![]() ![]() ![]() Oppenheimer, Eds.,Congress Reconsidered, 8th Edition, (Washington, DC: CQ Press, 2004), pp. Oppenheimer, ed., Vanderbilt University Course: U.S. Dodd, ed., University of Florida Bruce I. As such, an alternative approach to analysis – framing– is necessary for fresh insight into the politics of US climate change policy.The House Leadership in an Era of Partisan Warfare. A number of explanations for this are explored before concluding that Congressional stasis is, in this case, qualitatively more complex than it first appears. Furthermore, it shows that the institution that is actually most important for progress on this issue, Congress, has been nothing short of an immovable object in this area. In a country so troubled and confused by the challenges that climate change brings, though, will President Obama’s leadership really be enough to stimulate concerted federal action on climate change? In other words, on climate change, does it really matter who is President? This paper proceeds to argue that it does not through a comparison of Congressional out during the President Clinton and President George W. With the election of President Obama supposedly came a ‘new day for environmentalists’. Among the US’ political elite there is an increasing recognition that the US must do something, but deciding what that ‘something’ is proves problematic. ![]() The US is a country ill at ease with the issue of climate change ‘high-minded words’ teamed with ‘low-down behaviour’ form the basis of an ‘American paradox’ on environmental issues. It also predicts roll call vote choice even after controlling for ideology and partisanship. Connectedness predicts which members will pass more amendments on the floor, a measure that is commonly used as a proxy for legislative influence. I then introduce a new measure I call "connectedness" which uses information about the frequency of cosponsorship and the number of cosponsors on each bill to make inferences about the social distance between legislators. I use a number of statistics to describe these networks such as the quantity of legislation sponsored and cosponsored by each legislator, the number of legislators cosponsoring each piece of legislation, the total number of legislators who have cosponsored bills written by a given legislator, and network measures of closeness, betweenness, and eigenvector centrality. In these networks, a directional link can be drawn from each cosponsor of a piece of legislation to its sponsor. Using large-scale network analysis I map the cosponsorship networks of all 280,000 pieces of legislation proposed in the U.S. ![]()
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