839 resultados para Predicting future earnings growth
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"July 1948."
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Mode of access: Internet.
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The Balanced Growth Cabinet was extablished to investigate new solutions to problems facing Illinois communities and to ensure that existing programs that effect growth are implemented effectively. One of the purposes of the Cabinet is to promote the "Illinois Tomorrow" initiative which pulls together a variety of state programs under a common focus: to encourage the creation, expansion, and restoration of livable communities in Illinois. It also promotes voluntary state/local partnerships and focuses on state programs that invest in existing communities. The Cabinate is charged with evaluating these programs to ensure that they are being used effectively. In addition, the Cabinet makes recommendations to the Governor for additional programs and policies that will promote balanced growth and effective planning strategies in Illinois.
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"August 1994."
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The bulk of the world's goat population is found in South-East Asia and Africa, where goats are the major source of meat production. Unfortunately, lack of an organized goat meat industry and marketing structure in developing countries is primarily responsible for their poor export earnings compared to those in developed countries such as Australia and New Zealand. Goat meat is leaner than meat from other domestic red meat species as well as being comparable in terms of its nutritional constituents. Furthermore, there are few, if any, religious or cultural taboos limiting the consumption of goat meat. Development of a carcass grading system and a suitable infrastructure in developing countries are some of the key requirements needed to establish a sustainable goat meat industry in the world. With an increase in demand by consumers for low-fat red meat alternatives, the future of the goat meat industry looks promising.
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Two studies investigated how both degree of identification and the individual's position within the group influence aspects of group loyalty. The authors considered ingroup position in terms of both the individual's current position within a group and expectations concerning the likelihood that one's position might change., in the future. Peripheral group members learned that their acceptance by other group members would improve in the future or that they could expect rejection by other group members. Various indices of group loyalty (ingroup homogeneity, motivation to work for the group, and evaluation of a motivated group member) showed that when group members anticipated future rejection, the lower the identification the less loyal they were. In contrast, those who expected future acceptance were more loyal (more motivated to work for the group) the lower their identification. Current group behavior depends on both intragroup future expectations and level of identification.
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Therapeutic proteins are vital to the future of human health provision and the survival and profitability of the global pharmaceutical industry. Returns from protein therapeutics are experiencing unprecedented growth: both their number and their economic dividend have increased by an order of magnitude in the last 10 years. The potential immunogenicity of protein therapeutics raises many clinical and safety concerns. Many poorly understood factors relating to both product and host affect immune responses. Available laboratory measurement of immunogenicity is of little utility for predicting the clinical properties of biotherapeutics. Coupled with assay variability and standardization issues, this precludes adequate prediction of the biological or clinical responses of therapeutic proteins, arguing for the utilization of informatic strategies in the analysis and prediction of protein immunogenicity. Currently, many unresolved issues must be addressed and thus circumvented before effective prediction can become routine.
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We extend and complement prior work by investigating the earnings quality of firms with different financial health characteristics and growth prospects. By using three alternative measures of default likelihood and two alternative measures of growth options, without being limited to a specific event, we provide a more comprehensive setup for analysing the earnings characteristics of the universe of firms than examining distressed firms with persistent losses, dividend reductions or bankruptcy-filings. Our dataset consists of 15,049 healthy U.S. firms over the period 1990-2004. Results show that the relation between earnings quality and financial health is not monotonic. Distressed firms have a low level of earnings timeliness for bad news and a high level for good news, and manage earnings toward a positive target more frequently than healthy firms. On the other hand, healthy firms have a high level of earnings timeliness for bad news. Growth aspects play an important role in a firm's ability to manage earnings. In contrast to the findings of prior studies, growth firms have greater earnings timeliness for bad news, whereas value firms manage earnings toward a positive target more frequently than growth firms. © 2011 The Authors. Abacus© 2011 Accounting Foundation, The University of Sydney.
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Ecotourism, a new term for low-impact nature travel, is receiving increasing attention. The author has researched the development of the U.S. ecotourism market from 1980-1989 in order to obtain data on the growth of this market segment. Factors involved in the growth of the U.S. ecotourism market are then examined in order to project the growth of this maeket during the 1990's.
