Suchergebnisse

In recent decades European regions have faced new social and economic development challenges. Not only globalization but also European integration processes make influence on regional development and lead to regional convergence. Then a region's competitive advantage is decreased or even lost. Seeking to help less advanced regions solve their problems, promote regional development and strengthen regional competitiveness uniqueness of regions should be identified, analysed and evaluated. Regional competitiveness can be strengthened by promoting regional specialization and investments and more effectively using local resources. Local cultural, historical and natural resources identified as unique and used in economic activity will contribute to the creation of value added and new jobs and give other positive results. Regional uniqueness plays an important role, it can be a success factor for regional development and create competitive advantage. In other words, it is important to identify, evaluate and develop the strengths and core skills of a region. The assessment of regional uniqueness will help use EU support more effectively and efficiently and create value added and new jobs. The paper deals with assessment of the regional uniqueness of Lithuania and opportunities for regions to develop and create value added and new jobs. The object of this research is assessment of regional uniqueness seeking to effectively and efficiently use it and facilitate social and economic development of Lithuania's regions. Regional development is important at state, regional and EU levels. More effective use of regional strengths, core skills and unique local resources will help create competitive advantage. The aim of the research is to propose methods for the evaluation of regional uniqueness (unique cultural, historical and natural resources) and regions' opportunities to create value added and new jobs. That could be used for regional policy formation. The research draws on the theory of economic assessment of regional uniqueness. Research methods: the multi-criteria evaluation technique, the SAW method, econometric analysis of panel data, regression analysis, systematic and comparative analysis of statistical data, synthesis, analogy, contextual analysis, logical comparison. Indicators that can be used as a regional uniqueness assessment and regions' classification instrument were identified. The findings can be used for regional policy formation, effective and efficient use of unique resources, value added and new jobs creation. Regional uniqueness assessment is important at several levels: as a new supplementary methodological instrument for regional policy prioritisation (at EU level), as additional criteria attracting EU support for value added and new jobs creation (at national level), as an instrument for setting regions' strategic development directions (at regional level). While developing Lithuania's regional policy and seeking to create added value and new jobs it is recommended to evaluate regional resources (cultural, historical, natural) and classify regions. Research into the issue should be continued, the concept of regional uniqueness developed, regional economic development analysed, local resources evaluated, regional specialization strengthened, investment in regions promoted, regional competitiveness enhanced.

In recent decades European regions have faced new social and economic development challenges. Not only globalization but also European integration processes make influence on regional development and lead to regional convergence. Then a region's competitive advantage is decreased or even lost. Seeking to help less advanced regions solve their problems, promote regional development and strengthen regional competitiveness uniqueness of regions should be identified, analysed and evaluated. Regional competitiveness can be strengthened by promoting regional specialization and investments and more effectively using local resources. Local cultural, historical and natural resources identified as unique and used in economic activity will contribute to the creation of value added and new jobs and give other positive results. Regional uniqueness plays an important role, it can be a success factor for regional development and create competitive advantage. In other words, it is important to identify, evaluate and develop the strengths and core skills of a region. The assessment of regional uniqueness will help use EU support more effectively and efficiently and create value added and new jobs. The paper deals with assessment of the regional uniqueness of Lithuania and opportunities for regions to develop and create value added and new jobs. The object of this research is assessment of regional uniqueness seeking to effectively and efficiently use it and facilitate social and economic development of Lithuania's regions. Regional development is important at state, regional and EU levels. More effective use of regional strengths, core skills and unique local resources will help create competitive advantage. The aim of the research is to propose methods for the evaluation of regional uniqueness (unique cultural, historical and natural resources) and regions' opportunities to create value added and new jobs. That could be used for regional policy formation. The research draws on the theory of economic assessment of regional uniqueness. Research methods: the multi-criteria evaluation technique, the SAW method, econometric analysis of panel data, regression analysis, systematic and comparative analysis of statistical data, synthesis, analogy, contextual analysis, logical comparison. Indicators that can be used as a regional uniqueness assessment and regions' classification instrument were identified. The findings can be used for regional policy formation, effective and efficient use of unique resources, value added and new jobs creation. Regional uniqueness assessment is important at several levels: as a new supplementary methodological instrument for regional policy prioritisation (at EU level), as additional criteria attracting EU support for value added and new jobs creation (at national level), as an instrument for setting regions' strategic development directions (at regional level). While developing Lithuania's regional policy and seeking to create added value and new jobs it is recommended to evaluate regional resources (cultural, historical, natural) and classify regions. Research into the issue should be continued, the concept of regional uniqueness developed, regional economic development analysed, local resources evaluated, regional specialization strengthened, investment in regions promoted, regional competitiveness enhanced.

