment of the population and the value of GRP. The example of the Samara region demonstrates that it is possible to reduce GRP energy intensity by 40 % in the period 2018–2035 only with an average annual economic growth of at least 5 %, including the implementation of all industrial energy saving and energy efficiency programmes stated in the Energy Strategy. The same conclusions are valid for the Russian economy in general. If the average annual development rate of the Russian economy is below 4 %-5 %, it will be impossible to reach the main target of the Energy Strategy of the Russian Federation until 2035, which is the reduction of energy intensity of the gross domestic product (GDP) in 2035 by 34 % compared to 2015. Public authorities can use the study results when developing strategic planning documents.Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Ρ‡ΠΈΠΊΠΈ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… стратСгий ΠΏΡ€ΠΈ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ энСргоэффСктивного развития ΠΎΡ€ΠΈΠ΅Π½Ρ‚ΠΈΡ€ΡƒΡŽΡ‚ΡΡ Π½Π° Ρ†Π΅Π»Π΅Π²Ρ‹Π΅ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ энСргСтичСской стратСгии, планируя сниТСниС энСргоСмкости Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° (Π’Π ΠŸ) Π½Π° 40 % ΠΈ Π±ΠΎΠ»Π΅Π΅ Π΄ΠΎ 2035 Π³. Π’ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‚ вопросы, насколько обоснованы эти Ρ†Π΅Π»Π΅Π²Ρ‹Π΅ ΠΎΡ€ΠΈΠ΅Π½Ρ‚ΠΈΡ€Ρ‹ ΠΈ ΠΊΠ°ΠΊΠΈΠ΅ ограничСния Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‚ Π½Π° ΠΏΡƒΡ‚ΠΈ сниТСния энСргоСмкости Π’Π ΠŸ. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ Π½Π° Π±Π°Π·Π΅ ΠΌΠΎΠ΄Π΅Π»ΡŒΠ½Ρ‹Ρ… расчСтов исслСдованы возмоТности ΠΈ ограничСния сниТСния энСргоСмкости Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° (Π’Π ΠŸ) ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚Π° Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ Π½Π° Π³ΠΎΡ€ΠΈΠ·ΠΎΠ½Ρ‚Π΅ 2018–2035 Π³Π³. Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Бамарской области. РасчСты ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡŒ Π½Π° взаимосвязанных модСлях экономики ΠΈ энСргСтики Бамарской области, Π½Π° ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΎΡ‚Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°Π»ΠΈΡΡŒ сцСнарии энСргоэффСктивного развития Ρ€Π΅Π³ΠΈΠΎΠ½Π° с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ Ρ†Π΅Π»Π΅Π²Ρ‹Ρ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ государствСнных ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ ΠΏΠΎ ΡΠ½Π΅Ρ€Π³ΠΎΡΠ±Π΅Ρ€Π΅ΠΆΠ΅Π½ΠΈΡŽ ΠΈ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡŽ энСргоэффСктивности, Π΄Π΅ΠΊΠ»Π°Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π² ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π΅ ЭнСргСтичСской стратСгии России Π½Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ Π΄ΠΎ 2035 Π³. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ исслСдований установлСно, Ρ‡Ρ‚ΠΎ экономичСский рост являСтся ваТнСйшим условиСм сниТСния ΡƒΠ΄Π΅Π»ΡŒΠ½ΠΎΠΉ энСргоСмкости Π’Π ΠŸ, ΠΏΡ€ΠΈΡ‡Π΅ΠΌ Ρ‡Π΅ΠΌ Π²Ρ‹ΡˆΠ΅ экономичСский рост, Ρ‚Π΅ΠΌ большС Π΅Π³ΠΎ Π²ΠΊΠ»Π°Π΄ Π² сниТСниС ΡƒΠ΄Π΅Π»ΡŒΠ½ΠΎΠΉ энСргоСмкости Π’Π ΠŸ. Показано, Ρ‡Ρ‚ΠΎ экономичСский рост сниТаСт ΡƒΠ΄Π΅Π»ΡŒΠ½ΡƒΡŽ ΡΠ½Π΅Ρ€Π³ΠΎΠ΅ΠΌΠΊΠΎΡΡ‚ΡŒ Π’Π ΠŸ Π·Π° счСт экономии ΠΎΡ‚ растущСго ΠΌΠ°ΡΡˆΡ‚Π°Π±Π° производства Ρ‚ΠΎΠ²Π°Ρ€ΠΎΠ² ΠΈ услуг, ΠΎΠΏΠ΅Ρ€Π΅ΠΆΠ°ΡŽΡ‰Π΅Π³ΠΎ роста Π’Π ΠŸ экономики ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ростом ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΎΠ΅ΠΌΠΊΠΈΡ… отраслСй ВЭК, Π½Π°Ρ€Π°ΡΡ‚Π°ΡŽΡ‰Π΅Π³ΠΎ отставания объСма ΡΠ½Π΅Ρ€Π³ΠΎΠΏΠΎΡ‚Ρ€Π΅Π±Π»ΡΡŽΡ‰Π΅Π³ΠΎ имущСства насСлСния ΠΎΡ‚ объСма Π’Π ΠŸ. На ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Бамарской области ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, Ρ‡Ρ‚ΠΎ сниТСниС энСргоСмкости Π’Π ΠŸ Π½Π° 40 % Π½Π° Π³ΠΎΡ€ΠΈΠ·ΠΎΠ½Ρ‚Π΅ 2018–2035 Π³Π³. осущСствимо Ρ‚ΠΎΠ»ΡŒΠΊΠΎ ΠΏΡ€ΠΈ срСднСгодовом экономичСском ростС Π½Π΅ ΠΌΠ΅Π½Π΅Π΅ 5 % Π΄Π°ΠΆΠ΅ ΠΏΡ€ΠΈ Π°Π±ΡΠΎΠ»ΡŽΡ‚Π½ΠΎΠΌ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠΈ всСх отраслСвых ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ ΠΏΠΎ ΡΠ½Π΅Ρ€Π³ΠΎΡΠ±Π΅Ρ€Π΅ΠΆΠ΅Π½ΠΈΡŽ ΠΈ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡŽ энСргСтичСской эффСктивности, заявлСнных Π² ЭнСргСтичСской стратСгии. АналогичныС Π²Ρ‹Π²ΠΎΠ΄Ρ‹ справСдливы ΠΈ для российской экономики Π² Ρ†Π΅Π»ΠΎΠΌ. Если экономика России Π±ΡƒΠ΄Π΅Ρ‚ Ρ€Π°Π·Π²ΠΈΠ²Π°Ρ‚ΡŒΡΡ срСднСгодовыми Ρ‚Π΅ΠΌΠΏΠ°ΠΌΠΈ Π½ΠΈΠΆΠ΅ 4–5 %, Ρ‚ΠΎ основной Ρ†Π΅Π»Π΅Π²ΠΎΠΉ ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€ ЭнСргСтичСской стратСгии России Π½Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ Π΄ΠΎ 2035 Π³. β€” сниТСниС энСргоСмкости Π’Π’ΠŸ ΠΊ 2035 Π³. Π½Π° 34 % ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ 2015 Π³. Π±ΡƒΠ΄Π΅Ρ‚ ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΈΠ°Π»ΡŒΠ½ΠΎ нСдостиТимо. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΠΎΠ»Π΅Π·Π½Ρ‹ ΠΎΡ€Π³Π°Π½Π°ΠΌ государствСнной власти ΠΏΡ€ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚ΠΎΠ² стратСгичСского планирования.The article has been prepared in the framework of the state order of the Ministry of Education and Science of the Russian Federation β„– 26.4131.2017/PCh, the project β€œDevelopment of methods and information technologies of macroeconomic modelling and strategic planning of energy efficient development of energy industry of the territorial subject of the Russian Federation”.Π‘Ρ‚Π°Ρ‚ΡŒΡ ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²Π»Π΅Π½Π° Π² Ρ€Π°ΠΌΠΊΠ°Ρ… государствСнного задания ΠœΠΈΠ½ΠΈΡΡ‚Π΅Ρ€ΡΡ‚Π²Π° образования ΠΈ Π½Π°ΡƒΠΊΠΈ Π Π€ β„– 26.4131.2017/ПЧ, ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ Β«Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΈ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ макроэкономичСского модСлирования ΠΈ стратСгичСского планирования энСргоэффСктивного развития ВЭК ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚Π° Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈΒ»

    Modelling of regulatory factor and managerial impact assessment in the regional economy sectors: a case-study of the Kaliningrad region (Russia)

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    This article discusses the methodology of developing tools for assessing regulatory factors and managerial impacts on the regional economy and individual sectors and businesses. The potential of projection models is investigated, including balance models, convergence of regional and sectoral projection and compiling reliable and representative data sets capable of describing the current economic situation. An attempt was made to develop a series of models for several regional economies; to that end, the modelling of managerial and regulatory impact assessment was used in combination with the well-known value chain approach. In the interests of effective public administration, one of the requirements is to create sectoral model formats compatible with the regional projection models. Results of pilot modelling managerial and regulatory impacts on Kaliningrad region’s economies are presented through examples of agribusiness, transport, industry, tourism and recreation. Implementation of regulatory impact modelling in the framework of the suggested approach is proved for other regions. The main advantage of the developed models for the regional management is their ability to reduce uncertainty in decision-making due to obtaining estimates of the impact of the decisions on the changing situation and the conditions for the development of sectors and industries