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Peer reviewed
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Peer reviewed
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Peer reviewed
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Forests change with changes in their environment based on the physiological responses of individual trees. These short-term reactions have cumulative impacts on long-term demographic performance. For a tree in a forest community, success depends on biomass growth to capture above- and belowground resources and reproductive output to establish future generations. Here we examine aspects of how forests respond to changes in moisture and light availability and how these responses are related to tree demography and physiology.
First we address the long-term pattern of tree decline before death and its connection with drought. Increasing drought stress and chronic morbidity could have pervasive impacts on forest composition in many regions. We use long-term, whole-stand inventory data from southeastern U.S. forests to show that trees exposed to drought experience multiyear declines in growth prior to mortality. Following a severe, multiyear drought, 72% of trees that did not recover their pre-drought growth rates died within 10 years. This pattern was mediated by local moisture availability. As an index of morbidity prior to death, we calculated the difference in cumulative growth after drought relative to surviving conspecifics. The strength of drought-induced morbidity varied among species and was correlated with species drought tolerance.
Next, we investigate differences among tree species in reproductive output relative to biomass growth with changes in light availability. Previous studies reach conflicting conclusions about the constraints on reproductive allocation relative to growth and how they vary through time, across species, and between environments. We test the hypothesis that canopy exposure to light, a critical resource, limits reproductive allocation by comparing long-term relationships between reproduction and growth for trees from 21 species in forests throughout the southeastern U.S. We found that species had divergent responses to light availability, with shade-intolerant species experiencing an alleviation of trade-offs between growth and reproduction at high light. Shade-tolerant species showed no changes in reproductive output across light environments.
Given that the above patterns depend on the maintenance of transpiration, we next developed an approach for predicting whole-tree water use from sap flux observations. Accurately scaling these observations to tree- or stand-levels requires accounting for variation in sap flux between wood types and with depth into the tree. We compared different models with sap flux data to test the hypotheses that radial sap flux profiles differ by wood type and tree size. We show that radial variation in sap flux is dependent on wood type but independent of tree size for a range of temperate trees. The best-fitting model predicted out-of-sample sap flux observations and independent estimates of sapwood area with small errors, suggesting robustness in new settings. We outline a method for predicting whole-tree water use with this model and include computer code for simple implementation in other studies.
Finally, we estimated tree water balances during drought with a statistical time-series analysis. Moisture limitation in forest stands comes predominantly from water use by the trees themselves, a drought-stand feedback. We show that drought impacts on tree fitness and forest composition can be predicted by tracking the moisture reservoir available to each tree in a mass balance. We apply this model to multiple seasonal droughts in a temperate forest with measurements of tree water use to demonstrate how species and size differences modulate moisture availability across landscapes. As trees deplete their soil moisture reservoir during droughts, a transpiration deficit develops, leading to reduced biomass growth and reproductive output.
This dissertation draws connections between the physiological condition of individual trees and their behavior in crowded, diverse, and continually-changing forest stands. The analyses take advantage of growing data sets on both the physiology and demography of trees as well as novel statistical techniques that allow us to link these observations to realistic quantitative models. The results can be used to scale up tree measurements to entire stands and address questions about the future composition of forests and the land’s balance of water and carbon.
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issued December 1, 1993
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Plant performance is significantly influenced by prevailing light and temperature conditions during plant growth and development. For plants exposed to natural fluctuations in abiotic environmental conditions it is however laborious and cumbersome to experimentally assign any contribution of individual environmental factors to plant responses. This study aimed at analyzing the interplay between light, temperature and internode growth based on model approaches. We extended the light-sensitive virtual plant model L-Cucumber by implementing a common Arrhenius function for appearance rates, growth rates, and growth durations. For two greenhouse experiments, the temperature-sensitive model approach resulted in a precise prediction of cucumber mean internode lengths and number of internodes, as well as in accurately predicted patterns of individual internode lengths along the main stem. In addition, a system's analysis revealed that environmental data averaged over the experimental period were not necessarily related to internode performance. Finally, the need for a species-specific parameterization of the temperature response function and related aspects in modeling temperature effects on plant development and growth is discussed.