RESUMO
Staying in animal shelters can be stressful for dogs because of exposure to noise, unfamiliar environment, and social separation. Consequently, the wellbeing of sheltered dogs could be improved through reduction of length of stay in a shelter (LOS). To help inform the development of interventions aimed at LOS reduction, we analyze dogs' characteristics affecting their LOS. We use econometric modeling to identify the characteristics's influence by simultaneously controlling for multiple factors. We use data from Poland's largest animal shelter (11805 observations from the years 2000-2020). We compare two modeling approaches: a Cox survival model, commonly used in animal welfare studies, and an accelerated failure time model, theoretically better fitted to studying time-dependent factors but not yet applied in the context of LOS. We conclude that the latter approach is preferable for studying factors affecting LOS. Male sex, mixed-breed, dark fur, large size, and older age appear to be associated with longer time to adoption for dogs. To our knowledge, this is the first econometric examination of factors affecting LOS in a country in Central and Eastern Europe.
RESUMO
Residential landscapes are essential to the sustainability of large areas of the United States. However, spatial and temporal variation across multiple domains complicates developing policies to balance these systems' environmental, economic, and equity dimensions. We conducted multidisciplinary studies in the Baltimore, MD, USA, metropolitan area to identify locations (hotspots) or times (hot moments) with a disproportionate influence on nitrogen export, a widespread environmental concern. Results showed high variation in the inherent vulnerability/sensitivity of individual parcels to cause environmental damage and in the knowledge and practices of individual managers. To the extent that hotspots are the result of management choices by homeowners, there are straightforward approaches to improve outcomes, e.g. fertilizer restrictions and incentives to reduce fertilizer use. If, however, hotspots arise from the configuration and inherent characteristics of parcels and neighborhoods, efforts to improve outcomes may involve more intensive and complex interventions, such as conversion to alternative ecosystem types.
RESUMO
The ecological status of coastal and marine waterbodies world-wide is threatened by multiple stressors, including nutrient inputs from various sources and increasing occurrences of invasive alien species. These stressors impact the environmental quality of the Baltic Sea. Each Baltic Sea country contributes to the stressors and, at the same time, is affected by their negative impacts on water quality. Knowledge about benefits from improvements in coastal and marine waters is key to assessing public support for policies aimed at achieving such changes. We propose a new approach to account for variability in benefits related to differences in socio-demographics of respondents, by using a structural model of discrete choice. Our method allows to incorporate a wide range of socio-demographics as explanatory variables in conditional multinomial logit models without the risk of collinearity; the model is estimated jointly and hence more statistically efficient than the alternative, typically used approaches. We apply this new technique to a study of the preferences of Latvian citizens towards improvements of the coastal and marine environment quality. We find that overall, Latvians are willing to pay for reducing losses of biodiversity, for improving water quality for recreation by reduced eutrophication, and for reducing new occurrences of invasive alien species. However a significant group within the sample seems not to value environmental improvements in the Baltic Sea, and, thus, is unwilling to support costly measures for achieving such improvements. The structural model of discrete choice reveals substantial heterogeneity among Latvians towards changes in the quality of coastal and marine waters of Latvia.