Search results

This study aims to identify the factors which influence the change in the volume of shadow economy in the countries of Europe to explain its growth or reduction through the change in the identified factors. This would help to determine which factors are worth impacting to reduce the volume of shadow economy in the countries of Europe.

This work sets out an econometric analysis. For the purpose of making research calculations, MS Excel software package has been chosen. It has been decided to use linear multiple regression and several auxiliary tools allowing research accuracy to be increased.

Final model has shown that the levels of corruption and inflation have a positive effect on the volume of shadow economy. Also, with the low level of significance it has been proved that foreign direct investments have a negative impact on the volume of shadow economy. From the hypotheses, it has also been ascertained that the rule of law and gross domestic product influence the volume of shadow economy negatively. Therefore, the results of this study indicate that the magnitude of shadow economy can be controlled by increasing the efficiency of the rule of law and the economy’s growth.

Because of the limited data on such an indicator as the shadow economy, in this work, this study used data for only one year – 2015, which may reduce the objectivity and reliability of the results obtained. But because of the fact that 38 European countries were taken and, as a result, the selection was larger, objectivity is preserved. As a result, three hypotheses were confirmed.

From the point of view of practical implications, this study should help determine the number of parameters, which affect the volume of the shadow economy in a particular country in Europe. Understanding of such correlations will help to regulate the volume of the shadow economy, which will mostly affect the overall development of the country.

From a point of view of social implications, this study will help to solve some problems in Europe countries. Because this study is focused on finding parameters that affect the shadow economy, it is possible to reduce the volume of shadow economy. This changes can lead to a number of social improvements, such as a reduction of crime, a reduction of poverty, a reduction of unemployment, an increase of revenues to the country's treasury and a general increase of living standards.

Within the framework of this work, unique empirical research has been undertaken. This work helps to establish the factors which are the most influential in respect of the volume of shadow economy and which graphically indicate the following: what precisely needs to be prioritized to overcome one of the crucial socioeconomic problems for the majority of European countries.

Energy poverty is a global phenomenon, but its prevalence is enormous in most African countries, with a potential impact on quality of life. This study aims to investigate the impact of energy poverty on the shadow economy.

The study uses panel data from 45 countries in Africa over a period of 1996–2018. Using panel cointegrating regression and panel vector auto-regression model in the generalized method of moments technique.

This study provides that energy poverty deepens the size of the shadow economy in Africa. It also documents that there is a bidirectional causality between shadow economy and energy poverty. Therefore, the two variables can predict each other.

The study suggests that lack of access to clean and modern energy services contributes to the depth of the shadow economy in Africa. African authorities are advised to strengthen rural and urban electrification initiatives by providing adequate energy infrastructure so as to reduce the level of energy poverty in the region. To ensure energy sustainability delivery, the study proposes that the creation of national and local capacities would be the most effective manner to guarantee energy accessibility and affordability. Also, priorities should be given to the local capital mobilization and energy subsidies for the energy poor. Energy literacy may also contribute to the sustainability and the usage of modern energy sources in Africa.

Previous studies reveal that income inequality contributes to the large size of shadow economy in developing economies. However, none of these studies analyzed the role of energy poverty and its implications for underground economic operations. Inadequate access to modern energy sources is likely to deepen the prevalence of informality in developing nations. Based on this, this study provides fresh evidence on the implications of energy deprivation on the shadow economy in Africa using a heterogeneous panel econometric framework. The study contributes to the literature by advocating that the provision of affordable modern energy sources for rural and urban settlements, and the creation of good energy infrastructure for the firms in the formal economy would not only improve the quality of life but also important to discourage underground economic operations in developing economies.

The present research aims at identifying the latent factors that are driving the rise of the shadow economy in Palestine, assesses its magnitude from 1998 to 2021 and investigates the influence that its size has on the financial sustainability of Palestine's public budget.

