Thesis (Ph. D.)--University of Notre Dame, 2006. / Thesis directed by Nelson C.Mark for the Department of Economics and Econometrics. "July 2006." Includes bibliographical references (leaves 90-96).

Thesis (Ph.D.)--Mississippi State University. Department of Finance and Economics. / Title from title screen. Includes bibliographical references.

Thesis (Ph. D.)--University of California, San Diego, 2000. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--West Virginia University, 2009. / Title from document title page. Document formatted into pages; contains vii, 97 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 91-97).

Thesis (Master of Economics)--Mahāwitthayālai Thammasāt, 1998. / Includes bibliographical references (leaves 96-98).

This thesis studies the relationship between GDP and Social Progress Index, components of social progress model and their dimensions. Using the dataset of 49 countries and Bayesian Model Averaging (BMA) and clustering analysis we found that there is not straight relationship between GDP and SPI. By testing 15 different models for each of 3 dimension (Basic Human Needs, Foundations of Wellbeing and Opportunity) of SPI we have found that the best variation of components would be to include all of them for each dimension. By using BMA approach we have found that the best model of SPI out of 12 components includes only intercept, tolerance and inclusion variables. The rest of components show quite low probability of inclusion, however, none of them showed 0 posterior probability. JEL Classification A13, C11, E01, I30, Keywords Kuznets, progress, SPI, GDP, BMA Author's e-mail valeria.e.efimenko@gmail.com Supervisor's e-mail daniel.vach@gmail.com

The objective of this thesis was to determine relation between macroeconomic indicators development and the development on the capital market in the Czech Republic in phase 2000 {--} 2005. The description of macroeconomic development and the development on the capital market is partial objective. Also this thesis describes changeover from centrally planned economy system to free market economy before year 2000, actual development, trends and determining factors. The evaluation of the relationship between macroeconomic indicators development and the development on the capital market was based on a macroeconomic part of the fundamental analysis.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A agricultura é uma das atividades econômicas mais essenciais para o Brasil. Por isso, o meio rural brasileiro experimentou profundas transformações relacionadas à modernização do setor agrícola, nas últimas décadas. O Brasil é considerado uma Potência Agrícola por diversos fatores: grande extensão territorial com áreas férteis, concentração de 12% da água doce do mundo, possui uma grande variedade de climas, entre outros. No Brasil, a Região Norte é a que menos participa no volume total do setor agrícola, pois possui baixos índices de produtividade em comparação com outras regiões. Sua economia é constituída basicamente por atividades ligadas ao setor primário, destacando-se o extrativismo e a agropecuária. Roraima, como integrante da Região Norte, possui uma agricultura incipiente em relação aos demais estados da federação, porém, caracterizado principalmente pela Agricultura Familiar, que representa 86,4% dos estabelecimentos agrícolas. Em Roraima, a agricultura familiar é constituída por pequenos produtores e representa a maioria de produtores rurais. Por isso, há a necessidade de se identificar que atividades cada família vem combinando como forma de aumentar sua renda, ou mesmo como sobrevivência. Este estudo buscou responder ao seguinte questionamento: Como está caracterizada a pluriatividade da Agricultura Familiar Roraimense e qual a contribuição da renda rural para o crescimento do Produto Interno Bruto PIB do estado de Roraima? Como forma de responder à pergunta de pesquisa, buscou-se analisar a participação das atividades agrícolas e não-agrícolas na renda auferida pela agricultura familiar roraimense e identificar a contribuição dessas rendas para o crescimento do PIB do estado de Roraima, a partir dos dados levantados pela Pesquisa Nacional por Amostra de Domicílios, no período de 2006 a 2013, e pelo Censo Agropecuário de 2006. Para conseguir atingir o objetivo geral, buscou-se: Dimensionar os tipos de atividades desenvolvidas no contexto rural no Estado de Roraima, no período de 2006 a 2013; Identificar e analisar a composição da renda das famílias do meio rural roraimense; Analisar a evolução do conjunto das rendas das famílias rurais; Interpretar a evolução das rendas de atividades agrícolas, não-agrícolas e outras rendas das famílias rurais de Roraima; Identificar e analisar a evolução do crescimento do PIB Estadual; e Identificar e analisar a contribuição das rendas de atividades da área rural roraimense em relação ao crescimento do PIB Estadual. Os principais resultados encontrados foram: Roraima apresenta um contingente expressivo de pessoas ocupadas na sua área rural, inclusive tendo uma representatividade superior ao conjunto do país; a agricultura familiar apresenta uma representatividade inferior em quantidade de estabelecimentos, mas possui 86,4% dos estabelecimentos agrícolas do estado, superior a média nacional (84,4%); a representatividade da atividade agrícola dentro do estado ainda assume a primeira colocação de atividade mais ocupada no estado; a renda média do empregado rural sofre pouca divergência em relação à renda auferida pelo empregado urbano; as rendas auferidas pelas pessoas economicamente ativas e o PIB Estadual per capita possuem uma correlação positiva, sendo que a renda das pessoas da área urbana demonstra maior impacto no PIB Estadual do que a renda das pessoas da área rural do estado.