    Strategic planning of energy-efficient development of a region of the Russian federation

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    When developing regional strategies, the effectiveness of energy solutions must be linked to the overall economic efficiency of regional development, since the targets for energy-efficient development may conflict with the objectives of the regional economy as a whole. In the article, the task of energy-efficient development of a region of the Russian Federation is reduced to the search for the agreed scenarios of the development of fuel and energy complex (FEC) and the regional economy. These scenarios allow achieving a maximum approximation to the stated goals for the set of energy and economic indicators. I have developed a model of the FEC of a region as a dynamic CGE-model. It is developed as a part of the general model of the socio-economic activity of a region. This model represents the interrelated processes of production, processing, transportation and the use of all types of fuel and energy resources in a region. I propose the forecasting methodology of balanced development of the economy and fuel and energy complex. This methodology provides iterative harmonization of forecasts for consumption and production of energy based on regional fuel and energy balance (FEB). At the same time, the FEB developed within the framework of the FEC model is a part of the overall product-sector balance of the economy, which plays the role of the β€œbalance of balances”. It allows to simulate the interaction of FEC and the rest of the economy through inter-balance relations. Based on the developed methods and models, I have implemented the information technology of situation forecasting and strategic planning in the form of forecasting and analytical tool. This tool simulates the scenarios of energy-efficient development of the economy of the Samara region. As an example, the article presents the assessment of energy efficiency for an option of Samara region development according to the target scenario of Russia's Energy Strategy for the period up to 2035. Β© 2018 Economy of Region. All rights reserved.Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° динамичСская многоотраслСвая модСль Ρ‚ΠΎΠΏΠ»ΠΈΠ²Π½ΠΎ-энСргСтичСского комплСкса Π² составС ΠΎΠ±Ρ‰Π΅ΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСской Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Ρ€Π΅Π³ΠΈΠΎΠ½Π°, которая Ρ„ΠΎΡ€ΠΌΠΈΡ€ΡƒΠ΅Ρ‚ взаимосвязанныС процСссы производства, ΠΏΠ΅Ρ€Π΅Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ, транспортировки ΠΈ использования всСх Π²ΠΈΠ΄ΠΎΠ² Ρ‚ΠΎΠΏΠ»ΠΈΠ²Π½ΠΎ-энСргСтичСских рСсурсов Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π΅. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° мСтодология прогнозирования сбалансированного развития экономики ΠΈ Ρ‚ΠΎΠΏΠ»ΠΈΠ²Π½ΠΎ-энСргСтичСского комплСкса. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° энСргоэффСктивного развития экономики Бамарской области.The article has been prepared in the framework of the state order of the Ministry of Education and Science of the Russian Federation No 26.4131.2017/PCh, Project Development of methods and information technologies of macroeconomic modelling and strategi
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