Abstract—
The article considers methodological and practical issues of assessing the effects of measures aimed at reducing greenhouse gas emissions in the context of development and implementation of a strategy of Russia’s socio-economic development. The authors substantiate the relevance of investments in decarbonization measures, as well as the associated benefits (demand for the products of fund-creating industries) and costs (price increases and negative consumer reaction). The target scenario of low greenhouse gas emissions socio-economic development of Russia is based on a predictive and analytical toolkit based on the input/output method and on the database of the National Inventory of Anthropogenic Emissions. The target scenario combines an active economic policy with ambitious actions towards reducing net emissions: within the scenario, the average annual growth rate of Russia’s GDP is 2.6% and carbon neutrality is achieved by 2060. A more aggressive scenario of ensuring carbon neutrality by 2050 is characterized by significantly worse indicators of economic efficiency.
Similar content being viewed by others
Notes
Latest version of the inventory. http://www.igce.ru/performance/publishing/reports/.
The Ministry of Economic Development of Russia has prepared a draft Strategy for Long-Term Low Greenhouse Gas Emissions Development of Russia for the Period until 2050, 2020. https://economy.gov.ru/material/news/minekonomrazvitiya_-rossii_podgotovilo_proekt_strategii_dolgosrochnogo_razvitiya_rossii_s_nizkim_urovnem_vybrosov_parnikovyh_gazov_do_2050_goda_.html.
Draft of the Strategy for Low Greenhouse Gas Emissions Socio-Economic Development of the Russian Federation for the period until 2050 dated August 23, 2021. https://cenef-xxi.ru/articles/proekt-strategii-socialno-ekonomicheskogo-razvitiya-rossijskoj-federacii-s-nizkim-urovnem-vybrosov-parni-kovyh-gazov-do-2050-goda.
B. N. Porfiriev, A. A. Shirov, A. Yu. Kolpakov, and E. A. Edinak, “Opportunities and risks of climate regulation policy in Russia,” Vopr. Ekon, No. 1, 72–89 (2022). https://doi.org/10.32609/0042-8736-2022-1-72-89.
A. R. Sayapova and A. A. Shirov, Fundamentals of the Input/Output Method: University Textbook (MAKS, Moscow, 2019) [in Russian]. doi 10.29003/m801.978-5-317-06263-7.
Potential Growth Opportunities of the Russian Economy: Analysis and Forecast, Research Report of the Institute of Economic Forecasting of the Russian Academy of Sciences, Ed. by A. A. Shirov (Artik, Moscow, 2022). doi 10.47711/sr2-2022.
The classification corresponds to the Order of the Government of the Russian Federation no. 449 dated March 24, 2022 On Approval of the Rules for Assessing the Achievement of Targets for Reducing Greenhouse Gas Emissions….
Capital intensity is calculated as the ratio of total investments over the entire forecast period to the associated reduction in net GHG emissions by 2060.
REFERENCES
I. A. Bashmakov, “Strategy for low-carbon development of the Russian economy,” Voprosy Ekonomiki, No. 7, 51–74 (2020). https://doi.org/10.32609/0042-8736-2020-7-51-74
I. Gaida and I. Grushevenko, Scenarios of decarbonization in Russia, Energy Center of the Moscow School of Management SKOLKOVO, 2020. https://esg-library.mgimo.ru/publications/stsenarii-dekarbonizatsii-v-rossii/.
A. A. Romanovskaya, V. N. Korotkov, P. D. Polumieva, A. A. Trunov, V. Yu. Vertyankina, and R. T. Karaban, “Greenhouse gas fluxes and mitigation potential for managed lands in the Russian Federation,” Mitigation Adapt. Strategies Global Change 25, 661–687 (2020). https://doi.org/10.1007/s11027-019-09885-2
N. V. Lukina, S. A. Bartalev, D. V. Ershov, Yu. A. Kurbatova, I. N. Kurganova, V. N. Shanin, D. N. Kozlov, A. V. Gornov, M. A. Danilova, and D.N. Teben’kova, “Development of a national monitoring system for carbon pools and greenhouse gas fluxes in Russia’s terrestrial ecosystems,” Presentation at the Conference “Carbon in Terrestrial Ecosystems: Monitoring. Implementation of the VIP GZ “Unified National Monitoring System for Climatically Active Substances,” Moscow, Russia, 2023. https://youtu.be/DxZuNCmgn_Q.
D. J. Van de Ven, S. Mittal, A. Gambhir, et al., “A multimodel analysis of post-Glasgow climate targets and feasibility challenges,” Nat. Clim. Change 13, 570–578 (2023). https://doi.org/10.1038/s41558-023-01661-0
IEA, World Energy Outlook 2022. https://www.iea.org/reports/world-energy-outlook-2022.
McKinsey, The Net-Zero Transition: What It Would Cost, What It Could Bring, 2022. https://www.mckinsey.com/business-functions/sustainability/our-insights/the-net-zero-transition-what-it-would-cost-what-it-could-bring.
