The master thesis introduces comparison of economic situation and overall quality of life in regions of the Czech Republic in 2013. Based on hierarchical Quality-of-life Index (QLI), the thesis confirms stated hypothesis, which assumes that ordered lists of regions by GDP per capita and alternative, more complex QLI will differ. Aforementioned index is composed of 24 cross-section indicators, which are sorted into three particular categories. Inputs can be considered both consistent and comparable, since the analysis is based on data published by Czech statistical office, individual ministries and official specialized institutions. As the following synthesis proves, Prague region is the best ranked - especially thanks to its favorable economic and demographic conditions. The thesis therefore denies another hypothesis, which expects Prague to perform worse due to its high rate of crime and lower quality of environment than in other regions. Regression analysis implies that total GDP per capita contribution to QLI corresponds to 70 percent.

This paper discusses on the Family Grant Program, framed as a public policy of institutionalized income distribution in 2004. Whereas the GMP contributes to the distribution of income in the poorest regions of Brazil, like the municipalities in Sergipe, this study aims answer is no impact of direct income transfer GMP in GDP (Gross Domestic Product) of municipalities in Sergipe. It has been in this study the application of a model that checks among the variables values allocated to municipalities with reference to the Family Grant Program - VPBF, revenues from royalties, share of the ICMS, added value - agriculture, industry, services, transfers received concerning the benefits paid by Social Security (retirement and survivorship), population numbers and the independent variable (to be explained) - GDP of each municipality, which more impact on the GDP of municipalities in Sergipe. The analysis consists in the use of data analysis techniques in panel combination with transverse time series analysis, considering the aforementioned variables. The results, considering the various applied demonstrate that GMP has no impact on GDP of the cities studied. For future work the proposal to hold a regional study considering the economics site. / Esta dissertação aborda sobre o Programa Bolsa Família, enquadrado como política pública de distribuição de renda institucionalizada no ano de 2004, esse tem como objetivo ajudar famílias que tem filhos com idade entre zero e quinze anos ou gestantes que estejam em situação de pobreza ou de extrema pobreza. Considerando que o PBF contribui para a distribuição de renda nas regiões mais pobres do Brasil, a exemplo dos municípios sergipanos, o presente estudo busca responder se há impacto de transferência de renda direta do PBF no PIB (Produto Interno Bruto) dos municípios sergipanos. Tem-se na realização deste estudo a aplicação de um modelo que verifica dentre as variáveis: valores repassados aos municípios com referencia ao Programa Bolsa Família - VPBF, receitas com royalties, quota parte do ICMS, valor adicionado – agropecuária, indústria, serviços, transferências recebidas referentes aos benefícios pagos pelo INSS (aposentadoria e pensão por morte), número da população e a variável independente (a ser explicada) - PIB de cada município, qual a que mais impacta no PIB dos municípios sergipanos. A análise consiste na utilização da técnica de análise de dados em painel, com combinação de análise transversal com série de tempos, considerando as citadas variáveis. Os resultados obtidos, considerando as variáveis aplicadas demonstram que o PBF não tem impacto significativo no PIB dos municípios estudados. Sugere-se para trabalhos futuros a proposta de realizar um estudo econométrico separado por regiões considerando suas especificidades econômicas.

This diploma thesis deals with comparison of regions of the Czech Republic between national economy in terms of construction production and selection of region with the greatest potential for development of construction production. In the theoretical part is defined the term region, which is followed by regional economics and politics. Another topic addressed is regional development territorial development strategies and indicators that capture the differences between regions. The practical part deals with the characteristics of the national economy and construction in individual regions, which is folloved by a draft strategy dealing with problems in the field of construction. The last part of the thesis, regions are compared according to the given indicators and the regions with the greatest potential for the development of construction production are indentified.

The aim of my thesis is to assess the effect of pumping subsidy programs for private sector competitiveness in the region's economic indicators. In my thesis I focus on the Highlands region and in it to draw grant funds from the Operational Programme "Entrepreneurship and Innovation". The result of my thesis will assess the impact of pumping subsidies for economic development by companies and then to economic development.

