38 research outputs found
Effects of Residential Treatment Centers for Adolescents on Community Stability and Safety
This study investigated the effects of residential treatment centers (RTCs) for adolescents on community stability and safety. Ten RTCs that provided care for teenage boys and girls—excluding those with known criminal, drug, or sexual problems—were selected for the study. Assessment of the impacts of these RTCs was conducted by interviewing realtors, sheriff\u27s offices, and planning and zoning offices close to the RTCs. Results indicated that the RTCs had no major, adverse impacts on community stability or safety
Assessing the impact of forest management on aboriginal hunters : evidence from stated and revealed preference data; plenary paper
Meeting: EEPSEA Biannual Workshop, 19th, Nov. 2002, Singapore, S
Experimental Determination of Genetic and Environmental Influences on the Viscosity of Triticale
Version Number : 1.0Low viscosity in cereals is important for monogastric livestock feeding. With respect to triticale, knowledge on the variability of its viscosity and its environmental dependence is deplorably low. Six winter varieties with similar earliness at maturity were chosen that covered a large range of potential applied viscosity (PAV) (individual values ranging from 1.8 to 4.9 ml/g). These were cultivated in four locations in Switzerland, at altitudes ranging between 430 and 700 m a.s.l., in 2008 and 2009. The effect of genotype on the PAV was significant and clearly influenced by the location factor. Although variety x location and variety x year interactions were rather low, they were still very important for the PAV compared with other variables such as grain yield and specific grain weight. The PAV expression of one variety seemed not to be susceptible to environmental conditions. The varietal range in viscosity demonstrates a high potential for breeding to raise quality, especially as the viscosity and the grain yield were not correlated. The favourable relationship between the PAV and protein content found in the present study may provide a further incentive to improve this trait to yield high-quality triticale. Existing variability might be used to guide the choice of favourable varieties
Can Stated Preference Methods be used to Value Attributes of Subsistence Hunting by Aboriginal Peoples? A Case Study in Northern Saskatchewan
Assembly and architecture of invertebrate intermediate filaments reconcile features of vertebrate cytoplasmic and nuclear lamin-type intermediate filaments.
Assembly and architecture of invertebrate intermediate filaments reconcile features of vertebrate cytoplasmic and nuclear lamin-type intermediate filaments.
Modeling Recreation Site Choice: Do Hypothetical Choices Reflect Actual Behavior?
We examine the ability of revealed preference (RP), site-specific stated preference (SP), transferred SP, and joint RP-SP models to predict aggregate and individual recreation site choice in a holdout sample. For two statistical comparisons, the RP model provided the most accurate predictions of individual choices. However, the transferred SP model, applied directly or estimated jointly with the RP data, performed best in three aggregate and one individual prediction test. These findings suggest that data from well-designed and conducted SP surveys from one site can be combined with site-specific RP data from another site to generate improved models of recreation site choice. Copyright 2001, Oxford University Press.
Aggregation Bias in Recreation Site Choice Models: Resolving the Resolution Problem
This paper examines the effect of differing levels of spatial resolution on recreation site choice models and welfare resulting from changes in site attributes. These issues are important where the spatial scale at which recreationists make choices is unknown, but information exists on choice attributes at larger spatial scales. We estimate choice models at various scales of spatial resolution and incorporate the size of the aggregate sites and heterogeneity parameters in the model. Accounting for the size of the aggregates in estimation improved model fit and alleviated aggregate parameter bias. We provide advice for applied modeling based on these results.