J. DeAngelo, I. Azevedo, J. Bistline, et al., “Energy systems in scenarios at net-zero CO2 emissions,” Nat. Commun. 12, 6096 (2021). https://doi.org/10.1038/s41467-021-26356-y
Y. Ou, C. Roney, J. Alsalam, et al., “Deep mitigation of CO2 and non-CO2 greenhouse gases toward 1.5°C and 2°C futures,” Nat. Commun. 12, 6245 (2021). https://doi.org/10.1038/s41467-021-26509-z
R. Way, P. Mealy, and J. D. Farmer, Estimating the Costs of Energy Transition Scenarios Using Probabilistic Forecasting Methods, INET Oxford Working Paper, No. 2021-01. https://www.inet.ox.ac.uk/files/energy_transition_cost_INET_working_paper_with_SI1.pdf.
Guide to Cost-Benefit Analysis of Investment Projects European Commission, 2014. https://ec.europa.eu/regional_policy/en/information/publications/guides/-2014/guide-to-cost-benefit-analysis-of-investment-projects-for-cohesion-policy-2014-2020.
P. Belli, J. Anderson, H. Barnum, J. Dixon, and J.-P. Tan, Handbook on Economic Analysis of Investment Operations (World Bank, Washington, DC, 1998). https://www.adaptation-undp.org/sites/default/files/-downloads/handbookea.pdf.
G. Ivanova and J. Rolfe, “Using input-output analysis to estimate the impact of a coal industry expansion on regional and local economies,” Impact Assess. Project Appraisal 29, 277–288 (2011). https://doi.org/10.3152/146155111X12959673795840
T. Gunton, C. Gunton, C. Joseph, and M. Pope, Evaluating Methods for Analyzing Economic Impacts in Environmental Assessment, School of Resource and Environmental Management, Simon Fraser University, 2020. https://www.sshrc-crsh.gc.ca/society-societe/community-communite/ifca-iac/evidence_briefs-donnees_probantes/environmental_and_impact_assessments-evaluations_environnementales_et_impacts/-gunton-eng.aspx.
Socio-Economic Impact Analysis of Alaska LNG Project, NERA Consult-ing, 2014. https://www.nera.com/content/dam/nera/publications/-2014/PUB_Alaska_LNG_0614.pdf.
K. Jarosinski, “Cost-effectiveness analysis (CEA) of public investment projects,” Eur. Res. Stud. J. 24, 769–786 (2021). https://doi.org/10.35808/ersj/2500
Economic and Environmental Principles and Guidelines for Water and Related Land Resources Implementation Studies, U.S. Water Resource Council, Washington, DC, 1983. https://catalog.hathitrust.org/Record/011334836.
Ministry of Agriculture and Lands Government of BC. Guidelines for Socio-Economic and Environmental Assessment (SEEA). Land Use Planning and Resource Management Planning, 2007. https://www2.gov.bc.ca/assets/gov/farming-natural-resources-and-industry/natural-resource-use/land-water-use/crown-land/land-use-plans-and-objectives/policies-guides/archive/seea_guidelines_lup_rmp.pdf.
L. Wilson, “Riding the resource roller coaster: Understanding socioeconomic differences between mining communities,” Rural Sociol. 69, 261–281 (2009). https://doi.org/10.1526/003601104323087606
M. Grassini, “Rowing along the computable general equilibrium modelling mainstream,” Stud. Russ. Econ. Dev. 20, 134–146, (2009). https://doi.org/10.1134/S1075700709020026
T. W. Petersen, An Introduction to CGE Modeling and an Illustrative Application to Eastern European Integration with the EU, DREAM Working Paper Series, Danish Rational Economic Agents Model, DREAM, No. 199701, 1997.
J. Heckman and L. Hansen, “The empirical foundations of calibration,” J. Econ. Perspect. 10, 87–104 (1996). https://doi.org/10.1257/jep.10.1.87
R. R. McKitrick, “The econometric critique of computable general equilibrium modeling: The role of functional forms,” Econ. Modell. 15, 543–573 (1998).
Funding
The study was supported under a grant in the form of subsidies from the federal budget for scientific research and development as part of the Critical Innovation Project of National Significance “Unified National Monitoring System for Climatically Active Substances” (agreement between the Ministry of Economic Development of the Russian Federation and the Institute of Economic Forecasting of the Russian Academy of Sciences on provision of grants from the federal budget in the form of subsidies in accordance with item 4 of Article 78.1 of the Budget Code of the Russian Federation no. 139-15-2023-003 dated March 1, 2023).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare that they have no conflicts of interest.
Additional information
Translated by A. Ovchinnikova
Rights and permissions
About this article
Cite this article
Shirov, A.A., Kolpakov, A.Y. Target Scenario of Low Greenhouse Gas Emissions Socio-Economic Development of Russia for the Period until 2060. Stud. Russ. Econ. Dev. 34, 758–768 (2023). https://doi.org/10.1134/S1075700723060151
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1075700723060151