危机对地区预算收入影响的建模:车里雅宾斯克地区分析

O. Dranko, O. Loginovskiy, S. A. Prikazchikov
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引用次数: 0

摘要

新冠肺炎大流行引发的经济危机导致收入和税收大幅下降。我们考虑根据危机的深度对区域预算收入进行表达建模。该评估是针对俄罗斯的一个地区——车里雅宾斯克地区进行的。研究目的:建立基于现有统计数据的区域预算收入明示估算机制。建立了区域企业财务业绩预测综合模型,并对区域预算收入进行预测。材料和方法。结合企业财务预测模型,采用区域预算收入宏观经济指标模拟模型。运用大数据分析对区域企业的财务报表数据进行处理。结果。该模型将企业财务业绩的变化与区域预算收入动态联系起来。在情景假设的基础上,计算了区域企业财务业绩和税基的变化,并估算了其对区域预算的贡献。该模型可以对2019冠状病毒病大流行情况下的预算收入进行预测。结论。该方法结合了中观和微观经济学方法,将该地区的经济发展模拟为一个多层次的系统。所提出的模型具有普遍性,可用于考虑俄罗斯任何地区的发展。
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MODELING OF IMPACT OF THE CRISIS ON REGIONAL BUDGET REVENUES: ANALYSIS OF CHELYABINSK REGION
The economic crisis caused by the COVID-19 pandemic leads to a significant drop in incomes and tax payments. We consider express modeling of regional budget revenues depending on the depth of the crisis. The assessment is made for one of the Russian regions – the Chelyabinsk region. Purpose of the study. To build a mechanism based on available statistics for express estimation of the regional budget revenues. The comprehensive model for forecasting the region's enterprises' financial results, followed by a forecast of the regional budget revenues, was worked out. Materials and methods. Simulation models of macroeconomic indicators of the region's budget revenues are used in conjunction with enterprises' financial forecasting models. Big Data Analytics was applied to process financial statement data of the regional enterprises. Results. The model links the change in enterprises' financial results with the regional budget revenue dynamics. Based on scenario assumptions, the calculation of the change in financial results and tax bases of regional enterprises was made and the estimation of their contribution to the regional budget. The model allowed to form a forecast of revenues of the budget in the COVID-19 pandemic conditions. Conclusion. This approach combines meso- and microeconomics approaches and simulates the region's economic deve¬lopment as a multilevel system. The proposed model is universal and can be applied to consider the development of any Russian region.
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