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The Forest Vegetation Simulator (FVS) is a growth and yield modeling system widely-used for predicting stand and tree-level attributes for management and planning applications in North American forests. The accuracy of FVS predictions for a range of tree and stand level attributes depends a great deal on the performance of the diameter increment model and its predictions of change in diameter at breast height (DBH) over time. To address the challenge of predicting growth in highly variable and geographically expansive forest systems, FVS was designed to include an internal calibration algorithm that makes use of growth observations, when available, from permanent inventory plots. The basic idea is that observed growth rates on a collection of remeasured trees are used to adjust or "calibrate" FVS diameter growth predictions. Therefore, DBH modeling was the focus of this investigation. Five methods were proposed for local calibration of individual tree DBH growth predictions and compared to two sets of results generated without calibration. Data from the US Forest Service's Forest Inventory and Analysis (FIA) program were used to test the methods for eleven widely-distributed forest tree species in Virginia. Two calibration approaches were based on median prediction errors from locally-observed DBH increments spanning a five year average time interval. Two were based on simple linear regression models fitted to the locally-observed prediction errors, and one method employed a mixed effects regression model with a random intercept term estimated from locally-observed DBH increments. Data witholding, specifically a leave-one-out cross-validation was used to compare results of the methods tested. Results showed that any of the calibration approaches tested in general led to improved accuracy of DBH growth predictions, with either of the median-based methods or regression based methods performing better than the random-effects-based approach. Equivalence testing showed that median or regression-based local calibration methods met error tolerances within ± 12% of observed DBH increments for all species with the random effects approach meeting a larger tolerance of ± 17%. These results showed improvement over uncalibrated models, which failed to meet tolerances as high as ± 30% for some species in a newly-fitted DBH growth model for Virginia, and as high as ± 170% for an existing model fitted to data from a much larger region of the Southeastern United States. Local calibration of regional DBH increment models provides an effective means of substantially reducing prediction errors when a relatively small set of observations are available from local sources such as permanent forest inventory plots, or the FIA database. / MS / The Forest Vegetation Simulator (FVS) is a growth and yield model widely-used for predicting stand dynamics, management and decision support in North American forests. Diameter increment is a major component in modeling tree growth. The system of integrated analytical tools in FVS is primarily based on the performance of the diameter increment model and the subsequent use of predicted in diameter at breast height (DBH) over time in forecasting tree attributes. To address the challenge of predicting growth in highly variable and geographically expansive forest systems, FVS was designed to include an internal calibration algorithm that makes use of growth observations, when available, from permanent inventory plots. The basic idea was that observed growth rates on a small set of remeasured trees are used to adjust or “calibrate” FVS growth predictions. The FVS internal calibration was the subject being investigated here. Five alternative methods were proposed attributed to a specific site or stand of interest and compared to two sets of results, which were based on median prediction errors, generated without calibration. Results illustrated that median-based methods or regression based methods performed better than the random-effects-based approach using independently observed growth data from Forest Service FIA re-measurements in Virginia. Local calibration of regional DBH increment models provides an effective means of substantially reducing prediction errors. The results of this study should also provide information to evaluate the efficiency of FVS calibration alternatives and a possible method for future implementation.