Magister Artium (Development Studies) - MA(DVS) / Remittances inflows have gradually become one of the major sources of external financial inflows to developing countries. As a result, research abounds on the developmental effects of remittances in the home countries of migrants. At the micro level, recipients of remittances are more likely to have better access to quality health care, education as well as start-up fund for their own businesses. On the other hand at the macro level, remittances inflows can help increase the credit worthiness of countries by enabling them to use future remittances inflows as collateral for loans. Additionally, remittances inflows as a source of foreign exchange can be used by countries to fund import bills. Although there has been a surge of scholarship on remittances, this scholarship seems to be concentrated on the economic study of migration instead of the macroeconomic aspects of remittances. Furthermore, comparative studies on these macroeconomic aspects of remittances especially on African countries are underresearched and remains at the backwaters of academic study. Using quantitative time series data, this research seeks to do a comparative study on the countercyclical nature of remittances in four selected West African countries (Cameroon, Cape Verde, Nigeria and Senegal). The research used descriptive trend analysis, autocorrelation and an ARMAX model analyse the research problem. After critical analysis on whether remittances are countercyclical or not using the 2009 global financial crisis as a reference year in these four countries, it was found that, remittance inflows to Cameroon, Cape Verde, Nigeria and Senegal were pro-cyclical in nature. Moreover, in analysing the relationship between remittances inflows and gross domestic product (economic growth) the research revealed that there was a positive relationship between remittances inflows and economic growth for the four countries (Cameroon, Cape Verde, Nigeria and Senegal) observed. One recommendation given from this study is that, there is the need for remittances inflows to be invested in productive activities. This is because even if remittances continue to increase, without its investment in productive sectors, it cannot have any meaningful impact on economic growth in these countries.

An increasing amount of attention is paid by the media, and political and business leaders to national competitiveness indices. As globalisation increases and the difficulties of the financial crisis linger on, leaders look towards global benchmarks such as the World Economic Forum‟s Global Competitiveness Index to make policy and resource allocation decisions. Despite this emphasis on national competitiveness, how this translates to economic growth prospects is not well understood, and a universally accepted economic growth model continues to elude macroeconomists. The research seeks to understand whether a more detailed assessment of the Global Competitiveness Index‟s twelve competitiveness pillars can improve its explanatory power for economic growth, by investigating patterns of competitiveness performance from both static and dynamic perspectives. Data was collated over the period 2007-2013 for 118 countries. A hierarchical cluster analysis was performed to segment countries according to homogeneous competitiveness patterns, followed by stepwise multiple regression modelling on the total sample and the resulting clusters in order to assess impacts on adjusted R-squared values. Regressions were performed on stock and flow values for twelve country competitiveness variables. The results show that the cluster analysis coupled with the specified multiple regression models significantly improved the explanatory power of the selected competitiveness variables on economic growth, except for the least competitive countries, where further research is needed to uncover their true drivers of competitiveness. / Dissertation (MBA)--University of Pretoria, 2013. / lmgibs2014 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted