1000 resultados para US broadcasting


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Skepticism toward climate change has a long tradition in the United States. We focus on mass media as the conveyors of the image of climate change and ask: Is climate change skepticism still a characteristic of US print media coverage? If so, to what degree and in what form? And which factors might pave the way for skeptics entering mass media debates? We conducted a quantitative content analysis of US print media during one year (1 June 2012 to 31 May 2013). Our results show that the debate has changed: fundamental forms of climate change skepticism (such as denial of anthropogenic causes) have been abandoned in the coverage, being replaced by more subtle forms (such as the goal to avoid binding regulations). We find no evidence for the norm of journalistic balance, nor do our data support the idea that it is the conservative press that boosts skepticism.

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This essay presents a comprehensive study of how Hamlet figures in North American fiction. Gabriele Rippl takes her cue from Stephen Greenblatt’s notion of Shakespeare’s ‘theatrical mobility’ (Greenblatt, Cultural Mobility. Cambridge University Press, 2010). This initial mobility, based on the playwright’s own borrowings, appears to facilitate, or even instigate further migrations. Rippl proceeds to give an overview of adaptations of Shakespeare’s Hamlet in the USA and Canada, thus providing an insight into the historical and cultural uses to which the play has been put by authors such as John Updike or Margaret Atwood. Phenomena such as the ‘republicanization’ of Shakespeare (James Fenimore Cooper), or his appropriation for a feminist counter-discourse in Canada circumscribe a space for the negotiation of cultural and political identities.

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We examine the choice of modes of delivery in services based on US data, including both cross-border exports and sales through foreign affiliates. We focus on characteristics of destination markets and how this impacts on mode choice. We find that market size, distance and policy all play a role in where firms establish, and in how many markets firms enter. The importance of sales through affiliates relative to total foreign sales also depends on factors like market size, geographic and economic distance and the policy regime in place. Precisely, how important these factors are depends on the sector in question.

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This paper examines the differences between the International Financial Reporting Standards (IFRS) and Generally Accepted Accounting Principles (GAAP). The areas closely examined are the differences inrevenue recognition and reporting of intangibles. By investigating the differences in the two sets of standards I put into context the changes that would be necessary for domestic companies adopting the IFRS. The differences between these two standards are important because the implementation of IFRS into the U.S. is a current issue for domestic companies. It is important to note how the new standards will affect different companies in different ways. Depending on the size and industry, some companies will have a harder time transitioning to the new standards. However, once these companies make the transition to IFRS they will have better recognition and reporting of revenues and intangibles.

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This paper offers an economic analysis explaining why royalty relief under US Federal legislation is expensive in terms of revenue foregone, but is largely ineffective in increasing US offshore oil production. Repeal of royalty relief is therefore justified.

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This paper examines the effects of geographical deregulation on commercial bank performance across states. We reach some general conclusions. First, the process of deregulation on an intrastate and interstate basis generally improves bank profitability and performance. Second, the macroeconomic variables -- the unemployment rate and real personal income per capita -- and the average interest rate affect bank performance as much, or more, than the process of deregulation. Finally, while deregulation toward full interstate banking and branching may produce more efficient banks and a healthier banking system, we find mixed results on this issue.

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This paper uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting US home sales. The benchmark Bayesian model includes home sales, the price of homes, the mortgage rate, real personal disposable income, and the unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.