The paper examines the relationship between economic growth and the use of renewable energy sources in the European Union in the period 2009-2019. With the rapid development of their economies, more and more countries are moving towards more efficient energy measures that also address the challenges of climate change - renewable energy sources. However, it is not clear what impact these resources have on economic growth, so this paper will analyze their impact on the key economic indicator of GDP. The paper performs statistical analysis and econometric models, which allow to evaluate the existing relationship between the selected indicators. Renewable energy sources have an indirect impact on GDP growth, so the relationship between the energy indicators, the changes of which are determined by renewable energy sources, and GDP and the dynamics of the selected period is analyzed first. Then, an econometric model of ADL is analyzed and developed in detail, which will allow to estimate the relationship between the countries with the highest and lowest GDP and the volume of renewable energy sources, as well as the popularity of certain RES.

Lithuania became European and World market share, arose the problem to evaluate not only internal but also external factors, when forecasting agricultural production, consumption and foreign trade. This can be done using econometric models, which allow consider the European Union (EU) and World balance sheets components forecasts and project developments of the Lithuanian agriculture. Objective of the study - to prepare forecast for the agricultural and food sector up to the year 2020. Tasks of the study: 1. To analyze the models used for the agricultural and food sector projections and select the most suitable in respect to the conditions of the country; 2. To identify indicators that affect the Lithuanian agriculture and food sector development; 3. To analyze and project the EU and national support influence for the developments of different agricultural and food sector branches; 4. To propose and assess forecasts of the main crop and livestock production balance sheets. Statistical data analysis, experts' interview and econometric sectoral modeline are used in the research study. The analysis is performed for main agricultural sectors using economic and manufacturing indicators for 2000‐2008. The first section consists of review of agricultural and food sectors forecasting models and research study methodology preparation. Lithuanian and EU macroeconomic assumptions, which have influence on agricultural and food sector development, are proposed in the second chapter. The third chapter consists of analysis and evaluation of current EU and national support influence on agricultural and food sector development. There are prognoses of crop (grains, rapes, sugar beet, potatoes) and animal (meat milk) sectors balance sheets up to the year 2020 in the fourth and fifth chapters.

Lithuania became European and World market share, arose the problem to evaluate not only internal but also external factors, when forecasting agricultural production, consumption and foreign trade. This can be done using econometric models, which allow consider the European Union (EU) and World balance sheets components forecasts and project developments of the Lithuanian agriculture. Objective of the study - to prepare forecast for the agricultural and food sector up to the year 2020. Tasks of the study: 1. To analyze the models used for the agricultural and food sector projections and select the most suitable in respect to the conditions of the country; 2. To identify indicators that affect the Lithuanian agriculture and food sector development; 3. To analyze and project the EU and national support influence for the developments of different agricultural and food sector branches; 4. To propose and assess forecasts of the main crop and livestock production balance sheets. Statistical data analysis, experts' interview and econometric sectoral modeline are used in the research study. The analysis is performed for main agricultural sectors using economic and manufacturing indicators for 2000‐2008. The first section consists of review of agricultural and food sectors forecasting models and research study methodology preparation. Lithuanian and EU macroeconomic assumptions, which have influence on agricultural and food sector development, are proposed in the second chapter. The third chapter consists of analysis and evaluation of current EU and national support influence on agricultural and food sector development. There are prognoses of crop (grains, rapes, sugar beet, potatoes) and animal (meat milk) sectors balance sheets up to the year 2020 in the fourth and fifth chapters.

Lithuania became European and World market share, arose the problem to evaluate not only internal but also external factors, when forecasting agricultural production, consumption and foreign trade. This can be done using econometric models, which allow consider the European Union (EU) and World balance sheets components forecasts and project developments of the Lithuanian agriculture. Objective of the study - to prepare forecast for the agricultural and food sector up to the year 2020. Tasks of the study: 1. To analyze the models used for the agricultural and food sector projections and select the most suitable in respect to the conditions of the country; 2. To identify indicators that affect the Lithuanian agriculture and food sector development; 3. To analyze and project the EU and national support influence for the developments of different agricultural and food sector branches; 4. To propose and assess forecasts of the main crop and livestock production balance sheets. Statistical data analysis, experts' interview and econometric sectoral modeline are used in the research study. The analysis is performed for main agricultural sectors using economic and manufacturing indicators for 2000‐2008. The first section consists of review of agricultural and food sectors forecasting models and research study methodology preparation. Lithuanian and EU macroeconomic assumptions, which have influence on agricultural and food sector development, are proposed in the second chapter. The third chapter consists of analysis and evaluation of current EU and national support influence on agricultural and food sector development. There are prognoses of crop (grains, rapes, sugar beet, potatoes) and animal (meat milk) sectors balance sheets up to the year 2020 in the fourth and fifth chapters.

