SILVA, Raul Klebersom Moura da. Repercussões econômicas das contratações do FNE no setor agroindustrial do Nordeste, sob a ótica da matriz de insumo-produto do Nordeste (1989-2008). 2010. 113 f.: Dissertação (mestrado) - Universidade Federal do Ceará. Mestrado Acadêmico em Economia Rural (MAER). Centro de Ciências Agrárias. Fortaleza-CE. 2010 / Submitted by Francisco Helder Macêdo Rangel (fhelder@ufc.br) on 2014-09-30T14:54:30Z No. of bitstreams: 1 2010_dis_rkmsilva.pdf: 942906 bytes, checksum: 56abe41f6a5c138f9b3c5b18612aabd7 (MD5) / Approved for entry into archive by Margareth Mesquita(margaret@ufc.br) on 2014-10-02T15:12:29Z (GMT) No. of bitstreams: 1 2010_dis_rkmsilva.pdf: 942906 bytes, checksum: 56abe41f6a5c138f9b3c5b18612aabd7 (MD5) / Made available in DSpace on 2014-10-02T15:12:29Z (GMT). No. of bitstreams: 1 2010_dis_rkmsilva.pdf: 942906 bytes, checksum: 56abe41f6a5c138f9b3c5b18612aabd7 (MD5) Previous issue date: 2010 / Evaluates the economical repercussion of FNE financing cotracts in the agroindustry sector during the period of 1989 to 2008, innovating, in relation to traditional assays, as it changes the focus analysis of the Program's sphere to the scope of the characteristically activities of the sector. For doing só, it has been used as a tool for impact measurement, the recently up-t0-date Northeast Input-output Matrix> Under this way, measuring the individual impacts of the activities and, afterward, aggregating them, there has been found the results for the Sactor. Overall, the mentioned results confirmed that the FNE resources directed to the agribusiness sector have been fundamental to the northeastern economy, considering that, representing only 6,9% of the total applied by the mentioned Fund in the Region, it has impacted on the Gross Value insertion of R$ 11,7 billions in the production: which, for its turn, has been materialized in increments on the Region's PIB of about R$ 5,9 billions and in the creation and maintenance in an average of 15.145 work opportunities each year, during the analysis period. FNE has still been responsible for impacts of R$ 1,7 billion on the total wages and for the generation of around R$ 1,9 billion in tributary income in favor of the Public Administratin. Regarding this, the sectors that manufacture sugar, and cellulose and mechanical paste have been the ones that presented the biggest impacts and the best multipliers in practically all the variables, studied. In despite of the mentined results, the elevated percentages of overflowing and low pure bonding indexes identified have evidenced the Northeast as a products buyer with a bigger aggregated value in relation to those to whom it sells, which is what turns it into an exporter of wealth and taxes, as well as an in deficit in relation to its trade balance and meaningful dependent on the productive sectors of rest of the country. / Avalia as repercussões econômicas das contratações do FNE no setor agroindustrial do Nordeste no período de 1989 a 2008, inovando em relação às análises tradicionais, ao mudar o foco da análise de impactos da esfera do Programa para o âmbito das atividades características do setor. Para tal, foi utilizada como ferramenta para mensuração de impactos, a recentemente atualizada Matriz de Insumo-Produto do Nordeste. Dessa forma, mensurando os impactos individuais ds atividades e posteriormente agregando-os foram encontrados os resultados para o Setor. De maneira geral, os citados resultados confirmaram que os recursos do FNE direcionados ao setor agroindustrial foram fundamentais para a economia nordestina, haja vista que, representando apenas 6,9% do total aplicado pelo citado Fundo na Região, impactaram na inserção de R$ 11,7 bilhões em Valor Bruto da produção, que por sua vez, se materializaram em incrementos no PIB da Região da ordem de R$ 5,9 bilhões e na criação e manutenção, em média, de 15.145 postos de trabalho por ano, durante o período de análise. O FNE foi responsável ainda por impactos de R$ 1,7 bilhão na massa salarial e pela geração de cerca de R$ 1,9 bilhão em receitas tributárias em favor da administração Pública. Neste particular, os setores de Fabricação de açúcar e Fabricação de celulose e Pasta mecânica foram os que apresentaram os maiores impactos e os melhores multiplicadores em praticamente todas as variáveis estudadas. Não obstante os resultados mencionados, os elevados percentuais de transbordamento e baixos índices puros de ligação identificados evidenciaram o Nordeste como um comprador de produtos com maior valor agregado em relação àqueles que ele vende, o que torna um exportador de riqueza e tributos, assim como deficitário em relação à sua balança comercial e significante dependente dos setores produtivos do restante do país.