The researchers employed the multi-indicator multi-causes (MIMIC) model to estimate the size of the shadow economy and investigate its effect on the financial sustainability of the public budget. Economic factors such as direct taxes, indirect taxes, government welfare, government spending and unemployment were considered causal variables, while indicators of financial sustainability included budget deficit, public debt and gross domestic product (GDP). The shadow economy served as an intermediary variable.

Based on the findings, the researchers recommend regulating and formalizing legitimate activities within the shadow economy. Additionally, they suggest promoting investment projects to reduce unemployment rates, lowering taxes on essential goods and consumer items and providing support to local producers in Palestine. These measures aim at addressing the challenges posed by the shadow economy and fostering economic stability.

The study reveals that the average size of the shadow economy in Palestine between 1998 and 2021 was 43.80%, fluctuating within the range of 39.92%–46.30%. It further establishes that an increase in direct and indirect taxes as well as unemployment contributes to the expansion of the shadow economy. Conversely, government welfare and spending exert a diminishing effect. Moreover, the study finds that the rise of the shadow economy correlates with an increase in public debt, budget deficit and GDP, indicating a negative impact on the financial sustainability of the public budget.

This research examines how shadow economy affects foreign direct investment (FDI).

The study utilizes a panel dataset including 124 nations between 1997 and 2015. Information on shadow economy, FDI and macro-economic characteristics is obtained from the United Nations Conference on Trade and Development (UNCTAD) and World Bank database. Various econometric methods are employed, such as the panel ordinary least squares (OLS) with fixed-effect estimator and the two-step system generalized method of moments estimation.

The findings of the study illustrate that shadow economy negatively influences total FDI inflows, and this adverse impact is mainly driven by greenfield investments – a component of FDI. Moreover, the authors provide evidence that the shadow economy has more devastating influences on FDI inflows in countries with higher corruption levels and fewer land resources.

Overall, this research suggests an important policy implication that the shadow economy should be controlled more strictly since it harms the FDI inflows, especially greenfield investment.

This research is among the first attempt of evaluating the effect of shadow economy on different FDI types. Furthermore, it examines how the shadow economy–FDI inflows nexus is changed when considering factors including corruption and land resource.

The purpose of this examine the impact of income inequality and shadow economy on environmental degradation given the growing income inequality, shadow economy and ecological degradation in developing countries. Thus, this study is motivated to offer empirical insight into how income inequality and shadow economy influence the environment in African countries.

Data from 29 countries in Africa between 2000 and 2017 were used, while the novel method of moments quantile regression of Machado and Silva (2019) and Dumitrescu and Hurlin (D-H) (2012) granger causality is used as the estimation techniques.

The results established the presence of cross-sectional dependence and slope heterogeneity in the panel, while Westerlund panel cointegration confirmed the long-run cointegration among the variables. The results from the quantile regression suggest that income inequality increases environmental degradation from the 5th to the 30th quantiles, while from the 70th quantiles, income inequality reduces ecological degradation. The shadow economy negatively influences environmental degradation across the quantiles, strengthening environmental quality. Per capita income (economic growth) and financial development positively impact environmental degradation throughout the quantiles. However, urbanization reduces environmental degradation from 60th to 95th quantiles. The D-H causality established a two-way relationship between income inequality and environmental degradation, while one-way from shadow economy, per capita income and urbanization to environmental degradation were established.

This study provides fresh insights into the nexus between shadow economy and environmental quality in the presence of higher levels of income inequality for the case of African region. The study applies quantile analysis via moment proposed by Machado and Silva (2019). This technique shows that the impact of income inequality and shadow economy on environmental degradation is heterogeneous across the quantiles of ecological footprints in Africa.

A report of the International Labour Organization on undeclared work in Greece refers to failures of formal institutions which contribute to the asymmetry between state and civic morality. The particular asymmetry is explored through the context of tax morale, which is one of the major determinants of the shadow economy. Although several papers have been published on the Greek shadow economy, tax morale in Greece has not been adequately explored. This research aims to investigate the effect of the economic downturn on the factors determining the level of tax morale through primary data from a European Union-funded research project on the Greek shadow economy. The findings provide policy orientations toward transferring activities from the shadow to the official economy, a goal which is part of Europe 2020 strategy.