This dissertation examines urban growth patterns in the Roanoke, Virginia, metropolis. It draws on the literature of contemporary human ecology and social area analysis to examine the effects of low-density development on low-income populations and racial minorities. The continuous spread of residential development beyond the boundaries of the central city and older suburbs into more distant, once rural areas is segregating the metropolitan area by race and income. Since the prominence of the so-called "Chicago School" of urban sociology (1913-1940), contemporary urban sociologists have outlined theories and methods to examine how American urban areas have changed and why. This dissertation is not about urban problems and solutions. It is about familiarizing readers with the theories of human ecology and social area analysis and their utility for explaining contemporary urban spatial patterns. If we are to get better and more equitable metropolitan areas, we must find out what really creates our urban areas, physically, economically, and socially. We must reach a deeper understanding of the forces and processes that have shaped them. Finally, we must understand the social consequences to urban life, relative to concentration of poverty and racial minorities in central cities. Toward that end, this study uses the statistical techniques called Social Area Analysis and Factorial Ecology to examine and describe the social-spatial patterns of the Roanoke, Virginia, metropolis, focusing on poverty and race. Specifically, the study uses 1980, 1990 and 2000 census data and the U.S. Geologic Survey of Land Use Cover to compute the factor analysis, construct the Socio-Economic Status (SES) index, rank the metropolis' census tracts based on the SES factors and develop the ecological growth model for the Roanoke metropolis. The analyses of the SES areas reveal that the metropolis' growth model is a combination of Ernest Burgess' concentric zone theory and Harris and Ullman's multiple nuclei model. Ultimately, the significance of this study lies not in the creation of an alternative theory of urban spatial patterns, but as an opportunity to amend more traditional approaches of human ecology so as to include racial segregation and income polarization as influences on metropolitan spatial patterns, and to produce a more integrated and accurate theoretical framework. This dissertation is organized as follows: Chapter 1 provides a brief introduction to the study. In Chapter 2, relevant literature regarding urban spatial patterns and contemporary human ecology is reviewed. Chapter 3 provides a thorough explanation of the research methodology. In Chapter 4, the results of the social area analysis and factor analysis are presented. GIS maps are also used to show the SES areas or multiple spatial patterns in the metropolis, especially the areas of concentrated poverty and race. In Chapter 5, the evolution of the metropolis' growth pattern is reviewed, and a contemporary ecological growth model is developed for the Roanoke metropolis. This model is then compared against the traditional human ecology growth models, including concentric zone theory, sector model theory and multiple nuclei theory. Chapter 6 concludes with a brief discussion of the consequences of the metropolis' growth pattern and the utility of the human ecological perspective for explaining contemporary urban spatial patterns, and suggestions for further research.

This thesis studies the effect of generosity of unemployment insurance on economic growth. More generous unemployment insurance is argued to cause an increase in unemployment on the one hand and better job match quality on the other. Our model shows that in the developed countries, there may be some level of unemployment insurance which ensures that the productivity gain offsets the loss due to higher unemployment. On the contrary, in the developing countries, any level of unemployment insurance was revealed to harm economic growth. Moreover, we present strong evidence in favour of a positive effect of unemployment insurance on the aggregate productivity growth. Key words: Unemployment Insurance, Distance to Frontier, Endogenous Growth Model, Technology Growth, Economic Growth

A disponibilidade de recursos, tanto de ordem financeira quanto de mão-de-obra, é escassa. Sendo assim, deve-se incentivar o planejamento regional que minimize a utilização de recursos. A previsão de safra por intermédio de técnicas de modelagem deve ser realizada anteriormente com base nas características regionais, indicando assim as diretrizes básicas da pesquisa, bem como o planejamento regional. Dessa forma, os objetivos deste trabalho são: (i) caracterizar as variáveis do clima por intermédio de diferentes distribuições de probabilidade; (ii) verificar a homogeneidade espacial e temporal para as variáveis do clima; (iii) utilizar a distribuição normal bivariada para simular parâmetros utilizados na estimação de produtividade da cultura de soja; e (iv) propor um modelo para estimar a ordem de magnitude da produtividade potencial (dependente da interação genótipo, temperatura, radiação fotossinteticamente ativa e fotoperíodo) e da produtividade deplecionada (dependente da podutividade potencial, da chuva e do armazenamento de água no solo) de grãos de soja, baseados nos valores diários de temperatura, insolação e chuva, para o estado de São Paulo. As variáveis utilizadas neste estudo foram: temperatura média, insolação, radiação solar fotossinteticamente ativa e precipitação pluvial, em escala diária, obtidas em 27 estações localizadas no Estado de São Paulo e seis estações localizadas em Estados vizinhos. Primeiramente, verificou-se a aderência das