Factors and Indicators of Russian Shadow Economy: An Empirical Analysis of Regional Data

S. Arzhenovskiy, Y. Orlova, E. V. Semerikova, E. E. Sidorova
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Abstract

The purpose of the research is to assess factors influencing the rescaling of the shadow economy in the Russian Federation (on the example of certain regions). The analysis was carried out using mathematical and statistical methods according to regional statistics for 2013–2019. In particular, a model of multiple indicators and factors (MIMIC) was built. It adapted to the panel data structure. Variables characterizing the tax burden, government regulation and the state of the labor market were used as factors. As indicators of the shadow economy – monetary variables and characteristics of the formal economy.It is shown that in the conditions of economic difficulties there was a «compression» of the scale of the shadow economy in certain regions. According to the authors, a significant role in reducing the shadow component in the regional economy over the period under review was played by the improvement of the tax administration mechanism in the process of forming regional and local budgets (personal income tax, property taxes) as well as coordination of interdepartmental interaction in order to reliably determine the size of the taxable base. The positive role of preferential taxation regimes, which can be established by regional authorities, was proved. A significant impact on the scale of shadow activity of the structure of the regional economy and conditions in the labor market was discovered: a high share of the extractive industry and an increase in wages in the region compared to the average Russian level create incentives for participation in the formal economy and reducing the scale of the shadow economy.The modeling results confirmed the relevance of shadow economy indicators: the larger size of the regional shadow economy entails less participation in the labor force and an increase in cash turnover.The conclusions obtained from a new angle focus on the task of improving the investment climate, reducing pressure on entrepreneurship, and supporting small and medium-sized businesses.
俄罗斯影子经济的因素与指标:区域数据的实证分析
研究的目的是评估影响俄罗斯联邦影子经济规模重新扩大的因素(以某些地区为例)。根据2013-2019年区域统计数据,采用数理统计方法进行分析。特别建立了多指标多因素模型(MIMIC)。它适应于面板数据结构。表征税负、政府监管和劳动力市场状况的变量被用作因素。作为影子经济的指标——货币变量与正规经济的特征。研究表明,在经济困难的条件下,某些地区的影子经济规模出现了“压缩”。作者认为,在本报告所述期间,在形成区域和地方预算(个人所得税、财产税)过程中完善税收管理机制,以及协调部门间的互动,以可靠地确定应税基数的规模,在减少区域经济中的影子成分方面发挥了重要作用。可以由区域当局建立的优惠税收制度的积极作用得到了证明。研究发现,区域经济结构和劳动力市场条件对影子经济活动的规模产生了重大影响:与俄罗斯平均水平相比,该地区采掘业的高份额和工资的增长为参与正规经济和减少影子经济的规模创造了激励。建模结果证实了影子经济指标的相关性:区域影子经济规模越大,劳动力参与率越低,现金周转率越高。从新的角度得出的结论集中在改善投资环境,减轻创业压力,支持中小企业的任务上。
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