Made available in DSpace on 2014-06-12T17:21:24Z (GMT). No. of bitstreams: 2 arquivo6027_1.pdf: 709170 bytes, checksum: 72fc48df8fa5f9eb1cf6a8d821ea7aaf (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2007 / O trabalho analisa os impactos sobre a produção na economia de Pernambuco, provenientes de uma variação positiva nas demandas finais das atividades relacionadas à cana-de-açúcar e relacionadas aos seus dois principais produtos, o álcool e o açúcar, observando também os inter-relacionamentos existentes entre estes (cana-de-açúcar, álcool e açúcar) versus seus setores/produtos fornecedores e consumidores. Para tanto, além da necessidade de desagregação da Matriz de Insumo-Produto de Pernambuco para 1999 para 37 atividades, foram utilizados ferramentais importantes na análise dos impactos, tais como os indicadores de Rasmussen e Hirscman e os coeficientes de variação de dispersão. Os resultados apresentam uma caracterização e diferenciação, por meios qualitativos e empíricos, das três atividades/setores e seus respectivos efeitos diretos e indiretos sobre a economia do estado de Pernambuco. Destacando o álcool como aquele cujo aumento na demanda final resultou nos maiores benefícios, em termos de aumento de produção, para a economia pernambucana, seguido pelo açúcar e pela cana-de-açúcar

199f. / Submitted by Suelen Reis (suziy.ellen@gmail.com) on 2013-03-06T17:13:05Z No. of bitstreams: 1 Antonio%20Marcos%20%20Silvaseg.pdf: 1441149 bytes, checksum: c8b9919f143a479d074c8a5a5985eab5 (MD5) / Approved for entry into archive by Vania Magalhaes(magal@ufba.br) on 2013-03-14T12:38:27Z (GMT) No. of bitstreams: 1 Antonio%20Marcos%20%20Silvaseg.pdf: 1441149 bytes, checksum: c8b9919f143a479d074c8a5a5985eab5 (MD5) / Made available in DSpace on 2013-03-14T12:38:27Z (GMT). No. of bitstreams: 1 Antonio%20Marcos%20%20Silvaseg.pdf: 1441149 bytes, checksum: c8b9919f143a479d074c8a5a5985eab5 (MD5) Previous issue date: 2008 / O autor tem como objetivo analisar o perfil educacional do emprego e da renda gerada direta e indiretamente nos setores da economia baiana. O perfil educacional foi detalhado em nove níveis de instrução de modo que possibilitasse avaliar os efeitos da política educacional sobre o sistema produtivo. A análise foi elaborada a partir dos modelos de geração de emprego e renda utilizando a matriz de insumo-produto para o ano de 2005. Desse modo, faz uma abordagem geral sobre a política educacional no Estado da Bahia, apresentando as estratégias e metas da educação, bem como a sua relação com o conceito do capital humano. Do mesmo modo, apresenta a metodologia para elaboração das matrizes de relações intersetoriais e elabora a matriz para o Estado da Bahia referente ao ano de 2005. O autor apresenta também as formas de interpretação desta matriz e efetua uma análise sobre a economia baiana para o ano de 2005, considerando os impactos da educação sobre a geração do emprego e da renda. Os resultados do modelo mostram que os setores da economia baiana geram mais empregos para trabalhadores com instrução equivalente ao ensino médio, pagam maiores salários aos trabalhadores com instrução igual ao nível superior e que a renda salarial cresce à medida que aumenta o grau de instrução. O modelo evidenciou também que os setores mais dinâmicos da economia não são os setores que mais geram emprego e renda. / Salvador

Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-05-20T14:47:05Z No. of bitstreams: 1 amirborgesferreiraneto.pdf: 1440796 bytes, checksum: d1063738233f05deb58bbed84b623a4a (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-07-02T11:23:21Z (GMT) No. of bitstreams: 1 amirborgesferreiraneto.pdf: 1440796 bytes, checksum: d1063738233f05deb58bbed84b623a4a (MD5) / Made available in DSpace on 2016-07-02T11:23:21Z (GMT). No. of bitstreams: 1 amirborgesferreiraneto.pdf: 1440796 bytes, checksum: d1063738233f05deb58bbed84b623a4a (MD5) Previous issue date: 2012-03-05 / FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais / Insumos energéticos são essenciais e possuem poucos substitutos. O consumo energético, além de estar associado ao bem-estar das famílias, é indispensável em qualquer processo produtivo. O crescimento e desenvolvimento econômico dos países não membros da OCDE vêm acarretando em modificações na estrutura de demanda das famílias e na estrutura produtiva dos países por meio do progresso técnico, o que modifica a demanda pelos diferentes insumos energéticos. Neste contexto, este trabalho teve por objetivo avaliar como a mudança