variáveis a cinco distribuições de probabilidade (normal, log-normal, exponencial, gama e weibull), por intermédio do teste de Kolmogorov-Smirnov. Verificou-se a homogeneidade espacial e temporal dos dados por intermédio da análise de agrupamento pelo método de Ward e estimou-se o tamanho de amostra (número de anos) para as variáveis. A geração de números aleatórios foi realizada por intermédio do método Monte Carlo. A simulação dos dados de radiação fotossinteticamente ativa e temperatura foram realizadas por intermédio de três casos (i) distribuição triangular assimétrica (ii) distribuição normal truncada a 1,96 desvio padrão da média e (iii) distribuição normal bivariada. Os dados simulados foram avaliados por intermédio do teste de homogeneidade de variância de Bartlett e do teste F, teste t, índice de concordância de Willmott, coeficiente angular da reta, o índice de desempenho de Camargo (C) e aderência à distribuição normal (univariada). O modelo utilizado para calcular a produtividade potencial da cultura de soja foi desenvolvido com base no modelo de De Wit, incluindo contribuições de Van Heenst, Driessen, Konijn, de Vries, dentre outros. O cálculo da produtividade deplecionada foi dependente da evapotranspiração potencial, da cultura e real e coeficiente de sensibilidade a deficiência hídrica. Os dados de precipitação pluvial foram amostrados por intermédio da distribuição normal. Sendo assim, a produção diária de carboidrato foi deplecionada em função do estresse hídrico e número de horas diárias de insolação. A interpolação dos dados, de modo a englobar todo o Estado de São Paulo, foi realizada por intermédio do método da Krigagem. Foi verificado que a maior parte das variáveis segue a distribuição normal de probabilidade. Além disso, as variáveis apresentam variabilidade espacial e temporal e o número de anos necessários (tamanho de amostra) para cada uma delas é bastante variável. A simulação utilizando a distribuição normal bivariada é a mais apropriada por representar melhor as variáveis do clima. E o modelo de estimação das produtividades potencial e deplecionada para a cultura de soja produz resultados coerentes com outros resultados obtidos na literatura. / The availability of resources, as much of financial order and human labor, is scarse. Therefore, it must stimulates the regional planning that minimizes the use of resources. Then, the forecast of harvests through modelling techniques must previously on the basis of be carried through the regional characteristics, thus indicating the routes of the research, as well as the regional planning. Then, the aims of this work are: (i) to characterize the climatic variables through different probability distributions; (ii) to verify the spatial and temporal homogeneity of the climatic variables; (iii) to verify the bivaried normal distribution to simulate parameters used to estimate soybean crop productivity; (iv) to propose a model of estimating the magnitud order of soybean crop potential productivity (it depends on the genotype, air temperature, photosynthetic active radiation; and photoperiod) and the depleted soybean crop productivity (it pedends on the potential productivity, rainfall and soil watter availability) based on daily values of temperature, insolation and rain, for the State of São Paulo. The variable used in this study had been the minimum, maximum and average air temperature, insolation, solar radiation, fotosynthetic active radiation and pluvial precipitation, in daily scale, gotten in 27 stations located in the State of São Paulo and six stations located in neighboring States. First, it was verified tack of seven variables in five probability distributions (normal, log-normal, exponential, gamma and weibull), through of Kolmogorov-Smirnov. The spatial and temporal verified through the analysis of grouping by Ward method and estimating the sample size (number of years) for the variable. The generation of random numbers was carried through the Monte Carlo Method. The simulation of the data of photosyntetic active radiation and temperature had been carried through three cases: (i) nonsymetric triangular distribution (ii) normal distribution truncated at 1.96 shunting line standard of the average and (iii) bivaried normal distribution. The simulated data had been evaluated through the test of homogeneity of variance of Bartlett and the F test, t test, agreement index of Willmott, angular coefficient of the straight line, the index of performance index of Camargo (C) and tack the normal distribution (univarieted). The proposed model to simulate the potential productivity of soybean crop was based on the de Wit concepts, including Van Heenst, Driessen, Konijn, Vries, and others researchers. The computation of the depleted productivity was dependent of the potential, crop and real evapotranspirations and the sensitivity hydric deficiency coefficient. The insolation and pluvial precipitation data had been showed through the normal distribution. Being thus, the daily production of carbohydrate was depleted as function of hydric stress and insolation. The interpolation of the data, in order to consider the whole State of Sao Paulo, was carried through the Kriging method. The results were gotten that most of the variable can follow the normal distribution. Moreover, the variable presents spatial and temporal variability and the number of necessary years (sample size) for each one of them is sufficiently changeable. The simulation using the bivaried normal distribution is most appropriate for better representation of climate variable. The model of estimating potential and depleted soybean crop productivities produces coherent values with the literature results.

Com os objetivos de (i) elaborar uma adaptação do método da zona agroecológica, proposto por De Wit, para estimar a produtividade potencial e deplecionada da cultura de milho, utilizando procedimento estocástico, no Rio Grande do Sul; e de (ii) testar procedimentos estocásticos (distribuição normal truncada, triangular assimétrica e triangular simétrica) para simular dados de temperatura e de insolação para estimar produtividade potencial e deplecionada da cultura de milho, foi desenvolvida uma metodologia computacional. A quantidade de energia solar disponível às plantas (em função da latitude, declinação solar e nebulosidade), bem como a capacidade de sua conversão em fotossintetizado, contabilizado em termos de carboidrato, possibilita prever produtividade potencial de grãos de milho. Sem limitação de água no solo, o CO2 assimilado é convertido em massa de carboidrato em função do índice de área foliar (IAF), temperatura, radiação solar absorvida. fotoperíodo e duração do ciclo. Considerando os fatores de correção quanto à respiração e ao IAF, pode-se transformar a massa de carboidrato total final em massa de matéria seca referente a cada órgão (folha, raiz, colmo e órgão reprodutivo), considerando-se as partições de fotoassimilados e a composição da matéria seca. A produtividade potencial (PP) foi calculada com base na fitomassa seca total, no índice de colheita e no teor de água nos grãos. O balanço hídrico cíclico (Thornthwaite & Mather, 1955) foi utilizado para estimar o armazenamento de água no solo no decêndio que antecede a semeadura de milho. O balanço hídrico seqüencial, com variação do coeficiente de cultivo (Kc), foi utilizado para estimar a evapotranspiração da cultura (ETc) e a real (ETr). A produtividade deplecionada foi estimada a partir dos valores de PP, ETr, ETc e do coeficiente de resposta da cultura (Ky). Os dados climáticos de 16 municípios no Rio Grande do Sul, a capacidade de água dispoível (50 mm) e procedimentos estocásticos (distribuição normal truncada, triangular assimétrica e triangular simétrica para simular dados de temperatura e de insolação), foram usados para estimar PP e deplecionada para cada localidade, em diferentes épocas de semeadura. Com base nos resultados obtidos, conclui-se que: (i) a adaptação do método da zona agroecológica possibilita definir a ordem de grandeza das PP e deplecionada da cultura de milho, e produziu resultados coerentes com valores citados na literatura, identificando a melhor época de semeadura, e (ii) o procedimento estocástico pode ser utilizado nos seguintes casos: quando se dispõe de uma série histórica de temperatura, utiliza-se a distribuição normal truncada; quando não se dispõe de uma série histórica utiliza-se a distribuição triangular assimétrica, preferencialmente, ou a distribuição triangular simétrica. / With de purpose of (i) adapting of the agroecological zone method, proposed by De Wit, to estimate potential and depleted corn crop productivity, using stochastic procedure, in the Rio Grande do Sul State, Brazil; and (ii) testing stochastic procedures (normal, and symmetric and non-symmetric distributions) to simulate air temperature and insolation data to estimate potential and depleted corn crop productivity, was developed a computational methodology. The amount of available solar energy to the plants (as function of the latitude, solar declination and cloudiness), as well as the capacity of energy conversion in photosyntates, computed in terms of carbohydrate, makes it possible to forecast corn productivity. Without soil water shortage the assimilated CO2 can be converted in mass of carbohydrate as a function of leaf area index (LAI), air temperature, absorbed solar radiation, photoperiod and cycle duration. Considering the correction factors related to respiration and LAI, this value can be converted into mass of carbohydrate, per hectare, produced during the cycle. To transform carbohydrate mass in dry biomass referring to each organ (leaf, root, stem and reproductive organs), the assimilates partition and dry matter composition. The potential productivity (PP) was computed using the total dry mass, harvest index and the grain water content. The water balance (Thornthwaite & Mather, 1955) was used to estimate the amount of soil water in the period before corn crop sowing date. The sequential water balance, with temporal variation of crop coefficient (Kc), was used to estimate crop (ETc) and actual (ETr) evapotranspirations. The depleted productivity was estimated using PP, ETr, ETc and the yield response factor (Ky) values. The climatic data of 16 counties in the Rio Grande do Sul State, the soil water holding capacity (50 mm) and stochastic procedures (normal and triangular distributions to simulate air temperature and insolation) were used to estimate PP and depleted corn productivity for each local in different sowing dates. The following conclusions can be reported: (i); the adaptation of the agroecological zone method allowed to calculate the PP and depleted productivity with coherent productivity values, as well as it identifies the best sowing date; and (ii) the stochastic procedure can be used in the following cases: the normal distribution approach can be utilized when air temperature historic series is available; and the triangular distribution (non-symmetric triangular distribution is preferable in relation to symmetric distribution) approach can be used when there is no historic series.

Com os objetivos de (i) elaborar uma adaptação do método da zona agroecológica, proposto por De Wit, para estimar a produtividade potencial e deplecionada da cultura de milho, utilizando procedimento estocástico, no Rio Grande do Sul; e de (ii) testar procedimentos estocásticos (distribuição normal truncada, triangular assimétrica e triangular simétrica) para simular dados de temperatura e de insolação para estimar produtividade potencial e deplecionada da cultura de milho, foi desenvolvida uma metodologia computacional. A quantidade de energia solar disponível às plantas (em função da latitude, declinação solar e nebulosidade), bem como a capacidade de sua conversão em fotossintetizado, contabilizado em termos de carboidrato, possibilita prever produtividade potencial de grãos de milho. Sem limitação de água no solo, o CO2 assimilado é convertido em massa de carboidrato em função do índice de área foliar (IAF), temperatura, radiação solar absorvida. fotoperíodo e duração do ciclo. Considerando os fatores de correção quanto à respiração e ao IAF, pode-se transformar a massa de carboidrato total final em massa de matéria seca referente a cada órgão (folha, raiz, colmo e órgão reprodutivo), considerando-se as partições de fotoassimilados e a composição da matéria seca. A produtividade potencial (PP) foi calculada com base na fitomassa seca total, no índice de colheita e no teor de água nos grãos. O balanço hídrico cíclico (Thornthwaite & Mather, 1955) foi utilizado para estimar o armazenamento de água no solo no decêndio que antecede a semeadura de milho. O balanço hídrico seqüencial, com variação do coeficiente de cultivo (Kc), foi utilizado para estimar a evapotranspiração da cultura (ETc) e a real (ETr). A produtividade deplecionada foi estimada a partir dos valores de PP, ETr, ETc e do coeficiente de resposta da cultura (Ky). Os dados climáticos de 16 municípios no Rio Grande do Sul, a capacidade de água dispoível (50 mm) e procedimentos estocásticos (distribuição normal truncada, triangular assimétrica e triangular simétrica para simular dados de temperatura e de insolação), foram usados para estimar PP e deplecionada para cada localidade, em diferentes épocas de semeadura. Com base nos resultados obtidos, conclui-se que: (i) a adaptação do método da zona agroecológica possibilita definir a ordem de grandeza das PP e deplecionada da cultura de milho, e produziu resultados coerentes com valores citados na literatura, identificando a melhor época de semeadura, e (ii) o procedimento estocástico pode ser utilizado nos seguintes casos: quando se dispõe de uma série histórica de temperatura, utiliza-se a distribuição normal truncada; quando não se dispõe de uma série histórica utiliza-se a distribuição triangular assimétrica, preferencialmente, ou a distribuição triangular simétrica. / With de purpose of (i) adapting of the agroecological zone method, proposed by De Wit, to estimate potential and depleted corn crop productivity, using stochastic procedure, in the Rio Grande do Sul State, Brazil; and (ii) testing stochastic procedures (normal, and symmetric and non-symmetric distributions) to simulate air temperature and insolation data to estimate potential and depleted corn crop productivity, was developed a computational methodology. The amount of available solar energy to the plants (as function of the latitude, solar declination and cloudiness), as well as the capacity of energy conversion in photosyntates, computed in terms of carbohydrate, makes it possible to forecast corn productivity. Without soil water shortage the assimilated CO2 can be converted in mass of carbohydrate as a function of leaf area index (LAI), air temperature, absorbed solar radiation, photoperiod and cycle duration. Considering the correction factors related to respiration and LAI, this value can be converted into mass of carbohydrate, per hectare, produced during the cycle. To transform carbohydrate mass in dry biomass referring to each organ (leaf, root, stem and reproductive organs), the assimilates partition and dry matter composition. The potential productivity (PP) was computed using the total dry mass, harvest index and the grain water content. The water balance (Thornthwaite & Mather, 1955) was used to estimate the amount of soil water in the period before corn crop sowing date. The sequential water balance, with temporal variation of crop coefficient (Kc), was used to estimate crop (ETc) and actual (ETr) evapotranspirations. The depleted productivity was estimated using PP, ETr, ETc and the yield response factor (Ky) values. The climatic data of 16 counties in the Rio Grande do Sul State, the soil water holding capacity (50 mm) and stochastic procedures (normal and triangular distributions to simulate air temperature and insolation) were used to estimate PP and depleted corn productivity for each local in different sowing dates. The following conclusions can be reported: (i); the adaptation of the agroecological zone method allowed to calculate the PP and depleted productivity with coherent productivity values, as well as it identifies the best sowing date; and (ii) the stochastic procedure can be used in the following cases: the normal distribution approach can be utilized when air temperature historic series is available; and the triangular distribution (non-symmetric triangular distribution is preferable in relation to symmetric distribution) approach can be used when there is no historic series.

Made available in DSpace on 2016-04-28T14:56:37Z (GMT). No. of bitstreams: 1 2009 - Tokitika Morokawa.pdf: 5650089 bytes, checksum: a8d1865101e3a9effdd865554b069415 (MD5) Previous issue date: 2009-02-05 / A model of the growth dynamics of forests was developed applying Bertalanffy growth model (BGM) y=a[(1 e bt)c] for individual trees. Based on linearized relationship with diameter and height equation LnH=b0+LnD and volume equation V=b0Db1Hb2 mutually compatible equations for diameter, basal area, height and volume were generated, adjusting parameters a and c of BGM. Additionally, it was developed a methodology based on DBH measurements in two occasions and the estimate value of parameter a to get the values of parameter c and b of BGM. The data of the inventory of 1,061 trees over 40cm DBH of 67.5 hectares of tropical rain forest of Aquariquara Extractive Reserve, located in State of Rondonia, Brazil, were used to test the developed model. These data were grouped in nine maximum diameter (Dmax) classes. The tree survival was estimated based on the frequency of trees by relative age class. The input and output of each tree was adjusted considering a closed and stable population with replacement of a dead tree by the ingrowth of the same specie of tree with 40cm DBH. Applying the model to such data and simulating the growth dynamics of the forest in a time frame of 1500 years (T1 → 1,500), the difference of simulated annual average, in relation to the observed values in the year T0 of the forest inventory was -2.09% in age, -0.33% in height, -0.96% in diameter, -3.41% in basal area, -3.81% in volume and +1.81% in merchantable trees value. The average values of T1→500, T501→1000 and T1001→1500 periods were equal for all variables by Kruskal-Wallis test (p=0.05). The simulation showed that one hectare of this forest maintains a total stock composed of 15.72 120-year-old trees, accumulated 4.35m2 of basal area and 37.98m3 wood volumes on average. The annual input flow of the system was 0.3457 88-year-old trees which accumulated 0.0441m2 of basal area and volume of 0.3265m3. The output of the system consists of 0.3459 132-year-old trees totaling 0,1127m2 of basal area and 0.9911m3 in volume. The annual input and output rates were, respectively, 2.20 and 2.20% in number of trees, 1.01 and 2.59% in basal area and 0.86 and 2.61% in volume. In addition, the simulation indicated that it is possible to sustain an average annual production of 0.5528m3 of merchantable timber generating R$5.50 (about US$1.49) annual income per hectare of forest. The simulation showed that the model developed describes growth dynamics of tropical forest. However, it needs to be properly adjusted based on real growth of each individual tree and flows of input and output of trees in the system. / Nesta tese foi desenvolvida a modelagem da din?mica de crescimento de uma floresta, aplicando-se o modelo de crescimento de Bertalanffy (MCB) y=a[(1 e bt)c] para ?rvores individuais. Baseando-se nas rela??es linearizadas entre o di?metro e altura da equa??o LnH=b0+LnD e do di?metro com volume V=b0Db1Hb2 foram geradas equa??es de crescimento reciprocamente compat?veis entre di?metro, ?rea basal, altura e volume, ajustando-se os valores dos coeficientes a e c do MCB. Adicionalmente, foi desenvolvida metodologia, baseando-se em medi??es de DAP de cada ?rvore em duas ocasi?es e com a estimativa do coeficiente a, para obter os valores dos coeficientes c e b do MCB. Para testar o modelo desenvolvido foram utilizados numa simula??o os dados de invent?rio de 1.061 ?rvores, com DAP≥40cm, de uma ?rea de 67,5ha de Floresta Omb?fila Aberta da Reserva Extrativista Aquariquara, localizada no munic?pio de Machadinho D?Oeste, estado de Rond?nia. Estes dados foram agrupados em nove classes de di?metro m?ximo (Dmax) compreendidas entre 50 e 240cm, mantendo-se uma amplitude entre elas de 10cm. A taxa de sobreviv?ncia da ?rvore foi estimada baseando-se na freq??ncia de ?rvores por classe de idade relativa. O sistema de entrada (input) e sa?da (output) de cada ?rvore foi ajustado considerando uma popula??o fechada e est?vel com substitui??o de uma ?rvore morta pela entrada de ?rvore da mesma esp?cie com DAP≥40cm. Em rela??o aos valores observados no ano T0 do invent?rio florestal, as m?dias anuais dos valores simulados da din?mica de crescimento dessa floresta num horizonte temporal de 1.500 anos (T1→1.500), apresentaram diferen?as m?dias de -2,09% em idade, -0,33% em altura, -0,96% em di?metro, -3,41% em ?rea basal, -3,81% em volume e +1,81% em valor da ?rvore em p?. As m?dias anuais dos valores simulados dos per?odos T1→500, T501→1.000 e T1.001→1.500 foram iguais para todas as vari?veis pelo teste de repetibilidade de Kruskal-Wallis (p=0,05), mostrando que o modelo ? est?vel no tempo. A simula??o mostrou que esta floresta mantem em m?dia um estoque total de massa em crescimento composta de 15,72 ?rvores.ha-1 com 120 anos de idade acumulando um total de 4,35m2.ha-1 de ?rea basal e 37,98m3.ha-1 de volume de madeira. O fluxo anual de ingresso no sistema foi de 0,3457 ?rvores com 88 anos de idade que somaram 0,0441m2 de ?rea basal e 0,3265m3 de volume, e de sa?da do sistema composto de 0,3459 ?rvores com 132 anos de idade que somaram 0,1127m2 de ?rea basal e 0,9911m3 de volume por hectare, resultando em taxas de ingressos e sa?das anuais, respectivamente, de 2,20 e 2,20% em n?mero de ?rvores, 1,01 e 2,59% em ?rea basal e 0,86 e 2,61% em volume. Al?m disso, a simula??o indicou que ? poss?vel sustentar uma produ??o m?dia anual de 0,5528m3 de madeira de valor comercial gerando renda anual de R$5,50 por hectare (a pre?o corrente de outubro de 2002) de floresta. A simula??o mostrou que o modelo desenvolvido descreve a din?mica de crescimento de floresta tropical, por?m ele necessita ser devidamente calibrado tomando os dados de crescimento real de cada ?rvore individual e dos fluxos de ingressos e sa?das de ?rvores do sistema.

A maioria dos trabalhos sobre o impacto macroeconômico da abertura da conta de capital não encontra nenhum efeito da liberalização sobre as variáveis reais. No entanto, uma leitura cuidadosa desta literatura revela que a maioria destes estudos não trata realmente da teoria que se propõe a testar. Aqueles que defendem um impacto positivo da liberalização financeira sobre o crescimento econômico aceitam as previsões do modelo de crescimento neoclássico de redução permanente no custo do capital e aumento temporário no investimento nos mercados emergentes, quando estes liberalizam suas contas de capital. A maior parte dos artigos que não encontram efeitos da liberalização sobre as variáveis reais não testa estas previsões. Uma ramificação pequena, mas crescente, desta literatura sobre a relação entre liberalização da conta de capital e crescimento econômico, que leva em conta a natureza temporal das previsões do modelo neoclássico (os artigos que adotam o chamado enfoque do experimento de política), encontra evidências de que a abertura da conta de capital em um país emergente gera efeitos significativos sobre o investimento e crescimento econômico. A desagregação dos dados, ou seja, a aplicação do enfoque do experimento de política a dados de firmas, fornece uma ligação mais forte com a teoria e graus de liberdade suficientes para se adotar uma nova estratégia de identificação que permite testar a eficiência na alocação dos recursos dentro do país em desenvolvimento que abriu sua conta de capital. O objetivo desta dissertação é tratar das teorias e evidências do impacto da liberalização da conta de capital nos países emergentes sobre o crescimento de suas economias, analisando-se as metodologias empíricas existentes aplicadas no teste desta relação, enfatizando as teorias que dão suporte a seus testes empíricos, bem como suas principais descobertas. Os efeitos da abertura da conta de capital no Brasil, na década de 90, serão analisados, utilizando-se uma estratégia de identificação recente a partir de dados de firmas, para se checar a validade empírica das previsões do modelo de crescimento neoclássico nesta situação. / Most writings on the macroeconomic impact of capital account openness find no effects of liberalization on real variables. However, a critical reading of this literature reveals that most of these studies do not really address the theory they set out to test. Those who defend a positive impact of financial liberalization on economic growth accept the neoclassical growth model’s predictions of permanent reduction on the cost of capital and temporary increase in investment in emerging markets when they liberalize their capital account. The lion’s share of papers that find no effect of liberalization on real variables do not test these predictions. A small but growing branch of this literature on the relationship between capital account liberalization and economic growth that takes the time series nature of the neoclassical model’s