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Present scientific article evaluates the formation of sustainable development, its main features and goals. This theme aims to examine the evolution of sustainable development goals and its fundamental values. The objectives of this article are: to describe the dynamism of economic growth, to characterize the sustainable development goals on the global, the European Union (EU) and Lithuanian levels; to evaluate fundamental values of different sustainable development stages. The dynamism of economic processes is evaluated as modernization of the economic activity on the country. Sustainable development goals are analyzed as the way of modernization of economic development

Present scientific article evaluates the formation of sustainable development, its main features and goals. This theme aims to examine the evolution of sustainable development goals and its fundamental values. The objectives of this article are: to describe the dynamism of economic growth, to characterize the sustainable development goals on the global, the European Union (EU) and Lithuanian levels; to evaluate fundamental values of different sustainable development stages. The dynamism of economic processes is evaluated as modernization of the economic activity on the country. Sustainable development goals are analyzed as the way of modernization of economic development

Present scientific article evaluates the formation of sustainable development, its main features and goals. This theme aims to examine the evolution of sustainable development goals and its fundamental values. The objectives of this article are: to describe the dynamism of economic growth, to characterize the sustainable development goals on the global, the European Union (EU) and Lithuanian levels; to evaluate fundamental values of different sustainable development stages. The dynamism of economic processes is evaluated as modernization of the economic activity on the country. Sustainable development goals are analyzed as the way of modernization of economic development

Present scientific article evaluates the formation of sustainable development, its main features and goals. This theme aims to examine the evolution of sustainable development goals and its fundamental values. The objectives of this article are: to describe the dynamism of economic growth, to characterize the sustainable development goals on the global, the European Union (EU) and Lithuanian levels; to evaluate fundamental values of different sustainable development stages. The dynamism of economic processes is evaluated as modernization of the economic activity on the country. Sustainable development goals are analyzed as the way of modernization of economic development

Abstract
In this article the relationship between shadow economy and its' determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

In this article the relationship between shadow economy and its' determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

In this article the relationship between shadow economy and its' determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

In this article the relationship between shadow economy and its' determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

In this article the relationship between shadow economy and its' determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

In this article the relationship between shadow economy and its' determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

In this article the relationship between shadow economy and its' determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

The authors of the article analyze the effect of corruption on foreign direct investments in most corrupt European Union countries. Corruption in the context of the analysis is understood as an act where government officials enter into an agreement with a foreign investors against the interest of society. It takes place when illegal payments for government are made. Such payments acts as an additional tax on investments in foreign country, thus decreasing attractiveness of investment for foreign investors. There are various types of corruption, but most common classification includegrandcorruption,pettycorruption and public sector corruption. However, this article focuses on the effect ofgrandcorruption, because it directly affectsFDIinflows in particular country. Results of the research made by the authors shows that corruption has adverse effect onFDIinflows, however particular corrupt actions may postively effectFDIinflows. In order to determine corruption effect onFDIin corrupt EU countries statistical analysis of 2000–2014 period has been implemented and conceptual model of effect onFDIcreated.

The authors of the article analyze the effect of corruption on foreign direct investments in most corrupt European Union countries. Corruption in the context of the analysis is understood as an act where government officials enter into an agreement with a foreign investors against the interest of society. It takes place when illegal payments for government are made. Such payments acts as an additional tax on investments in foreign country, thus decreasing attractiveness of investment for foreign investors. There are various types of corruption, but most common classification include grand corruption, petty corruption and public sector corruption. However, this article focuses on the effect of grand corruption, because it directly affects FDI inflows in particular country. Results of the research made by the authors shows that corruption has adverse effect on FDI inflows, however particular corrupt actions may postively effect FDI inflows. In order to determine corruption effect on FDI in corrupt EU countries statistical analysis of 2000–2014 period has been implemented and conceptual model of effect on FDI created.

The authors of the article analyze the effect of corruption on foreign direct investments in most corrupt European Union countries. Corruption in the context of the analysis is understood as an act where government officials enter into an agreement with a foreign investors against the interest of society. It takes place when illegal payments for government are made. Such payments acts as an additional tax on investments in foreign country, thus decreasing attractiveness of investment for foreign investors. There are various types of corruption, but most common classification includegrandcorruption,pettycorruption and public sector corruption. However, this article focuses on the effect ofgrandcorruption, because it directly affectsFDIinflows in particular country. Results of the research made by the authors shows that corruption has adverse effect onFDIinflows, however particular corrupt actions may postively effectFDIinflows. In order to determine corruption effect onFDIin corrupt EU countries statistical analysis of 2000–2014 period has been implemented and conceptual model of effect onFDIcreated.