nestes elementos associados à demanda, i.e. demanda das famílias e estrutura de produção, afetam o uso de energia em países emergentes (Brasil, China e Índia) e em países desenvolvidos (Alemanha, Reino Unido e Estados Unidos). Para tanto, foram utilizadas matrizes de insumo-produto de 1995 e 2005, utilizando-se da técnica de Análise de Decomposição Estrutural. Os seguintes resultados podem ser destacados: i) os setores que se verificam como importantes fornecedores da economia são setores que fazem maior uso de energia; ii) para a demanda das famílias o efeito quantidade demandada é em geral maior que o efeito alocação da demanda, tanto nos países desenvolvidos como nos países em desenvolvimento; iii) para a contribuição tecnológica, a parcela referente apenas à variação dos insumos energéticos é maior em geral que a parcela relativa aos insumos não energéticos, tanto para os países desenvolvidos como os emergentes. / Energetic inputs are essential and have few substitutes. The energy consumption is associated to households’ well-being and is needful in any productive process. The economic growth and development of non-OECD countries is causing modification in households’ structure of demand and in the production structure through technical progress, which changes the demand by the different energy inputs. In this context, this thesis goal is to access how the changes in the elements associated to the demand, i.e. households’ demand and production structure, impact the use of energy in developing countries (Brazil, China and India) and in developed countries (Germany, United Kingdom and United States). To achieve such objective we used input-output matrix of 1995 and 2005, applying the Structural Decomposition Analysis. The following results can be highlighted: i) the sectors verified as main suppliers in the economy are those which use more energy; ii) for the households’ demand the quantity effect is in general higher than the allocation effect, in both developed and developing countries; iii) for the technological contribution, the portion referring only the changes in the energetic inputs is in general higher than the portion regarding the changes in the non-energetic inputs, in both developed and developing countries.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Como uma medida sintética do grau de fragmentação da produção, muitos estudos recentes tem se empenhado em coletar evidências da especialização vertical para as economias desenvolvidas, mas pouca atenção tem sido aplicada às economias em desenvolvimento e, em particular, para o Brasil. A contribuição chave desta dissertação é prover estimativas comparáveis da especialização vertical refletidas no conteúdo importado das exportações do Brasil. Com base nas matrizes de insumo-produto (MIP) do Instituto Brasileiro de Geografia e Estatística (IBGE) de 1990 a 1996 e nas mais recentes 2000 e 2005, foi estimado que o conteúdo importado das exportações brasileiras é em média 10,4% de 1990 a 1996 e 15% para 2000 e 2005. Estimativas do conteúdo importado desagregadas por atividades também foram obtidas para os anos 1990, 1995, 2000 e 2005. / As a summary measure of the degree of production fragmentation, many recent studies has been engaged in collecting evidence of vertical specialization for developed economies, but little attention has been applied to developing economies and, in particular, to Brazil. The key contribution of this thesis is to provide comparable estimates of vertical specialization reflected in the import content of exports from Brazil. Based on the input-output matrices (MIP) of the Brazilian Bureau of Geography and Statistics from 1990 to 1996 and the latest 2000 and 2005, it was estimated that the import content of Brazilian exports is on average 10.4% from 1990 to 1996 and 15% for 2000 and 2005. Estimates of imported content disaggregated activities were also obtained for the years 1990, 1995, 2000 and 2005.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Como uma medida sintética do grau de fragmentação da produção, muitos estudos recentes tem se empenhado em coletar evidências da especialização vertical para as economias desenvolvidas, mas pouca atenção tem sido aplicada às economias em desenvolvimento e, em particular, para o Brasil. A contribuição chave desta dissertação é prover estimativas comparáveis da especialização vertical refletidas no conteúdo importado das exportações do Brasil. Com base nas matrizes de insumo-produto (MIP) do Instituto Brasileiro de Geografia e Estatística (IBGE) de 1990 a 1996 e nas mais recentes 2000 e 2005, foi estimado que o conteúdo importado das exportações brasileiras é em média 10,4% de 1990 a 1996 e 15% para 2000 e 2005. Estimativas do conteúdo importado desagregadas por atividades também foram obtidas para os anos 1990, 1995, 2000 e 2005. / As a summary measure of the degree of production fragmentation, many recent studies has been engaged in collecting evidence of vertical specialization for developed economies, but little attention has been applied to developing economies and, in particular, to Brazil. The key contribution of this thesis is to provide comparable estimates of vertical specialization reflected in the import content of exports from Brazil. Based on the input-output matrices (MIP) of the Brazilian Bureau of Geography and Statistics from 1990 to 1996 and the latest 2000 and 2005, it was estimated that the import content of Brazilian exports is on average 10.4% from 1990 to 1996 and 15% for 2000 and 2005. Estimates of imported content disaggregated activities were also obtained for the years 1990, 1995, 2000 and 2005.

Avalia as repercussÃes econÃmicas das contrataÃÃes do FNE no setor agroindustrial do Nordeste no perÃodo de 1989 a 2008, inovando, em relaÃÃo Ãs anÃlises tradicionais, ao mudar o foco da anÃlise de impactos da esfera do Programa para o Ãmbito das atividades caracterÃsticas do setor. Para tal, foi utilizada como ferramenta para mensuraÃÃo de impactos, a recentemente atualizada Matriz de Insumo-Produto do Nordeste. Dessa forma, mensurando os impactos individuais das atividades e posteriormente agregando-os foram encontrados os resultados para o Setor. De maneira geral, os citados resultados confirmaram que os recursos do FNE direcionados ao setor agroindustrial foram fundamentais para a economia nordestina, haja vista que, representando apenas 6,9% do total aplicado pelo citado Fundo na RegiÃo, impactaram na inserÃÃo de R$ 11,7 bilhÃes em Valor Bruto da produÃÃo, que por sua vez, se materializaram em incrementos no PIB da RegiÃo da ordem de R$ 5,9 bilhÃes e na criaÃÃo e manutenÃÃo, em mÃdia, de 15.145 postos de trabalho por ano, durante o perÃodo de anÃlise. O FNE foi responsÃvel ainda por impactos de R$ 1,7 bilhÃo na massa salarial e pela geraÃÃo de cerca de R$ 1,9 bilhÃo em receitas tributÃrias em favor da AdministraÃÃo PÃblica. Neste particular, os setores de FabricaÃÃo de aÃÃcar e FabricaÃÃo de celulose e Pasta mecÃnica foram os que apresentaram os maiores impactos e os melhores multiplicadores em praticamente todas as variÃveis estudadas. NÃo obstante os resultados mencionados, os elevados percentuais de transbordamento e baixos Ãndices puros de ligaÃÃo identificados evidenciaram o Nordeste como um comprador de produtos com maior valor agregado em relaÃÃo Ãqueles que ele vende, o que o torna um exportador de riqueza e tributos, assim como deficitÃrio em relaÃÃo à sua balanÃa comercial e significante dependente dos setores produtivos do restante do paÃs. / Evaluates the economical repercussions of FNE financing contracts in the agro industry sector during the period of 1989 to 2008, innovating, in relation to traditional assays, as it changes the focus analysis of the Programâs sphere to the scope of the characteristically activities of the sector. For doing so, it has been used as a tool for impact measurement, the recently up-to-date Northeast Input-output Matrix. Under this way, measuring the individual impacts of the activities and, afterward, aggregating them, there has been found the results for the Sector. Overall, the mentioned results confirmed that the FNE resources directed to the agribusiness sector have been fundamental to the northeastern economy, considering that, representing only 6,9% of the total applied by the mentioned Fund in the Region, it has impacted on the Gross Value insertion of R$ 11,7 billions in the production; which, for its turn, has been materialized in increments on the Regionâs PIB of about R$ 5,9 billions and in the creation and maintenance in an average of 15.145 work opportunities each year, during the analysis period. FNE has still been responsible for impacts of R$ 1,7 billion on the total wages and for the generation of around R$ 1,9 billion in tributary income in favor of the Public Administration. Regarding this, the sectors that manufacture sugar, and cellulose and mechanical paste have been the ones that presented the biggest impacts and the best multipliers in practically all the variables studied. In despite of the mentioned results, the elevated percentages of overflowing and low pure bonding indexes identified have evidenced the Northeast as a products buyer with a bigger aggregated value in relation to those to whom it sells, which is what turns it into an exporter of wealth and taxes, as well as an in deficit in relation to its trade balance and meaningful dependent on the productive sectors of the rest of the country.

The purpose of this work was to present and apply an analytical tool to the flows of goods and income between economic agents and the environment that allows us to calculate the Environmental Gross Domestic Product (EGDP) for Brazilian Legal Amazon. In order to achieve this goal the Environmental Social Accounting Matrix (ESAM) was developed. The model was developed from the traditional Social Accounting Matrix, the Environmental Input-Output Analysis Models, and from the United Nations handbook on the System of Integrated Environmental and Economic Accountings. The EGDP was calculated from the Environmental Input-Output Analysis, since the unavailability of data did not allow the application of the model of ESAM. The flows between the economy and the environment considered were the emissions of green house gases (depreciation of natural capital) and the investment needed to return the air to the same quality it had before being polluted. The results showed that the inclusion of depreciation of natural capital in the Gross Domestic Product (GDP) and in the added value (AV) calculation for each industry of the Brazilian Legal Amazon Region diminished the AV significantly in the industries of cattle (235%), soybean (77%), and other activities of livestock and agricultural (24%). In the Rest of Brazil, the industries with the highest impact of depreciation of natural capital on AV were soybean (30%), cattle (15%) and sugarcane (13%). The total EGDP of the Brazilian Legal Amazon Region was 15% smaller than its total GDP, whereas this difference for the rest of Brazil was 1%. Considering that the GDP is a component of economic wellbeing, the results show a significant reduction in economic wellbeing due to green house gas emissions released into the air by economic activities, mainly due to land use changes. The Environmental Social Accounting Matrix Model is a useful tool to help decision makers since it offers an analytical instrument for economic behavior and the impacts of economic activities on the environment. / The purpose of this work was to present and apply an analytical tool to the flows of goods and income between economic agents and the environment that allows us to calculate the Environmental Gross Domestic Product (EGDP) for Brazilian Legal Amazon. In order to achieve this goal the Environmental Social Accounting Matrix (ESAM) was developed. The model was developed from the traditional Social Accounting Matrix, the Environmental Input-Output Analysis Models, and from the United Nations handbook on the System of Integrated Environmental and Economic Accountings. The EGDP was calculated from the Environmental Input-Output Analysis, since the unavailability of data did not allow the application of the model of ESAM. The flows between the economy and the environment considered were the emissions of green house gases (depreciation of natural capital) and the investment needed to return the air to the same quality it had before being polluted. The results showed that the inclusion of depreciation of natural capital in the Gross Domestic Product (GDP) and in the added value (AV) calculation for each industry of the Brazilian Legal Amazon Region diminished the AV significantly in the industries of cattle (235%), soybean (77%), and other activities of livestock and agricultural (24%). In the Rest of Brazil, the industries with the highest impact of depreciation of natural capital on AV were soybean (30%), cattle (15%) and sugarcane (13%). The total EGDP of the Brazilian Legal Amazon Region was 15% smaller than its total GDP, whereas this difference for the rest of Brazil was 1%. Considering that the GDP is a component of economic wellbeing, the results show a significant reduction in economic wellbeing due to green house gas emissions released into the air by economic activities, mainly due to land use changes. The Environmental Social Accounting Matrix Model is a useful tool to help decision makers since it offers an analytical instrument for economic behavior and the impacts of economic activities on the environment.

