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

Authors

DOI:

https://doi.org/10.17059/ekon.reg.2020-3-5

Keywords:

energy intensity of GRP, economic growth, fuel and energy industry, capital intensity, economic model, energy model, development scenario, forecasting, energy strategy, targets

Abstract

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 - 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.

Author Biography

Vladimir A. Tsybatov, Samara State University of Economics

Dc. Sci. (Econ.), Professor of the Department of the Regional Economics and Management, Chief Research Associate, Samara State University of Economics; Scopus Author ID: 6508135389; https://orcid.org/0000- 0001-7076-2252 (234, Novo-Sadovaya St., Samara, 443029, Russian Federation; e-mail: tva82@yandex.ru).

References

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. Energosovet [Energy council], 2(44). Retrieved from: http://www.energosovet.ru/ bul_stat.php?idd=592 (Date of access: 02.04.2018) (In Russ.)

Bashmakov, A. D. (2011). Dynamics of the energy intensity of the gross regional product of Moscow. Energosberezhenie [Energy saving], 3. Retrieved from: https://www.abok.ru/for_spec/articles.php?nid=4890 (Date of access: 11.04.2018) (In Russ.)

Bashmakov, I. A. & Myshak, A. D. (2012). Russian accounting system to improve energy efficiency and energy savings. Center for Energy Efficiency (CENEf), 81. Retrieved from: http://www.cenef.ru/file/Indexes.pdf (Date of access: 12.04.2018) (In Russ.)

Volkonsky, V. A. & Kuzovkin, A. I. (2006). Energy intensity and energy efficiency of the Russian economy: an analysis and forecast. Problemy prognozirovaniya [Studies on Russian Economic Development], 1, 53–61. (In Russ.)

Kuzovkin, A. I. (2010). Forecast for GDP energy intensity in 2020: Russia and other developed countries. Problemy prognozirovaniya [Studies on Russian Economic Development], 3, 144–148. (In Russ.)

Overall Energy Efficiency Trends and Policies in the EU 27. (2009). ADEME Editions. Paris, 62.

Ang, B. W. & Liu, F. L. (2001). A new energy 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.

Beccali, M., Cellura, M. & Mistretta, M. (2003). Decision-making in energy planning. Application of the Electre method at regional level 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 decision 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: A Framework for Practical Policy Analysis. In: P. B. Dixon, D. W. Jorgenson (Eds.), The Handbook of Computable General Equilibrium Modeling (pp. 22–103). North-Holland, Amsterdam.

Adams, P. D. & Parmenter, B. R. (2013). Computable General Equilibrium Modeling of Environmental Issues in Australia: Economic Impacts of An Emission Trading Scheme. In: P. B. Dixon, D. W. Jorgenson (Eds.), The Handbook of Computable General Equilibrium Modeling (pp. 553–657). North-Holland, Amsterdam.

Jorgenson, D. W, Goettle, R. J, Ho, M. S. & Wilcoxen, P. J. (2013). Energy, the Environment and US Economic Growth. In: P. B. Dixon, D. W. Jorgenson (Eds.), The Handbook of Computable General Equilibrium Modeling (pp. 475–552). North-Holland, Amsterdam.

Bohlmann, H. R., Van Heerden, J. H, Dixon, P. B. & Rimmer, M. T. (2015). The Impact of the 2014 Platinum Mining Strike in South Africa: An Economy-Wide Analysis. Economic Modelling, 51, 403–411.

Veselov, F. V, Eliseeva, O. A., Kulagin, V. A., Malakhov, V. A., Mitrova, T. A. & Filippov, S. P. (2011). SCANER: Super complex for active navigation in energy research. Moscow: ERI RAS, 74. (In Russ.)

Makarov, A. A., Grigoryev, L. M. & Mitrova, T. A. (Eds). (2015). World energy markets evolution and its consequences for Russia. Moscow: ERI RAS, ACRF, 400. (In Russ.)

Khasaev, G. & Tsybatov, V. (2017). Tooling of Modeling and Strategic Planning of Energy-Efficient Development of the Regional Fuel and Energy Complex. Eurasian Journal of Analytical Chemistry, 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 a Region of the Russian Federation. Ekonomika regiona [Economy of region], 14(3), 941–954. DOI: https://doi.org/10.17059/2018–3-18 (In Russ.)

Tsybatov, V. A. (2015). Strategic planning of regional development: methods, models, information technololgy. Regionalnaya ekonomika: Teoriya i praktika [Regional Economics: Theory and Practice], 27, 36–53. (In Russ.)

Ivanov, Yu. N. (2012). System of National Accounts 2008. New York: European Commission, UNO, IMF, OECD, WB, 764. (In Russ.)

Novikov, D. A. & Chkhartishvili, A. G. (2002). Aktivnyy prognoz [Active forecast]. Moscow: IPU RAN, 101. (In Russ.)

Ross, J. (1997). Basics of the Russian financial crisis. Problemy prognozirovaniya [Studies on Russian Economic Development], 6, 49–67. (In Russ.)

Alekseenkova, M. V. (2001). Using the indicator of capital consumption rate for investment analysis. Problemy prognozirovaniya [Studies on Russian Economic Development], 5, 145–149. (In Russ.)

Khasaev, G. R. & Tsybatov, V. A. (2017). Capital development economy as the basis for economic growth. Vestnik Samarskogo gosudarstvennogo ekonomicheskogo universiteta [Vestnik of Samara State University of Economics], 1(147), 5–16. (In Russ.)

Grigoriev, L. M. & Kurdin, A. A. (2013). Economic growth and demand for energy. Ekonomicheskiy zhurnal VSHE [The HSE Economic journal], 3, 390–406. (In Russ.)

Published

30.09.2020

How to Cite

Tsybatov, V. A. (2020). Economic Growth as an Essential Factor for Reducing the Energy Intensity of the Gross Regional Product. Economy of Regions, 16(3), 739–753. https://doi.org/10.17059/ekon.reg.2020-3-5

Issue

Section

Articles