The objective of this thesis is to analyze the impact of the electronic records of sales (ERS) implemented on December 1, 2016, in the Czech Republic. The ERS orders given entrepreneurs to use special cash boxes and to send data about single sales to the Financial Authority immediately after each transaction. Experience shows that the ERS reduced tax evasion and the shadow economy. This thesis fills a gap in literature as no study has yet examined the impact of ERS on macroeconomic variables - gross domestic product (GDP) per capita, unemployment rate and harmonized consumer price index (HCPI). To analyze it, I apply SCM by Abadie and Gardeazabal (2003), Abadie et al. (2010) and Abadie et al. (2015) that proposes the way how to evaluate the impact of political interventions using a quantitative approach. Using data from the Eurostat and OECD databases from Q1 2004-Q3 2019, the method allows me to construct a counterfactual outcome for GDP per capita, unemployment rate and HCPI in the absence of the implementation of the ERS. I also apply the extension of original SCM - generalize synthetic control method by Xu (2017) and augmented synthetic control method by Ben-Michael et al. (2018) as robustness checks. Moreover, the interference procedures include the modified confidence interval by Firpo and Possebom...

7 Abstract The thesis analyses trends of two environmental aspects in spatial terms of the Czech Republic and timal terms since 1993 till 2010. The two aspects are acid deposition as environmental pressure and defoliation of forest crown as environmental impact. Since one aspect is cause of the other the thesis also analyses trends of relationship between these aspects and comapares the results with the concept of decoupling of environmental pressure from economic growth. Important findings are that despite huge relative decrease of environmental pressure expressed by acid deposition the decrease of environmental impact expressed by forest crown defoliation is very low. Although decoupling occured during the analyzed period it's not possible to say that linkage between "environmental bads" and "economic goods" was broken. The thesis reveals factors that had influence on these findings. The thesis also compares particular concepts of decoupling being used and provides author's input on which of these concepts suits the best analyzing the breakage of the links between environmental pressure from economic growth in all of its aspects. Key words: sustainable development, sustainability, decoupling of environmental pressure from economic growth, acid deposition, defoliation, gross domestic product.

Thesis (M. Com. (Economics)) -- University of Limpopo, 2021 / The main aim of the study is to analyze determinants of sovereign credit ratings (SCRs) for Southern African Development Community (SADC) countries, namely Angola, Botswana, Mozambique, South Africa and Zambia. The analysis is based on the SCRs given by Standard and Poor’s (S&P). The selected explanatory variables are gross domestic product (GDP) per capita, inflation, external debt, foreign direct investment (FDI) inflows and control of corruption for the period 1990-2016, based on annual data. The panel root test results, namely IPS, LLC, ADF Fisher and PP Fisher, show that GDP per capita, external debt and FDI are stationary at 5% level of significance. The Hausman test results indicates that the identified explanatory variable explains 80% of SCRs. The model observed a positive relationship between SCR, inflation and control of corruption. It also observed a negative correlation between SCR, GDP per capita, external debt and FDI. The Pedroni residual cointegration test results indicate that there is no long-run relationship among variables and no autocorrelation as shown by serial correlation LM test results. The study recommends that the selected member states of SADC develop strategic plans for reducing budget deficits. This will help countries to manage their debts, especially foreign currency denoted debt and to attract foreign investment. Keywords: Sovereign credit ratings, fixed effects model, random effects, Hausman test.

This study argues that governments with sustained GDP growth, open markets, low country risk, high levels and low standard deviation of government performance, and few or no occurrences of war, will see larger levels of foreign direct investment (FDI) over time. Scholarship on the determinants of FDI variously argues the influence of GDP growth, the openness of a country's economy, a government's level of political capacity, the level of country risk, and the negative effects of inter-, intra- and extrastate conflict. These studies on the various effects on FDI, while providing insightful and substantial statistical results, fail to capture the simultaneous effects of macroeconomic, government performance, country risk, and war variables. The present study attempts to resolve this gap in the literature on FDI by proposing a multi-dimensional model of the combined effects of un-weighted macroeconomic, political, country risk, and war variables on FDI flows over time. The empirical results confirm the expected multi-dimensional nature of FDI flows over time and provide insight into the macroeconomic and political effects on regional and country-level yearly flows of FDI, as well as yielding some unexpected and counter-intuitive results of the role war plays on FDI flows over time.

