Reduction of Energy Intensity of Gross Regional Product: Opportunities and Limitations
Science Journal of Analytical Chemistry
Volume 6, Issue 6, November 2018, Pages: 46-58
Received: Dec. 3, 2018;
Accepted: Dec. 17, 2018;
Published: Jan. 16, 2019
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Gabibulla Rabadanovich Khasaev, Department of Regional Economics and Management, Samara State University of Economics, Samara, Russia
Vladimir Andreevich Tsybatov, Department of Regional Economics and Management, Samara State University of Economics, Samara, Russia
In the article, on the basis of model calculations, the possibilities and limitations of reducing the energy intensity of the Gross Regional Product (GRP) of the subject of the Russian Federation are investigated, provided that the region develops taking into account the requirements of the Energy Strategy of Russia for the period up to 2035. The calculations were carried out on interrelated models of the economy and energy of the Samara region, where scenarios for the region’s energy-efficient development were worked out, taking into account the targets of state programs for energy saving and energy efficiency development, declared in the Energy Strategy. As a result of research, it has been established that economic growth is the most important condition for reducing the energy intensity of GRP, and, the higher economic growth, the greater its contribution to the decrease in the energy intensity of GRP. It is also shown that a 40% reduction in GRP within the period of 2018–2035 is feasible only with the average annual economic growth of at least 5%, even with the absolute implementation of all sectoral programs on energy saving and energy efficiency development. Similar conclusions are true for Russian economy as a whole. If Russian economy develops at an average annual rate of less than 5%, then the main target indicator of the Energy Strategy - a decrease in the energy intensity of GDP by more than forty percent by 2035 compared to 2007 will be fundamentally unattainable.
Gabibulla Rabadanovich Khasaev,
Vladimir Andreevich Tsybatov,
Reduction of Energy Intensity of Gross Regional Product: Opportunities and Limitations, Science Journal of Analytical Chemistry.
Vol. 6, No. 6,
2018, pp. 46-58.
Energy strategy of Russia for the period up to 2030 / Order of the Government of the Russian Federation of November 13, 2009 No. 1715-p. Retrieved from https://minenergo.gov.ru/node/1026.
Bashmakov, I. A. & Myshak, A. D. (2016). Dynamics of energy consumption and energy intensity of GRP in the regions of Russia. Riding with a raised hood / Energy Council, 2 (44). [Electronic resource] URL: http://www.energosovet.ru/bul_stat.php?idd=592.
Bashmakov, A. D. (2011). Dynamics of the energy intensity of the gross regional product of Moscow / Energy Saving, 3. [Electronic resource] URL: https://www.abok.ru/for_spec/articles.php?nid=4890.
Bashmakov, I. A. & Myshak, A. D. (2012). Russian accounting system to improve energy efficiency and energy savings. Center for Energy Efficiency. CENEF, p. 81. http://www.cenef.ru/file/Indexes.pdf.
Overall Energy Efficiency Trends and Policies in the EU 27. ADEME Editions, Paris 2009, p. 62.
Ang, B. W. & Lue, F. L. (2001) A new decomposition method: perfect in decomposition and consistent in aggregation. Energy, 26, 537-548.
Greening, L. A. & Bernow, S. (2004). Design of coordinated energy and environmental policies: use of multi-criteria decision-making. Energy Policy, 32, 721-735.
Becalli, M., Cellura, M. & Mistretta, M. (2003). Decision-making in energy planning. The method of regional energy for the diffusion of renewable energy technology. Renewable Energy, 28, 2063-2087.
Jebaraj, S. & Iniyan, S. (2006). A review of energy models. Renewable and Sustainable Energy Reviews, 10, 281–311.
Borges, A. R. & Antunes, C. H. (2003). A fuzzy multiple objective support model for energy-economy planning. European Journal of Operational Research, 145, 304-316.
Dixon, P. B., Koopman, R. B. & Rimmer, M. T. (2013). The MONASH style of computable general equilibrium modeling. Handbook of computable general equilibrium modeling. North-Holland, Amsterdam, 2, 23-103.
Adams, P. D. & Parmenter, B. R. (2013). Emission trading scheme. Chapter 9 in the Handbook of Computable General Equilibrium Modeling. Amsterdam: Elsevier.
Jorgenson, D. W., Goettle, R. J., Ho, M. S. & Wilcoxen, P. J. (2013). Energy, the environment and the US economic growth. Chapter 8 in the Handbook of Computable General Equilibrium Modeling. Amsterdam: Elsevier.
SCANER (2011). Modeling and information complex. The Energy Research Institute of the Russian Academy of Sciences (ERI RAS), p. 72.
Evolution of global energy markets and its implications for Russia (2015). ed. A. A. Makarova, L. M. Grigorieva, T. A. Miter Moscow: ERI RAS-AC under the Government of the Russian Federation, p. 400.
Khasaev, G. & Tsybatov, V. (2017). Tooling of Modeling and Strategic Planning, 12 (Interdisciplinary Perspective on Sciences 7b), 1169–1182. DOI: https://doi.org/10.12973/ejac.2017.00242a.
Tsybatov, V. A. (2018). Strategic planning of energy efficient development of the Russian Federation // Economy of the region, 14 (3) 941-954. DOI: https://doi.org/10.17059/2018-3-18.
The project of the energy strategy of the Russian Federation for the period until 2035. (2017). Retrived from https://minenergo.gov.ru/node/1920 (Accessed date: 03.04.2017).
Tsybatov, V. A. (2015). Strategizing regional development: methods, models, information technologies / Regional Economics. Theory and Practice, 27 (July), 36 - 53.
All-Russian classifier of types of economic activity (OKVED 2). OK 029-2014 (NACE Rev. 2). [Electronic resource]. URL: http: //xn---2-dlci2ax1i.xn--p1ai/.
Novikov, D. A. & Chkhartishvili, A. G. (2002). Active forecast. Moscow: IPU RAS, p. 101.
System of National Accounts 2008 (2012). Edited by prof. Yu. N. Ivanov. New York: European Commission, UNO, IMF, OECD, WB, p. 764.
Federal State Statistics Service. (2014). Order of 4 April 2014 N 229. «On approval of official statistical methodology for preparation of the Fuel and Energy Balance of the Russian Federation». http://docs.cntd.ru/document/499089559.
Ministry of Energy of the Russian Federation. (2011). Order of 14 December 2011 № 600 «On approval of preparation procedure of the Fuel and Energy Balances of the constituent territorys of the Russian Federation, municipal establishments». http://docs.cntd.ru/document/902320537.
Forecast of the socio-economic development of the Russian Federation for the period up to 2024 (2018). Ministry of Economic Development. http://economy.gov.ru/minec/activity/sections/macro/201801101.
Ross, J. (1997). Fundamentals of the Russian financial crisis // Problems of Forecasting, 6, 49-67.
Khasaev, G. R. & Tsybatov, V. A. (2017). Capital-creating sector of the economy as the basis of economic growth // Bulletin of Samara State University of Economics, 1 (147), 5-16.
Grigoriev, L. M. & Kurdin, A. A. (2013). Economic growth and energy demand / Economic Journal of HSE, 3, 390-406.