Preview

The world of new economy

Advanced search

Scenario approach to the assessment of development prospects of the Russian regions

https://doi.org/10.26794/2220-6469-2022-16-1-81-91

Abstract

The article describes the features of building and assessment of spatial development scenarios in long-term forecasts. The author used the scenario approach for qualitative and quantitative assessment of alternative strategies for regional development within the framework of the macroeconomic forecast for the development of the Russian economy. Further, the author analyzed the experience of developing spatial scenarios for the EU countries and Russia. Next, the longterm regional trends are presented, which, due to the high inertia of space, will determine spatial development in the future. The author also describes modern problems that significantly impact the choice of strategies for the regions. Prospects for spatial development the author assessed in the framework of three forecast scenarios. For two options of the macroeconomic forecast, the author calculated quantitative estimates of the spatial development parameters characterizing the scenarios. Relevant calculations the author performed using macroeconomic and interregional forecasting and analytical models. Finally, the author showed the advantages of the scenario of balanced growth from the standpoint of implementing national goals of social and economic development.

About the Author

N. N. Mikheeva
Institute for Economic Forecasting RAS
Russian Federation

Nadezhda N. Mikheeva — D. Sc. in Economics, professor

Moscow



References

1. Zubarevich N.V. Opportunities and limitations of quantitative assessment of factors of the Russian regions’ economic development. Zhurnal Novoi ekonomicheskoi assotsiatsii = Journal of the New Economic Association. 2020;(2):158–167. (In Russ.). DOI: 10.31737/2221–2264–2020–46–2–8

2. Kuznetsova O.V. Typology of factors governing the social-economic development of Russian regions. Vestnik Moskovskogo Universiteta. Seriya 5: Geografiya = Moscow University Bulletin. Series 5: Geography. 2014;(2):3–8. (In Russ.).

3. Mikheeva N.N.Growth factors of Russian regions: Adaptation to new conditions. Region: ekonomika i sotsiologiya = Region: Economics and Sociology. 2017;(4):151–176. (In Russ.). DOI: 10.15372/REG20170407

4. Krugman P.R. First nature, second nature, and metropolitan location. Journal of Regional Science. 1993;33(2):129– 144. DOI: 10.1111/j.1467–9787.1993.tb00217.x

5. Capello R. A forecasting territorial model of regional growth: The MASST model. The Annals of Regional Science. 2007;41(4):753–787. DOI: 10.1007/s00168–007–0146–2

6. Capello R., Fratesi U. Modelling regional growth: An advanced MASST model. Spatial Economic Analysis. 2012;7(3):293–318. DOI: 10.1080/17421772.2012.694143

7. Mikheeva N.N. Estimation of spatial development scenarios of the Russian economy till 2030. Nauchnye trudy: Institut narodnokhozyaistvennogo prognozirovaniya RAN = Scientific Articles: Institute of Economic Forecasting of the Russian Academy of Sciences. 2017;15:405–423. (In Russ.).

8. Capello R., Caragliu A., Fratesi U. Global trends and the economic crisis: Future alternative European growth strategies. Technological Forecasting and Social Change. 2015;98:120–136. DOI: 10.1016/J.TECHFORE.2015.06.005

9. Capello R., Caragliu A., Fratesi U. Modeling regional growth between competitiveness and austerity measures: The MASST3 model. International Regional Science Review. 2017;40(1):38–74. DOI: 10.1177/0160017614543850

10. Klepach A.N., Mikheeva N.N. Faster growth of Siberian economy: Realities and opportunities in the megaproject “Russian Ark”. EKO: vserossiiskii ekonomicheskii zhurnal = ECO Journal. 2020;(8):66–86. (In Russ.). DOI: 10.30680/ ECO0131–7652–2020–8–66–86

11. Kotov A.V. Options for the spatial development of Russia in the context of interregional interactions. Studies on Russian Economic Development. 2021:32(3):318–324. DOI: 10.1134/S 1075700721030072 (In Russ.: Problemy prognozirovaniya. 2021;(3):135–144. DOI: 10.47711/0868–6351–186–135–144).

12. Capello R., Caragliu A.Regional growth and disparities in a post-COVID Europe: A new normality scenario. Journal of Regional Science. 2021;61(4):710–727. DOI: 10.1111/jors.12542

13. Kolomak E.A. Economic consequences of COVID 19 for Russia’s regions. EKO: vserossiiskii ekonomicheskii zhurnal = ECO Journal. 2020;(12):143–153. (In Russ.). DOI: 10.30680/ECO0131–7652–2020–12–143–153

14. Zubarevich N.V., Safronov S.G.Regions of Russia in the acute phase of the COVID crisis: Differences from previous economic crises of the 2000s. Regional’nye issledovaniya. 2020;(2):4–17. (In Russ.). DOI: 10.5922/1994–5280–2020– 2–1

15. Aganbegyan A.G., Klepach A.N., Porfiryev B.N., Uzyakov M.N., Shirov A.A. Post-pandemic recovery: The Russian economy and the transition to sustainable social and economic development. Studies on Russian Economic Development. 2020;31(3):599–605. DOI: 10.1134/S 1075700720060027 (In Russ.: Problemy prognozirovaniya. 2020;(6):18–26. DOI: 10.47711/0868–6351–183–18–26).

16. Porfiriev B., Shirov A., Kolpakov A. Low-carbon development strategy: Prospects for the Russian economy. Mirovaya ekonomika i mezhdunarodnye otnosheniya = World Economy and International Relations. 2020;64(9):15–25. (In Russ.). DOI: 10.20542/0131–2227–2020–64–9–15–25

17. Porfiryev B.N. Effective action strategy to cope with climate change and its impact on Russia’s economy. Studies on Russian Economic Development. 2019;30(3):235–244. DOI: 10.1134/S 1075700719030134 (In Russ.: Problemy prognozirovaniya. 2019;(3):3–16.).

18. Shirov A.A.Assessment of interregional economic interactions using statistics of freight railway transportation. Studies on Russian Economic Development. 2020;31(2):153–161. DOI: 10.1134/S1075700720020112 (In Russ.: Problemy prognozirovaniya. 2020;(2):36–47).


Review

For citations:


Mikheeva N.N. Scenario approach to the assessment of development prospects of the Russian regions. The world of new economy. 2022;16(1):81-91. https://doi.org/10.26794/2220-6469-2022-16-1-81-91

Views: 621


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2220-6469 (Print)
ISSN 2220-7872 (Online)