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.

Made available in DSpace on 2017-07-10T18:33:27Z (GMT). No. of bitstreams: 1 Helder Henrique Martins.pdf: 1928250 bytes, checksum: e30a3f5049b0ca9ee0f9df01ce1f89e1 (MD5) Previous issue date: 2015-02-24 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The present study aims at analyzing Sugar and Alcohol Industries based on Brazil Input-Output Matrices (2000 and 2009). Taking this context into account, the indices for intersectorial linkages and the Field of Influence, the production multipliers, the generators and multipliers of employment and remuneration, as well as the Structural Decomposition of employment variation were estimated also analyzing the production, employment, and remuneration variables of both industries. This study allowed the conclusion that Sugar and Alcohol Industries cannot be framed into the category of key-sectors. However, such industries are important as input consumers from the other sectors. Another important aspect is the fact that even considering that the employment generators from the Sugar and the Alcohol Industries have recently lost positions in relation to the other sectors, both industries were able to generate jobs above the economic average. The sectors that mostly relate to the Sugar and the Alcohol Industries are the Agriculture and Services (Trading; Transportation, storage and shipping; Financial intermediation and insurance; Services rendered to the companies; Maintenance and repair, among others) mainly. / Tendo como base as matrizes insumo-produto do Brasil (2000 e 2009), é feito neste estudo uma análise das Indústrias do Açúcar e Álcool. Neste contexto, foram estimados o Campo de Influência e os índices de ligações intersetoriais, os multiplicadores de produção, os geradores e multiplicadores de emprego e remunerações, a Decomposição Estrutural da variação do emprego, analisando também as variáveis produção, emprego e remunerações de ambas as Indústrias. Este estudo permitiu concluir que as Indústrias do Açúcar e do Álcool não se enquadraram na categoria de setores-chave. Contudo, estas Indústrias são importantes como demandantes de insumos dos demais setores. Outro aspecto importante reside no fato de que mesmo que os geradores de emprego das Indústrias do Açúcar e do Álcool tenham perdido posições em relação aos demais setores, ambas conseguiram gerar empregos acima da média da economia. Os setores que mais se relacionam com as Indústrias do Açúcar e do Álcool são principalmente a Agricultura e Serviços (Comércio; Transporte, armazenagem e correio; Intermediação financeira e seguros; Serviços prestados às empresas; Serviços de manutenção e reparo, etc.).

Made available in DSpace on 2017-07-10T18:34:01Z (GMT). No. of bitstreams: 1 Jonhey N Lucizani.pdf: 1791032 bytes, checksum: 069201851120130c2792d3703a9f2000 (MD5) Previous issue date: 2012-09-06 / This work has prospected and analyzed the economic impacts of the Itaipu Technological Park (PTI), hereinafter referred to as impacts on income generation, production and jobs in the Parana, as the economy of the PTI. For this, we used the input-output matrix, using the search field in the PTI organizations to collect accounting information. This information led to the final demand by economic sector of the park, making it possible to design the input-output matrix. The results showed that as the value added to the economy of the PTI was R $ 27,186,350.04, with 55.5% went to employees, the final demand of the PTI was R $ 48,211,646.08, which enabled identify the income multipliers of the PTI is equal to 2.23, 1.52 employment and production equal to 2.28. The PTI was identified as a Park Structuring because accumulated regional experience and is intimately associated with the process of economic and technological development. / Este trabalho prospectou e analisou os impactos econômicos do Parque Tecnológico Itaipu (PTI), doravante denominado de impactos na geração de renda, produção e empregos na economia Paranaense, a partir da economia do PTI. Para isto, utilizou-se da matriz insumo-produto, utilizando pesquisa a campo nas organizações do PTI para coletar as informações contábeis. Estas informações geraram a demanda final do PTI por setor econômico, tornando-a possível projetar na matriz insumo produto. Os resultados apontaram que o valor adicionado do PTI para a economia foi de R$ 27.186.350,04, com 55,5 % foi destinado aos colaboradores, a demanda final do PTI foi R$ 48.211.646,08, a qual possibilitou identificar os multiplicadores de renda do PTI é igual a 2,23, emprego 1,52 e produção igual a 2,28. O PTI foi identificado como um Parque Estruturante, pois acumulou as experiências regionais e está intimamente associado ao processo de desenvolvimento econômico e tecnológico.

