7 resultados para Election districts

em Aston University Research Archive


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This article examines the behaviour of the UK capital markets during the overnight trading period that coincided with the announcement of the results of the UK general election in May 1997. Evidence that the financial markets responded to the evolving pattern of results is found. In addition, the consensus move experienced as the markets opened the next trading day was influenced by the extent of the moves that had already occurred overnight.

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This article compares the importance of agglomerations of local firms, and inward FDI as drivers of regional development. The empirical analysis exploits a unique panel dataset of the Italian manufacturing sector at the regional and industry levels. We explore whether FDI and firm agglomeration can be drivers of total factor productivity (separately and jointly), with this effect being robust to different estimators, and different assumptions about inter-regional effects. In particular, we isolate one form of firm agglomeration that is especially relevant in the Italian context, industrial districts, in order to ascertain their impact on productivity. In so doing, we distinguish standard agglomeration and localization economies from industrial districts to understand what additional impact the latter has on standard agglomeration effects. Interaction effects between FDI spillovers and different types of agglomeration economies shed some light on the heterogeneity of regional development patterns as well as on the opportunity to fine tune policy measures to specific regional contexts.

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With the development of social media tools such as Facebook and Twitter, mainstream media organizations including newspapers and TV media have played an active role in engaging with their audience and strengthening their influence on the recently emerged platforms. In this paper, we analyze the behavior of mainstream media on Twitter and study how they exert their influence to shape public opinion during the UK's 2010 General Election. We first propose an empirical measure to quantify mainstream media bias based on sentiment analysis and show that it correlates better with the actual political bias in the UK media than the pure quantitative measures based on media coverage of various political parties. We then compare the information diffusion patterns from different categories of sources. We found that while mainstream media is good at seeding prominent information cascades, its role in shaping public opinion is being challenged by journalists since tweets from them are more likely to be retweeted and they spread faster and have longer lifespan compared to tweets from mainstream media. Moreover, the political bias of the journalists is a good indicator of the actual election results. Copyright 2013 ACM.