The essence of the Russian shadow economy in modern conditions

The article is devoted to the study of the shadow economy of Russia in modern conditions. The volume of the world's largest shadow economies is considered. The main factors determining the scale of the shadow economy in Russia are identified, and statistics on informal employment are analyzed.

The Impact of National Economic Development on the Shadow Economy

A country’s competitiveness depends primarily on its economic development which in turn is affected by a number of factors. Some of these, such as investment, favorable business conditions, legal environment, etc., promote economic development, while others, such as low labor productivity, insufficient staff qualification that fails to meet the requirements of the labor market, etc., slow down the pace of economic development. The latter category describes the phenomenon of the shadow economy (SE). Research into shadow economies is dominated by the analysis of the local impact factors. Nevertheless, the results of such analyses do not reveal the general patterns of the shadow economy, without the knowledge of which it is difficult to develop effective preventive measures. The basic determinants of the shadow economy must first and foremost reflect national economic development, as these particular determinants have the most significant impact on the size of the phenomenon of the shadow economy. National economic development can be expressed by employing various indicators, but recently it has most commonly been expressed by GDP per capita. GDP reflects national competitiveness, integrates a number of domestic factors, and is easily accessible and publicly available in national and international statistical sources. In addition, this indicator is calculated by employing a unified methodology, which makes it universal, allowing the comparison of countries in different situations. As presented in this article, the analysis of the relationship between economic development and the size of the shadow economy allows the division of all the EU member states into characteristic groups by the level of their economic development as well as size of the country’s SE. Our research attempts to reveal the regularity of the above-mentioned relationship: the higher the level of national economic development, the lower the size of the shadow economy.

Shadow economies and tax evasion: The case of the Czech Republic, Poland and Hungary

This paper examines the drivers and the size of the shadow economies of the Czech Republic, Hungary and Poland. It also investigates the tax losses associated with these shadow economic activities in all three countries. The Multiple Indicators and Multiple Causes (MIMIC) model is applied and uses time series data covering the period 1990–2019. The key findings show that the sizes of the shadow economies of the Czech Republic, Hungary and Poland are 10.44, 11.18 and 20.47% respectively. The results also show that the average size of the shadow economies between 1990–2019 was 14.92% in the Czech Republic, 18.72% in Hungary and 22.85% in Poland. The Czech Republic loses 3.13% of tax revenue from goods and services and 2.83% from incomes and profits as a result of the shadow economy, while Hungary loses 5.05% of tax revenue from goods and services and 1.68% from incomes and profits. Poland loses 5.25% of tax revenue from goods and services and 4.34% from incomes and profits.

Dimensions of Culture and the Size of the Shadow Economy in the Member States of the European Union

This article discusses connections between dimensions of culture and the size of the shadow economy in the European Union member states. Critical perusal of the literature led to the development of the theoretical ground, while statistical analysis revealed connections between the shadow economy and the dimensions of culture. The research findings suggest a strong stochastic relation of the culture in a given country and the size of its shadow economy. Countries with a high level of complacency, distrust of the authorities, collectivism and aversion to uncertainty are characterized by shadow economies of a substantial size.

Shadow Exchanges along the New Silk Roads

Long before China promulgated the official One Belt One Road initiatives, vast networks of cross-border exchanges already existed across Asia and Eurasia. The dynamics of such trade and resource flows have largely been outside state control, and are pushed to the realm of the shadow economy. The official initiative is a state-driven attempt to enhance the orderly flow of resources across countries along the Belt and Road, hence extending the reach of the states to the shadow economies. This volume offers a bottom-up view of the transborder informal exchanges across Asia and Eurasia, and analyses its clash and mesh with the state-orchestrated Belt and Road cooperation. By undertaking a comparative study of country cases along the new silk roads, the book underlines the intended and unintended consequences of such competing routes of connectivity on the socio-economic conditions of local communities.

Formal versus informal Chinese presence

The turbulent history of the Western Balkans has led to both diverse economic development in the region and complex relationships with China, particularly for ex-Yugoslav countries. Examining the shadow economies associated with local Chinese communities in the region is therefore of particular interest. The aim of this chapter is to analyse the complex interplay of official policies and unofficial rules, regional tensions and global interests, and the local socio-economic problems and international aspirations of countries in the region in terms of their position in the so-called Belt and Road Zone.

Shadow Economies and the Success of Economic Sanctions: Explaining Why Democratic Targets Are Disadvantaged

The sanctions literature has identified numerous mechanisms by which the adverse economic effects of sanctions impact their success rate. This body of work, however, has mostly focused on targets’ formal economies and has thus overlooked whether sanctions-induced changes in shadow (also known as informal) economic activity influence sanctions’ effectiveness. In this article, we develop two rival arguments that can potentially explain how shadow sector growth affects sanctions’ outcomes. Our grievance mitigation theory argues that increased shadow sector activity decreases the political pressure on leaders to capitulate to sanctions, while our disadvantaged democracy theory asserts that shadow economies create budgetary resource demands and deficits that disproportionately hamper democratic targets’ ability to resist sanctions. We assess the empirical merits of the two theories using time-series cross-national data for 1950–2005. We find robust evidence that the growth of shadow economies increases the likelihood of sanctions’ success in democratic targets while not significantly affecting the success rate of sanctions against non-democratic regimes. Our findings shed new light on the processes by which the economic disruptions and hardships created by sanctions translate into pressure on targeted regimes to concede to sanctions.

Explaining the Shadow Economy in Europe

This paper examines the drivers, and reestimates the size of shadow economies in Europe, with a focus on the emerging economies, and recommends policies to increase formality. The size of shadow economies declined across Europe in recent years but remains significant, especially in Eastern Europe. In the emerging European economies, the key determinants of shadow economy size are regulatory quality, government effectiveness, and human capital. The paper argues that a comprehensive package of reforms, focused on country-specific drivers, is needed to successfully combat the shadow economy. The menu of policies most relevant for Europe’s emerging economies include: reducing regulatory and administrative burdens, promoting transparency and improving government effectiveness, as well as improving tax compliance, automating procedures, and promoting electronic payments.