This study empirically investigates the role Development Finance Institutions (DFIs) play in the economic growth of Zambia from 1992: Q1 to 2015: Q4. The main aim of the study is to find out if DFIs enhance economic growth in Zambia and if the growth witnessed over the study period was in fact improved by these inflows. Additionally, a multiple regression is run against the exchange rate, inflation unemployment and interest rate to further analyse the interaction of these variables with DFI inflows and how they have impacted the growth levels experienced in Zambia. The findings show that the impact DFIs on the GDP are ambiguous. In current period and DFI lagged to 2 periods prior, has a depressing effect whilst DFI lagged one period has an encouraging effect on GDP levels. Furthermore, from the cointegration tests, it is evident that there is a long run relationship that exists, signifying that the positive effects of DFIs can be felt in future periods especially if deployed to key sectors. The regression results of the other variables are in line with macro-economic theory which suggests that DFI inflows need to be supplemented with stable macro conditions to boost the degree of positive impact on GDP. To ensure future benefit to Zambia from DFI inflows; recommendations preferred to authorities inferred from the findings include, directing of these funds to job and revenue generating sectors that can increase export revenue. These sectors may include agriculture and manufacturing. Furthermore, it is cardinal that institutional infrastructures are put in place that effect legal and monitoring framework to ensure efficient deployment of these funds within the economy.

In modern world, economic growth is the main object of many countries. And the rate of inflation is another central subject for the macro economic policy in many countries and it is an important criteria to measure whether the macro economy in a country works steadily and healthy. So the relationship between these two indexes---economic growth rate and the inflation rate is always debated. There are three possible relations between the two variables: positive, negative and no effect. And many theories and empirical results are carried out to test the relationship. This paper analyses the relationship between inflation and gross domestic product (GDP) in OECD countries while at the same time considering the influence of variables such as: investment rate, trade balance, fertility rate, direct foreign investment and tax. The main object is to asses the effect of inflation on economic growth. The second aim is to check the effect of tax rate on the economic growth rate. Tax is also important for the economy. Econometrics techniques for panel data are used for the analysis.

This diploma thesis is aimed to analyze and investigate theoretically and empirically whether FDI affects regionalism in Southeast and East Asia. It applies regression analysis to examine how foreign direct investment influence GDP growth, the most visible aspect of ASEAN´s open regionalism. Panel data analysis was carried out, using time series data over the period from 2005 to 2014 to establish a relationship between chosen variables. The findings indicate that foreign direct investment has influential role in the economic integration and development of the ASEAN countries. The contribution of FDI to growth is significant in East and Southeast Asia.

This research examines why poverty has been persistent in all regimes that have tried to use public policy to eradicate it with no success. This research begins to examine the economic, fiscal, and current Federal Reserve monetary policy for an understanding of why poverty persists. The purpose of this experimental, cross-sectional design is to test the relationship between poverty level, population size, gross domestic product and the Gini coefficient. The most important outcome of the research is to understand if poverty is an unintended consequence of economic activity and not individual circumstance. In the dissertation, 5 U.S. states are examined in the year 2014. The data were collected using the U.S. Census Bureau and American Community Surveys. Using multiple regression, this research aimed to establish the minimum amount of expected poverty in the sample's population and gross domestic product (GDP). Using the results and further research, a predictive model could be created to understand how poverty, population, and GDP intersect to create stable economies. The key results yielded the Gini coefficient has no effect in predicting expected poverty levels. As determined by the model, Arizona would have a poverty decrease of 17.1% and Illinois' poverty would decrease by 7.7%. Georgia and Washington would increase by 9.4% and 21.8%, respectively. New York's levels would remain the same. One of the recommendations is continuing research to understand other quantitative factors that reduce or increase poverty numbers. These results help promote social change by possibly informing monetary policymakers more targeted solutions to mitigating poverty levels.

No description available.

