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ID:
107442
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| Publication |
2011.
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| Summary/Abstract |
This article aims at unifying the theory of spatial voting and the theory that is
variously called conceptualization, information, or sophistication. Following
Downs's early insights on uncertainty as well as recent developments in both
literatures, I argue that it is of critical importance that spatial voting models
explicitly incorporate information effects. For this purpose, I develop a
heteroskedastic probit model that allows for the specification of information
heterogeneity. This model is applied to the Taiwan Election and Democratization
Study's 2004 post-presidential election survey data. In 2004, Taiwan's political
landscape was dominantly defined by the Green vs. Blue ideological cleavage,
and the candidates were perceived as taking divergent positions. This article
investigates the effects of information and activism on the spatial structure and
their implications on candidates' strategies. My findings confirm the existence
of these effects on voter uncertainty in the framework of spatial analysis.
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| 2 |
ID:
140029
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| Summary/Abstract |
The future of nuclear energy use has become increasingly contentious across the world. This is especially the case in Taiwan, which simultaneously suffers from the instabilities associated with fossil fuel imports and widespread public doubts about the government's ability to handle a Fukushima-scale disaster, while also being increasingly dependent on nuclear energy. This study employs the 2013 Taiwan Election and Democratization Study (TEDS) survey on the Lungmen Nuclear Power Plant to gauge public opinion on the nuclear issue. The results demonstrate that while the public tends to be pro-nuclear when they are informed about the financial consequences of abandoning nuclear power and reassured about safety concerns, opponents of nuclear power, though numerically fewer, tend to be more vocal. Further research is needed to determine the exact logic of the public's decision making, based on a more precise set of preconditions.
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| 3 |
ID:
118515
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