外部经济限制背景下俄罗斯地区发展的压力测试

I. V. Danilova, A. V. Rezepin, N. V. Pravdina
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引用次数: 0

摘要

目的:开发2022-2023年外部经济约束背景下俄罗斯地区外部约束影响压力测试模型。方法:以经济动力学理论、区域经济与空间发展理论、BANI世界概念为基础进行研究;本研究的方法论基础是基于机器学习方法-人工神经网络的情景方法来形成压力测试模型和确定预期影响的算法。结果:对研究课题的科学出版物的研究、对冲击事件的分析、冲击后后果(2006-2022年),可以证实测试和区分俄罗斯地区对外部约束的反应的可行性,应用“抗冲击”发展的标准,对经济空间进行分类,并确定具有“抗冲击”和“非抗冲击”反应的领土。开发了区域压力测试模型,确定了工业和部门(67.6%的重要性)和空间(32.4%)稳定因素,确定了2022-2023年限制的脆弱性区域和具有“非抗冲击”型反应潜力的工业区。结论及相关性:区域对外部经济冲击的反应(衰退期的持续时间和恢复增长的强度)是由区域的生产总量和空间特征决定的。研究结果对区域经济理论的发展具有重要意义;它们可由俄罗斯联邦的联邦和地区行政当局使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stress testing of the development of Russian regions in the context of external economic restrictions
Purpose: is to develop the model for stress testing of the impact of external constraints of Russian regions in the context of foreign economic constraints 2022–2023. Methods: the research is based on the theory of economic dynamics, regional economy and spatial development, the concept of the BANI world; the methodological basis of the study is a scenario approach to the formation of the stress testing model and the algorithm for determining the expected impact based on the machine learning method – the artificial neural network. Results: the study of scientific publications on the research topic, analysis of shock events, post-shock consequences (2006–2022) made it possible to substantiate feasibility of testing and differentiating the response of Russian regions to external constraints, applying the criteria of “shock-resistant” development, classifying economic space and identifying the territory with “shock-resistant” and “non-shockresistant”reactions. The model of regions stress testing has been developed, industrial and sectoral (67.6% importance) and spatial (32.4%) stabilization factors have been identified, areas of vulnerability to the restrictions of 2022-2023 and industrial regions with the potential for “non-shock-resistant” type of reaction have been identified. Conclusions and Relevanc e: the reaction of regions to external economic shocks (the duration of the decline period and the intensity of recovery growth) is determined by the totality of the production and spatial characteristics of the regions. The results of the study are important for the development of the theory of regional economy; they can be used byfederal and regional executive authorities of the Russian Federation.
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