Lithuania became European and World market share, arose the problem to evaluate not only internal but also external factors, when forecasting agricultural production, consumption and foreign trade. This can be done using econometric models, which allow consider the European Union (EU) and World balance sheets components forecasts and project developments of the Lithuanian agriculture. Objective of the study - to prepare forecast for the agricultural and food sector up to the year 2020. Tasks of the study: 1. To analyze the models used for the agricultural and food sector projections and select the most suitable in respect to the conditions of the country; 2. To identify indicators that affect the Lithuanian agriculture and food sector development; 3. To analyze and project the EU and national support influence for the developments of different agricultural and food sector branches; 4. To propose and assess forecasts of the main crop and livestock production balance sheets. Statistical data analysis, experts' interview and econometric sectoral modeline are used in the research study. The analysis is performed for main agricultural sectors using economic and manufacturing indicators for 2000‐2008. The first section consists of review of agricultural and food sectors forecasting models and research study methodology preparation. Lithuanian and EU macroeconomic assumptions, which have influence on agricultural and food sector development, are proposed in the second chapter. The third chapter consists of analysis and evaluation of current EU and national support influence on agricultural and food sector development. There are prognoses of crop (grains, rapes, sugar beet, potatoes) and animal (meat milk) sectors balance sheets up to the year 2020 in the fourth and fifth chapters.

Many separate economics after world economic crises are looking to help their economies improve faster through export. Recently some accusations between main world exporters to USA have risen for possible exchange rate manipulation, with intention to increase export. According to results of the paper, these accusations are reasonable. In the first part of the paper the theory analysis on export and exchange rate is presented. Also there is a review of other researches of exchange rate influence on export and possible manipulation of same exchange rate. In the second part of the paper hypothesis of the research, data and econometric model is presented. In the last part of the study there are results of the research. According to the results, Mexico's and Canada's exports to USA have elasticity of exchange rate. Also Granger causality of exchange rate on separate exports of Mexico, Canada, Japan, China and European Union has been found. These results justify the accusations and tension between mentioned exporters

Many separate economics after world economic crises are looking to help their economies improve faster through export. Recently some accusations between main world exporters to USA have risen for possible exchange rate manipulation, with intention to increase export. According to results of the paper, these accusations are reasonable. In the first part of the paper the theory analysis on export and exchange rate is presented. Also there is a review of other researches of exchange rate influence on export and possible manipulation of same exchange rate. In the second part of the paper hypothesis of the research, data and econometric model is presented. In the last part of the study there are results of the research. According to the results, Mexico's and Canada's exports to USA have elasticity of exchange rate. Also Granger causality of exchange rate on separate exports of Mexico, Canada, Japan, China and European Union has been found. These results justify the accusations and tension between mentioned exporters

Many separate economics after world economic crises are looking to help their economies improve faster through export. Recently some accusations between main world exporters to USA have risen for possible exchange rate manipulation, with intention to increase export. According to results of the paper, these accusations are reasonable. In the first part of the paper the theory analysis on export and exchange rate is presented. Also there is a review of other researches of exchange rate influence on export and possible manipulation of same exchange rate. In the second part of the paper hypothesis of the research, data and econometric model is presented. In the last part of the study there are results of the research. According to the results, Mexico's and Canada's exports to USA have elasticity of exchange rate. Also Granger causality of exchange rate on separate exports of Mexico, Canada, Japan, China and European Union has been found. These results justify the accusations and tension between mentioned exporters

