Environmental factors may contribute to the increasing prevalence of obesity, especially in black and low-income populations. In this paper, the geographic distribution of fast-food restaurants is examined relative to neighborhood sadomasochistic. Methods Using geographic information system software, all fast-food restaurants within the city limits of New Orleans, Louisiana, in 2001 were mapped.
Buffers around census tracts were generated to simulate I-mile and 0. 5-mile "shopping areas" around and including each tract, and fast food restaurant density (number of restaurants per square mile) was calculated for each area. Using multiple regression, the geographic association between fast-food restaurant density and black and low-income neighborhoods was assessed, while controlling for environmental confounders that might also influence the placement of restaurants (commercial activity, presence of major highways, and median home values).
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Results In 156 census tracts, a total of 155 fast-food restaurants were identified. In the regression analysis that included the environmental confounder, fast-food assistant density in shopping areas with I-mile buffers was independently correlated with median household income and percent of black residents in the census tract. Similar results were found for shopping areas with 0. 5-mile buffers.
Predominantly black neighborhoods have 2. 4 fast-food restaurants per square mile Pestle Analysis of Burger King By acquaintanceship compared to 1 5 restaurants in predominantly white neighbors. Conclusions The link between fast-food restaurants and black and low-income neighborhoods may contribute to the understanding of environmental causes of the obesity epidemic in these populations.
on PESTEL Analysis of Burger King
These conditions show that, in the political dimension of the PESTEL/PESTLE analysis model, Burger King must focus on external factors that present opportunities for growth and expansion, especially in developing economies. Burger King must always account for sociocultural influences in its remote/macro-environment.
Political conditions are determinants of business performance. This part of the PESTEL/PESTLE analysis identifies governmental influence on firms’ remote or macro-environment. In Burger King’s case, the following are the main political external factors: Governmental support for globalization (opportunity)
Burger King’s business partly relies on technologies. In this dimension of the PESTEL/PESTLE analysis, technologies and related trends are considered in terms of their influence on the remote or macro-environment of the firm. The following are the major technological factors affecting Burger King:
The PESTEL/PESTLE analysis framework identifies the most significant factors in the firm’s remote or macro-environment. In Burger King’s case, these external factors include the influences of governmental and nongovernmental organizations, as well as trends or changes in technologies, among others. Effectiveness in addressing
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