860 resultados para Complexity economics


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Through deductions and formulations of the equations governing the behavior of plates elastic and thin based Kirchhoff theory, it is evident that it is justifiable to the complication of the numerical methods considering the complexity of the equations that describe the physical behavior of these elements and obtaining analytical solutions for specific situations. This study is directed to the application of the numerical method which is based on discretizations to the simplest elements which results in the reduction of data to be processed from. The numerical method in question is the Boundary Element Methods (BEM), as the name suggests, the discretizations are only the edges of the elements. The BEM converts the complex integral equations, in sums of functions that reduce the unknowns at the nodes that define the ends of discrete elements, obtaining internal values to elements using interpolation functions. Confirming the need and usefulness of the BEM, apply, then the foundations necessary to the specific cases of Civil Engineering where traditional methods do not provide the desired support, leaving in question the security situations and economics of the projects

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The oil market is not a common market, and its complexity increases dramatically when considering the strategic and geopolitical involved, thus resulting in large uncertainties and concerns. The attempt to control prices has always been a challenge for the major world powers, since the increase in oil prices benefits the exporting countries, but harms importers, especially those regarded as less developed. Understand and try to predict some strategies adopted up the oil crises is one of the main points of the research, in order to demonstrate how economics can be used as an instrument of power and domination between nations, and how plans and strategies and rearrangements of supply and demand favor the growth of this economy, especially in the current period, with the new Brazilian oil era, beginning with the discovery of pre-salt, amid a context of growing need for the use of oil and its derivatives

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Pós-graduação em Economia - FCLAR

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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AIM: The purpose of this study was to examine the effect of intensive practice in table-­tennis on perceptual, decision-­making and motor-­systems. Groups of elite (HL=11), intermediate (LL=6) and control (CC=11) performed tasks of different levels. METHODS: All subjects underwent to reaction-­time-­test and response-­time-­test consisting of a pointing task to targets placed at distinct distances (15 and 25-­cm) on the right and left sides. The ball speed test in forehand and backhand condition just for HL and LL group. RESULTS: In CC group reaction time was higher compared to HL (P< 0.05) group. In the response-­time-­test, there was a significant main effect of distance (P< 0.0001) and the tennis-­table expertise (P= 0.011). In the ball speed test the HL were constantly faster compared to the LL in both forehand stroke (P< 0.0001) and backhand stroke (P< 0.0001). Overall, the forehand stroke was significantly faster than the backhand stroke. CONCLUSION: We can conclude that table-­tennis-­players have shorter response-­times than non-­athletes and the tasks of reaction-­time and response-­time are incapable to distinguish the performance of well-­trained table tennis players of the intermediate player, but the ball speed test seems be able to do it.

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This collection is a valuable source on home economics history in South Carolina during the twentieth century. While there is information on the SCHEA from its beginning in 1914 to 1980, the actual records do not start until 1920. An outline of what the South Carolina Home Economics Association was doing from 1914 to 1920, is provided in the “historical file” (see Box 1, folders 1 to 4). The inclusive dates for a particular series may vary and, for most series, the records are incomplete. The collection contains all the records normally created by an organization, including constitutions, correspondence, minutes, reports, handbooks, etc. A wide variety of research topics could be developed from the records, including the SCHEA’s impact on the legislative process in South Carolina (e.g. the passage of the bill for the enrichment of cornmeal and grits in 1943), its cooperation and relationship with relief agencies in the state and its role in improving child health during the 1930s.

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The spread of infectious disease among and between wild and domesticated animals has become a major problem worldwide. Upon analyzing the dynamics of wildlife growth and infection when the diseased animals cannot be identified separately from healthy wildlife prior to the kill, we find that harvest-based strategies alone have no impact on disease transmission. Other controls that directly influence disease transmission and/or mortality are required. Next, we analyze the socially optimal management of infectious wildlife. The model is applied to the problem of bovine tuberculosis among Michigan white-tailed deer, with non-selective harvests and supplemental feeding being the control variables. Using a two-state linear control model, we find a two-dimensional singular path is optimal (as opposed to a more conventional bang-bang solution) as part of a cycle that results in the disease remaining endemic in the wildlife. This result follows from non-selective harvesting and intermittent wildlife productivity gains from supplemental feeding.

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This dissertation studies environmental regulation issues in the hog production industry as well as forces behind the reorganization of the industry during the past two decades. Federal and State-level environmental regulations imposed on U.S. hog production during the year 2003 are examined in Chapter 1. Based on the number of regulations passed by the Federal government and states, the 2003 regulatory index is constructed. The regulatory stringency index suggests that state-level regulations vary across states and have increased over the years. In addition, state-level regulations are more stringent than federal regulations. Chapter 2 develops an empirically implementable theoretical model which allows us to investigate the long-run effects of environmental regulations on the U.S. hog industry. Hog feeding operations (HFOs) are divided into large feeding operations (LHFOs) and small feeding operations (SHFOs). The impact of the presence of a large number of LHFOs on the entry and exit of CHFOs is also examined. Results of this study suggest that: Increased state-level regulation stringency significantly lowers the output of SHFOs; increased state-level regulation stringency significantly lowers the output of LHFOs; increased state-level regulation stringency significantly lowers the number of SHFOs; SHFO output rises significantly in states that have a greater number of LHFOs; LHFO output rises significantly in states that have a greater number of LHFOs; the number of SHFOs significantly increases in states that have a greater numbers of LHFOs; regulation increases the average SHFO size; and regulation decreases the average LHFO size. Chapter 3 examines the importance of input availability, market attractiveness, agglomeration economies and environmental regulations on the reorganization of U.S. hog production for a panel of 22 U.S. hog producing states which include, Northern states, Southern states and Midwest states for the period 1994-2006. Results from this study suggest that: Hog production in a state is positively affected by hog production in a nearby state, confirming the presence of agglomeration economies; Environmental regulations and high corn price have negative effects on state-level U.S. hog production; High hog prices, and favorable labor cost, and land values attract hog production; and transportation cost has no effect on hog production. Advisors: Azzeddine Azzam and Karina Schoengold

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Stabilizing human population size and reducing human-caused impacts on the environment are keys to conserving threatened species (TS). Earth's human population is ~ 7 billion and increasing by ~ 76 million per year. This equates to a human birth-death ratio of 2.35 annually. The 2007 Red List prepared by the International Union for Conservation of Nature and Natural Resources (IUCN) categorized 16,306 species of vertebrates, invertebrates, plants, and other organisms (e.g., lichens, algae) as TS. This is ~ 1 percent of the 1,589,161 species described by IUCN or ~ 0.0033 percent of the believed 5,000,000 total species. Of the IUCN’s described species, vertebrates comprised relatively the most TS listings within respective taxonomic categories (5,742 of 59,811), while invertebrates (2,108 of 1,203,175), plants (8,447 of 297,326), and other species (9 of 28,849) accounted for minor class percentages. Conservation economics comprises microeconomic and macroeconomic principles involving interactions among ecological, environmental, and natural resource economics. A sustainable-growth (steady-state) economy has been posited as instrumental to preserving biological diversity and slowing extinctions in the wild, but few nations endorse this approach. Expanding growth principles characterize most nations' economic policies. To date, statutory fine, captive breeding cost, contingent valuation analysis, hedonic pricing, and travel cost methods are used to value TS in economic research and models. Improved valuation methods of TS are needed for benefit-cost analysis (BCA) of conservation plans. This Chapter provides a review and analysis of: (1) the IUCN status of species, (2) economic principles inherent to sustainable versus growth economies, and (3) methodological issues which hinder effective BCAs of TS conservation.

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Undergraduate programs continue to be a mainstay for the Department of Agricultural Economics. In an ongoing effort to match our offerings with the market demands for our graduates, we have implemented four new options in the Natural Resources and Environmental Economics major. This, combined with the options in the Agribusiness and Agricultural Economics majors allows students to customize their program to meet particular career goals. As a result of diligent efforts by faculty and staff, student enrollment for fall semester 2008 increased by 13.2 percent over the 2007 fall semester. This increase was greater than the College average.

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To successfully compete in today’s globalized economy, agribusiness firms need to innovate. Innovation enables firms to produce new and/or differentiated products/services that satisfy specialized consumer demands, and enables firms to generate cost reducing processes to out-compete rivals in domestic and international food markets. Firms will engage in innovative activities if they are able to recoup research and development (R&D) costs and capture innovation rents, so it is critical that they are able to identify the optimal strategies of protecting and profiting from their innovations.

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Stage-structured population models predict transient population dynamics if the population deviates from the stable stage distribution. Ecologists’ interest in transient dynamics is growing because populations regularly deviate from the stable stage distribution, which can lead to transient dynamics that differ significantly from the stable stage dynamics. Because the structure of a population matrix (i.e., the number of life-history stages) can influence the predicted scale of the deviation, we explored the effect of matrix size on predicted transient dynamics and the resulting amplification of population size. First, we experimentally measured the transition rates between the different life-history stages and the adult fecundity and survival of the aphid, Acythosiphon pisum. Second, we used these data to parameterize models with different numbers of stages. Third, we compared model predictions with empirically measured transient population growth following the introduction of a single adult aphid. We find that the models with the largest number of life-history stages predicted the largest transient population growth rates, but in all models there was a considerable discrepancy between predicted and empirically measured transient peaks and a dramatic underestimation of final population sizes. For instance, the mean population size after 20 days was 2394 aphids compared to the highest predicted population size of 531 aphids; the predicted asymptotic growth rate (λmax) was consistent with the experiments. Possible explanations for this discrepancy are discussed. Includes 4 supplemental files.