Governments can selectively allocate aid to sectors or companies, on the one hand, to compensate for market failures, in order to improve social welfare. On the other hand, such aid may normally lead to distortions of competition in the market or adversely affect international trade. The ambiguous impact of state aid raises the question what overall impact state aid has on the country's economy. It is noticeable that the extent of state aid is unevenly distributed in the EU countries. Compared to the EU average, the countries of Central and Eastern EU provide more state aid in terms of the share of state aid expenditure in GDP. In assessing the importance of state aid today, and given the ambiguous impact of state aid and aid trends in Central and Eastern EU countries, it is important to analyze the impact of state aid on the economies of Central and Eastern EU countries and its adequacy. The aim of this work is to assess the impact of state aid on the economies of Central and Eastern EU countries. Tasks set for the implementation of the aim of the work: to perform the analysis of the problem of the impact of state aid on the economies of the EU countries; to analyze the areas of expression of the impact of state aid on the country's economy; to develop an empirical model for the study of the impact of state aid on the economies of the Central and Eastern EU countries; to carry out an assessment of the impact of state aid on the economies of the Central and Eastern EU countries on the basis of the developed model. A detailed theoretical analysis of the impact of state aid on the economies of the Central and Eastern EU countries has shown that there is still no clear position on the impact of state aid on the country's economy. It can be argued that the impact assessment depends on the situation of individual countries, the objectives of the State aid granted, etc. Based on the results of theoretical analysis and the availability of statistical data, the impact of state aid on the economies of Central and Eastern EU countries was examined, including the independent variable – total state aid expenditure in Central and Eastern EU countries and dependent variables: exports, employment, GDP per capita, business investment. A research model consisting of two parts was developed: statistical and graphical analysis, based on the results of which the research hypotheses were raised, and econometric modeling, based on the results of which the hypotheses were confirmed or rejected. Econometric modeling was performed based on correlation analysis, Granger causality test, ARDL, ECM, PTR, PNR models, multiplier estimation. A study of the impact of state aid spending on macroeconomic indicators in Central and Eastern EU countries has shown that state aid does not promote economic growth and development in many Central and Eastern EU countries. In some cases, state aid contributes to the growth of the employment rate in the country (in the Czech Republic, with a 1 percentage point increase in state 6 aid expenditure over the long term, the change in employment increases by almost 9 percentage points; in the short run, with a 1 percentage point increase in state aid spending, the change in employment increases by 5 percentage points). On the other hand, in some cases state aid even has a negative impact on economic growth (in Hungary, in the long run a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by almost 0.3 percentage points; in the short run, a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by 0.12 percentage points). The impact of state aid is observed in the countries of the Central and Eastern EU, where state aid expenditure is highest – Hungary and the Czech Republic. Assessing the impact of state aid at the macroeconomic level, it can be concluded that for many Central and Eastern EU countries, state aid is not an appropriate tool to promote economic growth and can be seen as an inefficient way to achieve this goal. On the other hand, in order to assess the overall impact of state aid on the economy, the impact at sectoral and market levels should be analyzed as well as social indicators should be included in the analysis

Governments can selectively allocate aid to sectors or companies, on the one hand, to compensate for market failures, in order to improve social welfare. On the other hand, such aid may normally lead to distortions of competition in the market or adversely affect international trade. The ambiguous impact of state aid raises the question what overall impact state aid has on the country's economy. It is noticeable that the extent of state aid is unevenly distributed in the EU countries. Compared to the EU average, the countries of Central and Eastern EU provide more state aid in terms of the share of state aid expenditure in GDP. In assessing the importance of state aid today, and given the ambiguous impact of state aid and aid trends in Central and Eastern EU countries, it is important to analyze the impact of state aid on the economies of Central and Eastern EU countries and its adequacy. The aim of this work is to assess the impact of state aid on the economies of Central and Eastern EU countries. Tasks set for the implementation of the aim of the work: to perform the analysis of the problem of the impact of state aid on the economies of the EU countries; to analyze the areas of expression of the impact of state aid on the country's economy; to develop an empirical model for the study of the impact of state aid on the economies of the Central and Eastern EU countries; to carry out an assessment of the impact of state aid on the economies of the Central and Eastern EU countries on the basis of the developed model. A detailed theoretical analysis of the impact of state aid on the economies of the Central and Eastern EU countries has shown that there is still no clear position on the impact of state aid on the country's economy. It can be argued that the impact assessment depends on the situation of individual countries, the objectives of the State aid granted, etc. Based on the results of theoretical analysis and the availability of statistical data, the impact of state aid on the economies of Central and Eastern EU countries was examined, including the independent variable – total state aid expenditure in Central and Eastern EU countries and dependent variables: exports, employment, GDP per capita, business investment. A research model consisting of two parts was developed: statistical and graphical analysis, based on the results of which the research hypotheses were raised, and econometric modeling, based on the results of which the hypotheses were confirmed or rejected. Econometric modeling was performed based on correlation analysis, Granger causality test, ARDL, ECM, PTR, PNR models, multiplier estimation. A study of the impact of state aid spending on macroeconomic indicators in Central and Eastern EU countries has shown that state aid does not promote economic growth and development in many Central and Eastern EU countries. In some cases, state aid contributes to the growth of the employment rate in the country (in the Czech Republic, with a 1 percentage point increase in state 6 aid expenditure over the long term, the change in employment increases by almost 9 percentage points; in the short run, with a 1 percentage point increase in state aid spending, the change in employment increases by 5 percentage points). On the other hand, in some cases state aid even has a negative impact on economic growth (in Hungary, in the long run a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by almost 0.3 percentage points; in the short run, a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by 0.12 percentage points). The impact of state aid is observed in the countries of the Central and Eastern EU, where state aid expenditure is highest – Hungary and the Czech Republic. Assessing the impact of state aid at the macroeconomic level, it can be concluded that for many Central and Eastern EU countries, state aid is not an appropriate tool to promote economic growth and can be seen as an inefficient way to achieve this goal. On the other hand, in order to assess the overall impact of state aid on the economy, the impact at sectoral and market levels should be analyzed as well as social indicators should be included in the analysis