The purpose of this work was to present and apply an analytical tool to the flows of goods and income between economic agents and the environment that allows us to calculate the Environmental Gross Domestic Product (EGDP) for Brazilian Legal Amazon. In order to achieve this goal the Environmental Social Accounting Matrix (ESAM) was developed. The model was developed from the traditional Social Accounting Matrix, the Environmental Input-Output Analysis Models, and from the United Nations handbook on the System of Integrated Environmental and Economic Accountings. The EGDP was calculated from the Environmental Input-Output Analysis, since the unavailability of data did not allow the application of the model of ESAM. The flows between the economy and the environment considered were the emissions of green house gases (depreciation of natural capital) and the investment needed to return the air to the same quality it had before being polluted. The results showed that the inclusion of depreciation of natural capital in the Gross Domestic Product (GDP) and in the added value (AV) calculation for each industry of the Brazilian Legal Amazon Region diminished the AV significantly in the industries of cattle (235%), soybean (77%), and other activities of livestock and agricultural (24%). In the Rest of Brazil, the industries with the highest impact of depreciation of natural capital on AV were soybean (30%), cattle (15%) and sugarcane (13%). The total EGDP of the Brazilian Legal Amazon Region was 15% smaller than its total GDP, whereas this difference for the rest of Brazil was 1%. Considering that the GDP is a component of economic wellbeing, the results show a significant reduction in economic wellbeing due to green house gas emissions released into the air by economic activities, mainly due to land use changes. The Environmental Social Accounting Matrix Model is a useful tool to help decision makers since it offers an analytical instrument for economic behavior and the impacts of economic activities on the environment. / The purpose of this work was to present and apply an analytical tool to the flows of goods and income between economic agents and the environment that allows us to calculate the Environmental Gross Domestic Product (EGDP) for Brazilian Legal Amazon. In order to achieve this goal the Environmental Social Accounting Matrix (ESAM) was developed. The model was developed from the traditional Social Accounting Matrix, the Environmental Input-Output Analysis Models, and from the United Nations handbook on the System of Integrated Environmental and Economic Accountings. The EGDP was calculated from the Environmental Input-Output Analysis, since the unavailability of data did not allow the application of the model of ESAM. The flows between the economy and the environment considered were the emissions of green house gases (depreciation of natural capital) and the investment needed to return the air to the same quality it had before being polluted. The results showed that the inclusion of depreciation of natural capital in the Gross Domestic Product (GDP) and in the added value (AV) calculation for each industry of the Brazilian Legal Amazon Region diminished the AV significantly in the industries of cattle (235%), soybean (77%), and other activities of livestock and agricultural (24%). In the Rest of Brazil, the industries with the highest impact of depreciation of natural capital on AV were soybean (30%), cattle (15%) and sugarcane (13%). The total EGDP of the Brazilian Legal Amazon Region was 15% smaller than its total GDP, whereas this difference for the rest of Brazil was 1%. Considering that the GDP is a component of economic wellbeing, the results show a significant reduction in economic wellbeing due to green house gas emissions released into the air by economic activities, mainly due to land use changes. The Environmental Social Accounting Matrix Model is a useful tool to help decision makers since it offers an analytical instrument for economic behavior and the impacts of economic activities on the environment.