predictions seriously (papers that adopt the policy-experiment approach) find that opening the capital account within an emerging country generates significant effects on investment and economic growth. Disaggregating the data, that is to say, applying the policy-experiment approach to firm-level data, provides a tighter link to the theory than aggregate data and enough degrees of freedom to adopt a new identification strategy that allows of the test on the efficiency of capital allocation within the developing country that opened its capital account. The objective of this dissertation is to address the theories and evidences of the impact of capital account liberalization in emerging countries on their economic growth, analyzing the existing empirical methodologies applied to test this relationship, emphasizing the theories that support their empirical tests as well as their main findings. The effects of capital account opening in Brazil, in the 90’s, will be analyzed, using the recent firm-level data identification strategy, to check the empirical validity of the neoclassical growth model’s predictions in this situation.

Dans cette thèse nous examinons différents aspects des fluctuations dans les économies émergentes. Premièrement, afin d’établir les régularités empiriques de ces pays nous examinons le contexte économique des pays du Moyen Orient et d’Afrique du Nord. Ensuite, nous estimons un modèle des cycles réels pour essayer de reproduire les faits stylisés de ces pays, mais aussi pour évaluer la performance de ces modèles néoclassiques augmentés de deux types de chocs de productivité transitoire et permanent. Ceci fait l’objet du chapitre 2 dont le résultat est en faveur de l'hypothèse "Le cycle c'est la tendance" . Le deuxième aspect porte sur l’importance des frictions financières, il est traité dans le troisième chapitre qui introduit des chocs financiers au modèle de croissance stochastique. Nous identifions le rôle des frictions financières dans l’économie tunisienne comme étant un amplificateur de l’effet des chocs de productivité. Le quatrième chapitre porte sur l'analyse de la politique monétaire. Premièrement, nous examinons le régime de ciblage d’inflation où nos résultats empiriques supportent une implémentation de la stricte version du ciblage d’inflation avec une fonction de réaction basée sur des prévisions de l'inflation. Deuxièmement, nous exploitant les règles monétaires optimales en présence de la rigidité d l'information dans le cadre d’un modèle stochastique d’équilibre général (DSGE). Nos résultats, révèlent que les chocs du taux de marge de la force de travail jouent un rôle important dans les fluctuations de l’économie tunisienne, la règle de Taylor produit un taux satisfaisant de bien être, alors que les règles qui ciblent le niveau de prix ne sont pas efficaces. / This thesis investigates different aspects of the fluctuations in emerging economies. First, it examines the MENA countries’ context to establish the empirical regularities. Then, to replicate the MENA countries’ business cycle patterns observed in the annual data, we estimate a standard real business cycle (RBC) model to assess the performance of the neoclassical model with transitory and permanent shocks. This is the purpose of chapter 2 which results support the assumption "The cycle is the trend". The second aspect refers to the importance of financial frictions and is addressed in the third chapter which adds new financial shocks to the stochastic growth model. We determine the role of financial frictions in the Tunisian economy not as the source of business cycle fluctuations but as an amplifier of the effects of total factor of productivity shocks.The fourth chapter analyzes monetary policy in emerging economies. Firstly, we examine the inflation targeting regime under the lens of a New Keynesian forward-looking model. We also, estimate a Taylor rule and some other alternatives in order to determine which rule to adopt within this framework. Empirical results support the implementation of a strict inflation targeting regime, with an inflation forecast based rule as a reaction function. Secondly, we explore the optimal monetary policy rules using a New Keynesian DSGE model. In particular we assume that information stickiness as the only type of rigidity in the model. We find that Whereas, Taylor rule in its original version provides substantial welfare gains, price-level targeting regime was suboptimal.