Στη παρούσα εργασία περιλαμβάνονται 4 ενότητες. Στην πρώτη ενότητα εισάγεται το θεωρητικό υπόβαθρο του προβλήματος που εξετάζεται, η περιγραφή του πίνακα εισροών-εκροών κατά Leontief, η μεθοδολογία της μήτρας των τεχνολογικών συντελεστών και της αντίστροφης μήτρας του Leontif. Στην δεύτερη ενότητα γίνεται μια εισαγωγή στους κλάδους κλειδιά και στους δείκτες οριζόντιων και κάθετων διασυνδέσεων. Επίσης παρουσιάζονται οι δείκτες chenery-watanabe, rasmussen, cuello et al (a) και cuello et al (b) και επιχειρείται μία αξιολόγηση-κριτική τους. Στην τρίτη ενότητα εξηγείται η διαδικασία συλλογής των δεδομένων και η συγκρότηση του πίνακα εισροών-εκροών(OECD). Επίσης παρουσιάζεται η ανάλυση των δεδομένων για τους δείκτες chenery-watanabe, rasmussen, cuello et al (a) και cuello et al (b) καθώς και η μεταξύ τους σύγκριση ως προς τους κλάδους κλειδιά. Τέλος, στην τέταρτη ενότητα παρουσιάζονται και αξιολογούνται τα συμπεράσματα της εργασίας. Οι δείκτες είναι ο λόγος του μέσου πολλαπλασιαστή της γραμμής (οριζόντιες διασυνδέσεις)-στήλης (κάθετες διασυνδέσεις) προς τον μέσο πολλαπλασιαστή του πίνακα. Ως κλάδοι-κλειδιά ορίζονται αυτοί όπου οι δείκτες των οριζόντιων και κάθετων διασυνδέων έχουν τιμές πάνω από την μονάδα. Ως κλάδοι κλειδιά με βάση την ανάλυση δεδομένων των μη σταθμισμένων δεικτών ορίζονται οι κλάδοι 7, 8, 9, 13, 18 και οι κλάδοι 11 (chenery-watanabe) και 15(rasmussen) ενώ με βάση την ανάλυση σταθμισμένων δεικτών είναι οι κλάδοι 1, 4, 5, 9, 30, 31, 32, 39, 44, 46 και 45 (cuello et al (a))και 13, 38 (cuello et al (b)).Στην συνέχεια γίνεται μία σύγκριση στα αποτελέσματα μεταξυ των σταθμισμένων και μη σταθμισμένων δεικτών στους κλάδους κλειδια με βάση ομοιότητες και διαφορές στις οριζόντιες και κάθετες διασυνδέσεις τους και εξάγονται συμπεράσματα. / The present paper includes 4 parts.The first part includes the theoritical background of the problem to be examined, the description of the input-output table by Leontief, the methodology of the technical coefficients matrix and the inverse Leontief matrix. In the second part is presented an introduction to the Key sectors and into the indices of forward and backward linkages. Moreover the Chenery-Watanabe, Rasmussen, Cuello et al (a) and Cuello et al (b) are presented and their evaluation and assessment is attempted. In the third part the procedure of the data collection is explained as well as the creation of the imput-output matrix (OECD). The analysis of the data coming from the indices chenery-watanabe, rasmussen, cuello et al (a) and cuello et al (b)is illustrated as well as their among comparison concerning the Key sectors. Finally in the fourth part the conclusions of the project are presented. The indices are a ratio of the average multiplier of the row(forward linkages)-colums (backward linkages) divided to the average multiplier of the table. The Key sectors are those whose indices which refer to the forward and backward linkages have result over the unit. As key sectors according to chenery-watanabe and rasmussen are the sectors 7, 8, 9, 13, 18 and the sector 11 (chenery-watanabe) and 15 (rasmussen)while according to the cuello at al (a) and cuello et al (b) are the sectors 1, 4, 5, 9, 30, 31, 32, 39, 44, 46 and 45 (cuello et al (a) and 13, 38 (cuello et al (b)). A comparison concerning the results among the indices, specially for key sectors is attempted, according to simmilarities and differances of the forward and backward linkages.