Cutting down carbon dioxide emissions produced by our current way of life will not be enough to stop climate change. By aligning myself with the Collaborative economy scenario of a Sweden in 2050 produced by The Beyond GDP-growth program i have tried to understand how we could live in another (economical) paradigm. I propose rebuilding the existing building Lågskär 1 in the suburb of Kärrtorp south of Stockholm. Adapting existing buildings is in line with the scenario, as is “docking around nodes in the public transport system”The house was built in 1949 and of consists of a ground floor with shop premises and two floors of apartments. To turn it into a building of the scenario i located core home functions (sleeping, some storage) to the apartment floors and extended home functions (hygiene, cooking, eating, social contact, workshop) to the ground floor. Placing common functions in the ground floor is also mentioned in the scenario text.The number of inhabitants of the house is more than doubled compared with today, and consumption and use of resources is reduced by sharing spaces and commodities used in everyday life.

O objetivo do trabalho é pesquisar indicadores que possibilitem aos usuários interessados, acompanhar o desempenho econômico e social dos municípios do Estado de São Paulo. Comparar cada indicador em relação ao seu objetivo, formulação, abrangência, periodicidade, responsabilidade, limitação e disponibilidade. Posteriormente, selecionar os indicadores que se mostraram mais apropriados para mensurar a desigualdade sócio-econômica entre os municípios. Parte dos dados obtidos serão espacializados com a geração de mapas temáticos utilizando o aplicativo desenvolvido pelo DATASUS, do Ministério da Saúde. A geração e utilização de Indicadores Sociais e Econômicos espacializáveis, além de possibilitar o conhecimento das condições de vida de uma população, é uma ferramenta fundamental para orientar as políticas públicas no sentido de promover o bem-estar social dos munícipes. / The objective of this research is to search for indicators to enable interested users to monitor the economic and social performance of the São Paulo States Municipalities. Comparing each indicator in relation to its objective, formulation, comprehensiveness, timeliness, responsibility, control and availability. Afterwards, to select the indicators that were more appropriate to measure the socioeconomic inequality among these municipalities. Part of the obtained data will be spatialized with the generation of thematic maps using an application developed by DATASUS, the Ministry of Health. The generation and use of Social and Economic Indicators, in addition to providing the knowledge of populations living conditions, is a suitable tool to guide public policies to promote the citizens welfare.

O objetivo do trabalho é pesquisar indicadores que possibilitem aos usuários interessados, acompanhar o desempenho econômico e social dos municípios do Estado de São Paulo. Comparar cada indicador em relação ao seu objetivo, formulação, abrangência, periodicidade, responsabilidade, limitação e disponibilidade. Posteriormente, selecionar os indicadores que se mostraram mais apropriados para mensurar a desigualdade sócio-econômica entre os municípios. Parte dos dados obtidos serão espacializados com a geração de mapas temáticos utilizando o aplicativo desenvolvido pelo DATASUS, do Ministério da Saúde. A geração e utilização de Indicadores Sociais e Econômicos espacializáveis, além de possibilitar o conhecimento das condições de vida de uma população, é uma ferramenta fundamental para orientar as políticas públicas no sentido de promover o bem-estar social dos munícipes. / The objective of this research is to search for indicators to enable interested users to monitor the economic and social performance of the São Paulo States Municipalities. Comparing each indicator in relation to its objective, formulation, comprehensiveness, timeliness, responsibility, control and availability. Afterwards, to select the indicators that were more appropriate to measure the socioeconomic inequality among these municipalities. Part of the obtained data will be spatialized with the generation of thematic maps using an application developed by DATASUS, the Ministry of Health. The generation and use of Social and Economic Indicators, in addition to providing the knowledge of populations living conditions, is a suitable tool to guide public policies to promote the citizens welfare.

The objective of this thesis is to find out what factors have been the main sources of economic growth in China in 2003 and 2010. It also aims to find out whether the Solow model can be used to explain growth in China, if factors of growth are the same in rich and poor regions, whether the factors are the same in 2003 and 2010 and if the results are in line with previous research. The theoretical framework is the Solow model. Empirical tests are performed using econometrics, and therefore this thesis has a quantitative approach. Factors used are growth in GDP per capita which is tested against investments, household savings, the level of GDP per capita, population growth, healthcare and education. The results show that the Solow model can explain economic growth in China. Investments, the level of GDP per capita and population growth are the factors most significant to growth. In poor regions, both investments and population growth are more significant than in rich regions, whereas healthcare is more significant in rich regions. Investments and population growth also have a smaller impact in 2010 than 2003. Healthcare is more significant in 2010 and than 2003, and education is only significant in 2010. Previous research shows a wide range of results, and the results of investments and population growth are consistent with those.

No description available.