Thesis (Ph.D. (Economics)) -- University of Limpopo, 2022 / This study investigated the relationship between economic complexity and the three mac-roeconomic variables in a comparative setting between selected Sub-Saharan African (SSA) and BRICS countries. Economic complexity as a development index reveals how sophisticated a country is as shown by its exports structure through the Product Com-plexity Index (PCI) and Economic Complexity Index (ECI). The three macroeconomic var-iables are gross domestic product per capita (GDP per capita), current account and fixed investment (gross fixed capita formation) for the period 1994 to 2018.The first three set study objectives were investigated on whether there exists a short and long-run relation-ship through a Panel Autoregressive Distributed Lag (PARDL). The the fourth objective was to test for causality through a standard Granger causality, and fifth, to forecast the macroeconomic variables for the foreseeable future utilising the Impulse Response Func-tion (IRF) and the variance decomposition techniques, these are complementary tech-niques. The last two objectives were to draw a comparative analysis upon the findings, and to relate on the product complexities and economic landscape in the selected SSA and BRICS. Reporting on the ECI-GDP per capita nexus, the PARDL estimates revealed a positive and significant association between ECI and GDP per capita in both the se-lected SSA and BRICS in the long-run. There was no Granger causal effect between ECI and GDP per capita for both set of countries. The concern was in relation to forecasting GDP per capita due to a shock in ECI. The selected SSA GDP per capita response to a shock in ECI was neutral when adopting the IRF technique, and the variance decompo-sition also revealed small estimates in both the short and long-run, below 1%. In the BRICS economies, there was a meaningful positive reaction from a shock in ECI when deploying the IRF technique, while the variance decomposition had a 3% response in the long run when seen through the variance decomposition. On the current account-ECI relationship, the PARDL estimates exposed that there was a positive and significant impact from ECI on the current account in both the groups in the long-run significant while short-run results were insignificant. Granger causality could not detect any causal effect between ECI and current account in the selected SSA, while in the BRICS countries there was a unidirectional causal effect from ECI to current account. When forecasting the current account, the selected SSA reacted negatively to a shock in v ECI seen through the IRF, and the variance decomposition also revealed a small reaction in any period. In the BRICS case, current account’s response was a positive and explo-sive reaction from a shock in ECI when applying the IRF technique. The VD revealed a higher change in current account was explained by a shock in ECI. On the ECI-Fixed Investment, the PARDL estimates showed that there was a long-run positive and signifi-cant effect between ECI and fixed investment in bothgroups. However, the Granger causal results revealed no presence of causality in the selected SSA, while there was causal unidirectional effect from ECI to fixed investment. The IRF technique revealed a negative fixed investment reaction from a shock in ECI, and the variance decomposition results revealed a small reaction in fixed investment in the selected SSA. In the BRICS case, there was a positive and explosive fixed investment emanating from a shock in ECI. Utilising the variance decomposition fixed investment in BRICS was explained by inno-vative shocks in ECI in the long run. On the last two objectives, comparatively the selected SSA countries are disadvantaged as they are concentrated in negative ECI as seen in the descriptive statistics, reflecting that they are still much less developed. This tells us that they are less industrialised as compared to the BRICS nations who are better off. These selected SSA economies are not developed enough as compared to the BRICS nations. The SSA region needs to learn from the leading BRICS countries by creating a conducive environment for a better de-velopment of innovation that improves the domestic value chain that produces knowledge-based products for the export market. The rest of the selected SSA region should form part of economic integrations with the more developed countries that offer mutual beneficiation like South Africa to fast track the developmental of their states. There is a need to modernise the agricultural and agro-industries. The region should harness the full potential of its agricultural sector. This will create a large global market share and perhaps increase the current account outlook through trade with more efficient agro-pro-cessed products. Africa needs to scale up investment in many fronts from government to private investment to improve infrastructure, more so that the scale of needs is so much in the continent.

Pollution is one of humanity's most pressing problems. Although there are many types of pollution, air pollution is one of the main causes of global warming. Therefore, simultaneously improving environmental quality and economic growth, and studying the variables that affect this relationship, has been one of the key issues for researchers and policymakers in recent years, especially in the wake of the United Nations 2030 Agenda for Sustainable Development.This paper aims to estimate the relationship between carbon emissions, GDP per capita, renewable energy and non-renewable energy sources as well environmental taxes in G10 industrialized countries over the period 1972-2020. Regression analysis and panel data were used to answer the questions. Previous studies of the Ecological Kuznets Curve (EKC) for CO2 emissions, with most samples based on G10 member countries, have had mixed results. The environmental Kuznets curve shows that economic development initially leads to environmental degradation, but once economic growth reaches a certain level, the relationship between society and the environment begins to improve and the degree of environmental degradation decreases. From a very simple perspective, this might suggest that economic growth is good for the environment. Critics, however, argue that economic growth is not guaranteed to lead to environmental improvements, which can often backfire. At the very least, it requires very targeted policies and attitudes to ensure that economic growth goes hand in hand with environmental improvement. / <p> Tre helt olika miljö-/BNP-kurvor</p><p>Studien undersöker etablerade teorier för att beskriva sambandet mellan miljöskador och ekonomisk aktivitet, inklusive Environmental Kuznets Curve (EKC), Brundtland Curve Hypothesis (BCH) och Environmental Daly Curve (EDC).</p>