Governments can selectively allocate aid to sectors or companies, on the one hand, to compensate for market failures, in order to improve social welfare. On the other hand, such aid may normally lead to distortions of competition in the market or adversely affect international trade. The ambiguous impact of state aid raises the question what overall impact state aid has on the country's economy. It is noticeable that the extent of state aid is unevenly distributed in the EU countries. Compared to the EU average, the countries of Central and Eastern EU provide more state aid in terms of the share of state aid expenditure in GDP. In assessing the importance of state aid today, and given the ambiguous impact of state aid and aid trends in Central and Eastern EU countries, it is important to analyze the impact of state aid on the economies of Central and Eastern EU countries and its adequacy. The aim of this work is to assess the impact of state aid on the economies of Central and Eastern EU countries. Tasks set for the implementation of the aim of the work: to perform the analysis of the problem of the impact of state aid on the economies of the EU countries; to analyze the areas of expression of the impact of state aid on the country's economy; to develop an empirical model for the study of the impact of state aid on the economies of the Central and Eastern EU countries; to carry out an assessment of the impact of state aid on the economies of the Central and Eastern EU countries on the basis of the developed model. A detailed theoretical analysis of the impact of state aid on the economies of the Central and Eastern EU countries has shown that there is still no clear position on the impact of state aid on the country's economy. It can be argued that the impact assessment depends on the situation of individual countries, the objectives of the State aid granted, etc. Based on the results of theoretical analysis and the availability of statistical data, the impact of state aid on the economies of Central and Eastern EU countries was examined, including the independent variable – total state aid expenditure in Central and Eastern EU countries and dependent variables: exports, employment, GDP per capita, business investment. A research model consisting of two parts was developed: statistical and graphical analysis, based on the results of which the research hypotheses were raised, and econometric modeling, based on the results of which the hypotheses were confirmed or rejected. Econometric modeling was performed based on correlation analysis, Granger causality test, ARDL, ECM, PTR, PNR models, multiplier estimation. A study of the impact of state aid spending on macroeconomic indicators in Central and Eastern EU countries has shown that state aid does not promote economic growth and development in many Central and Eastern EU countries. In some cases, state aid contributes to the growth of the employment rate in the country (in the Czech Republic, with a 1 percentage point increase in state 6 aid expenditure over the long term, the change in employment increases by almost 9 percentage points; in the short run, with a 1 percentage point increase in state aid spending, the change in employment increases by 5 percentage points). On the other hand, in some cases state aid even has a negative impact on economic growth (in Hungary, in the long run a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by almost 0.3 percentage points; in the short run, a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by 0.12 percentage points). The impact of state aid is observed in the countries of the Central and Eastern EU, where state aid expenditure is highest – Hungary and the Czech Republic. Assessing the impact of state aid at the macroeconomic level, it can be concluded that for many Central and Eastern EU countries, state aid is not an appropriate tool to promote economic growth and can be seen as an inefficient way to achieve this goal. On the other hand, in order to assess the overall impact of state aid on the economy, the impact at sectoral and market levels should be analyzed as well as social indicators should be included in the analysis

