2 resultados para Elasticity of taxable income

em Digital Archives@Colby


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Skiing and snowboarding is a fairly expensive activity for participant and one in which the industry as a whole makes handsome profits. In the 2005/06 season, resorts in the Northeast reported an average gross revenue of $18.5 million. (NSAA) With the current weather phenomenon of El Nino, however, resorts in New England especially, have been suffering economically. The gross revenue in New England in the ’05/’06 season was down 4% from the previous year, likely due to the fact the total snowfall declined by 16%. (NSAA) Much of this loss in revenue came during the Christmas to New Years vacation period. In the 2007 season, most mountains were less than half-opened during this peak week and the number of skiers and riders was especially low. With such a large decrease in profits, it is likely that many people will soon be affected (if they have not already been), including local employees. This project, therefore, seeks to analyze the impact that the resorts have on the local economies in order to determine the potential problems the changing snowfall patterns could have on locals’ well-being. It is hypothesized that there will be a strong correlation between the proximity of a community to a resort and the relative economic prosperity of that community; meaning that the ski industry is a pivotal part of their income and livelihood.

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The U.S. Department of Housing and Urban Development defines affordable housing as a household paying no more than 30 percent of its annual income on housing. That is, families who pay more than 30 percent of their income on housing are considered cost burdened and may have difficulty affording necessities such as food, clothing, healthcare, and transportation. This project focused on Kennebec County, Maine. Between 1990 and 2000, market demand for housing increased at a faster rate than did the supply of housing. Despite the addition of 6,719 homes, the average home price increased faster than average household income. This raises the question of just how many households in Kennebec County are facing unaffordable housing. Using shapefiles and data provided by the US Census Bureau, a map was created with ArcGIS to illustrate the percentage of households, down to the Census Block level of detail, that are paying more than 30 percent of their income to housing. By looking at this information I was able to get a better picture of the housing situation and where in the county households are having the hardest time meeting their needs. The results indicate that households in the more urbanized sections of the county are more likely than rurally located households to be facing unaffordable housing. Namely, Waterville and Augusta held the highest percentage of households paying more than 30 percent of their income for housing.