The study's objective is to examine the relevance of globalization in affecting the size of the shadow economy in selected African nations.

To do this, the authors employ the KOF globalization index and implement both static and dynamic common correlated mean group estimators on a panel of 24 African nations from 1995–2017. This technique accommodates the issue of cross-sectional dependence, sample bias and endogenous regressors. Panel threshold analysis is also conducted to establish the nonlinearity between globalization and the shadow economy. To examine the causality between the variables, the study employs Dumitrescu and Hurlin's panel causality test.

The results show that globalization reduces the size of the shadow economy. The results of the nonlinear analysis suggest a U-shaped relationship. Overall globalization has a threshold impact of 48.837%, economic globalization has 45.615% and political globalization has 66.661% while social globalization has a threshold value of 35.744%. The results of the panel causality show that there is a bidirectional causality between the two variables.

The results suggest that the government and other relevant authorities need to introduce capital controls and other policy measures to moderate the degree of social, political and cultural diffusion. Appropriate policies should be formulated to monitor the extent of African economic openness to other continents to maximize the gains from globalization.

Apart from being the first study in the African region that evaluates the relevance of globalization in controlling the shadow economy, it also analyzes the dynamics and threshold analysis between the two variables using advanced panel econometrics which makes the study unique. The study suggests that globalization tools are useful for affecting the size of the shadow economy in Africa. This study provides fresh empirical evidence on the impact of globalization on the shadow economy in the case of Africa.

The purpose of this paper is to analyze the relationship between macroeconomic fundamentals, intuitional quality and shadow economy.

By utilizing data setspanning from 2004 to 2015 of 141 countries, the study has employed advanced panel technique, i.e. Generalized Method of Moments (GMM) method. In order to check consistency of the results, the study also used fixed effect and random effect for robustness.

The study finds that for the full sample, institutional quality has negative effect on shadow economy while macroeconomic fundaments effect shadow economy differently. After splitting the sample into Organization of Islamic Cooperation (OIC) and non-OIC countries subsamples, it observes same influence of macroeconomic fundaments and institutional quality on shadow economy, but the effect of macroeconomic fundaments and institutional quality on shadow economy is less observed for OIC countries. The results are found consistence by using different estimation methods.

The current literature has focused on estimating the size of shadow economy and literature linking the macroeconomic fundaments, institutional quality and shadow economy is scarce. Additionally, this study provides the evidence for cross comparison between OIC economies and non-OIC economies.

Given the increasing relevance of emerging economies in the global economy and the neoclassical argument that technological progress is the main driver of economic growth, the purpose of this paper is to investigate the under-researched role of informal institutions on the likelihood that individuals will enter into technology entrepreneurship in emerging markets.

Since the authors combined individual-level and country-level observations, data were analyzed employing hierarchical linear modeling methods and random-effect logistic regressions to estimate the influence of country-level factors on the likelihood of individuals’ entry into techno-entrepreneurship. The data set comprised 10,280 observations for 18 emerging countries during the 2002-2008 period.

The selected informal institutions relate to techno-entrepreneurship as follows: the size of the shadow economy has a U-shaped relationship; ethnic diversity is positively associated; and ethnic polarization is negatively associated, though the latter is not significant.

The authors did not theorize on cross-level mechanisms through which these informal institutions could influence individual-level attitudes, nor did the authors assess the role of such institutions on general entrepreneurship. However, this paper provides a base for more fine-grained studies.

The authors disseminate novel insights into the particularities of emerging economies since all informal institutions studied here have been negatively associated with the overall economic experiences of developing and least developed countries. In addition, the authors provide a unique contribution by identifying a potential U-shaped relationship between the size of the shadow economy and the likelihood of individuals engaging in techno-entrepreneurship.