Prospects for reducing the volume of the regional shadow real estate market of St. Petersburg in the context of digitalization of society

Abstract

Abstract The paper discusses the reduction of losses from the shadow economy in the city of St. Petersburg of the Russian Federation. 230 households representing different sectors of society were analyzed. Based on the analysis, an econometric model was developed, with the help of which it was possible to calculate the effectiveness of increasing the proposed non-linear tax rate, as well as the amount of losses that the city budget loses annually, due to the concealment of rental income. Based on the data obtained, it was concluded that with the help of advanced digital tools for tracking the availability of property and generating income from it, the city budget can receive a fairly significant part of the income that can be used in good state intentions. In addition, the paper presents an analytical structure of the state of households of state and municipal employees living and working in St. Petersburg, as well as deputies of various levels. The amount of income that the city does not receive due to the shadow real estate rental market is estimated at $ 4.4 million annually, which is a very significant indicator for Russia.