Governments can selectively allocate aid to sectors or companies, on the one hand, to compensate for market failures, in order to improve social welfare. On the other hand, such aid may normally lead to distortions of competition in the market or adversely affect international trade. The ambiguous impact of state aid raises the question what overall impact state aid has on the country's economy. It is noticeable that the extent of state aid is unevenly distributed in the EU countries. Compared to the EU average, the countries of Central and Eastern EU provide more state aid in terms of the share of state aid expenditure in GDP. In assessing the importance of state aid today, and given the ambiguous impact of state aid and aid trends in Central and Eastern EU countries, it is important to analyze the impact of state aid on the economies of Central and Eastern EU countries and its adequacy. The aim of this work is to assess the impact of state aid on the economies of Central and Eastern EU countries. Tasks set for the implementation of the aim of the work: to perform the analysis of the problem of the impact of state aid on the economies of the EU countries; to analyze the areas of expression of the impact of state aid on the country's economy; to develop an empirical model for the study of the impact of state aid on the economies of the Central and Eastern EU countries; to carry out an assessment of the impact of state aid on the economies of the Central and Eastern EU countries on the basis of the developed model. A detailed theoretical analysis of the impact of state aid on the economies of the Central and Eastern EU countries has shown that there is still no clear position on the impact of state aid on the country's economy. It can be argued that the impact assessment depends on the situation of individual countries, the objectives of the State aid granted, etc. Based on the results of theoretical analysis and the availability of statistical data, the impact of state aid on the economies of Central and Eastern EU countries was examined, including the independent variable – total state aid expenditure in Central and Eastern EU countries and dependent variables: exports, employment, GDP per capita, business investment. A research model consisting of two parts was developed: statistical and graphical analysis, based on the results of which the research hypotheses were raised, and econometric modeling, based on the results of which the hypotheses were confirmed or rejected. Econometric modeling was performed based on correlation analysis, Granger causality test, ARDL, ECM, PTR, PNR models, multiplier estimation. A study of the impact of state aid spending on macroeconomic indicators in Central and Eastern EU countries has shown that state aid does not promote economic growth and development in many Central and Eastern EU countries. In some cases, state aid contributes to the growth of the employment rate in the country (in the Czech Republic, with a 1 percentage point increase in state 6 aid expenditure over the long term, the change in employment increases by almost 9 percentage points; in the short run, with a 1 percentage point increase in state aid spending, the change in employment increases by 5 percentage points). On the other hand, in some cases state aid even has a negative impact on economic growth (in Hungary, in the long run a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by almost 0.3 percentage points; in the short run, a 1 percentage point increase in state aid expenditure leads to the decline in real GDP by 0.12 percentage points). The impact of state aid is observed in the countries of the Central and Eastern EU, where state aid expenditure is highest – Hungary and the Czech Republic. Assessing the impact of state aid at the macroeconomic level, it can be concluded that for many Central and Eastern EU countries, state aid is not an appropriate tool to promote economic growth and can be seen as an inefficient way to achieve this goal. On the other hand, in order to assess the overall impact of state aid on the economy, the impact at sectoral and market levels should be analyzed as well as social indicators should be included in the analysis

The imposition of labour market policy measures have significant social and economic consequences. Changes in taxes and social contributions can influence labour market processes significantly. The analysed literature displays the conclusions based on mathematical research models that determine the impact of the tax policy on employment and on different segments of labour market. The variety of mathematical methods that is applied to the analysis of the dependence between labour market and taxes is explained by the particuliarity of the object and aim of the research. For the research in the Lithuanian labour market the compatibility of categories in the application of the mathematical models adapted to other countries is needed. In the monograph influence of taxes and social insurance payments on employment, unemployment and policy of labour market is discussed. In the first part mathematical models that are used in EU for quantitative evaluation of relation between labour market and taxes are analyzed. In the second part tax system, its structure, influence of taxes on state finance, their relation with economic and social processes are analyzed. The main tendencies of Lithuanian tax development, the basic factors and their influence on economic and social processes are revealed. In the third part the essential elements of Lithuanian labour market, its role and changes determined by laws of labour market and state regulations are evaluated. In the fourth part econometric model of relation between taxes and social payments is presented. Quantitative relations of these processes are revealed. The monograph is devoted to scientific workers, students, creators of tax and labour policy who are interested in problems of taxes and labour market.