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What does the American public label as “terrorism?” How do people think about the factors motivating violence, and in turn, the policies that are favored? Using ingroup and outgroup dynamics, we argue that the terrorist label is more readily applied to Arab-Americans than Whites, and to members of militant groups. Moreover, people attribute different motives to violence committed by Arabs versus Whites, and favor different policies in response. We conducted an experiment where we randomly assigned one of six stories about a failed armed attack, each with a different combination of ethnicity and group affiliation. We find that an Arab ethnicity and Islamist group affiliation increase the likelihood of labeling an act as terrorism. Attacks by Whites and members of a White supremacist group are less likely to be labeled terrorism. Rather, Whites are more likely to be called “mass shooters.” Despite never discussing motive, Arab-American attackers are more likely to be ascribed political or religious motives, while White suspects are more likely to be seen as mentally ill. Lastly, an Arab ethnicity increases support for counterterrorism policies and decreases support for mental health care.  相似文献   
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This paper asks whether the migration decisions of unauthorized Mexican immigrants to the USA have been influenced by stronger US border enforcement efforts since 1993 that have sharply increased the physical risk and financial cost of illegal immigration. These measures were supposed to have decreased the probability of successful entry, thereby lowering the expected benefits of migration. We carried out a logistic regression analysis of data from a recent survey of 603 returned migrants and potential first‐time migrants in rural Mexico. Our findings indicate that tougher border controls have had remarkably little influence on the propensity to migrate illegally to the USA. Political restrictions on immigration are far outweighed by economic and family‐related incentives to migrate. An alternative, labor‐market approach to immigration control with higher probability of effectiveness is outlined.  相似文献   
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We discuss a common, but often ignored, problem in event data: underreporting bias. When collecting data, it is often not the case that source materials capture all events of interest, leading to an undercount of the true number of events. To address this issue, we propose a common method first used to estimate the size of animal populations when a complete census is not feasible: mark and recapture. By taking multiple sources into consideration, one can estimate the rate of missing data across sources and come up with an estimate of the true number of events. To demonstrate the utility of the approach, we compare Associated Press and Agence France Press reports on conflict events, as contained in the Social Conflict in Africa Database. We show that these sources capture approximately 76% of all events in Africa but that the nondetection rate declines dramatically when considering more significant events. We also show through regression analysis that deadly events, events of a larger magnitude, and events with government repression, among others, are significant predictors of overlapping reporting. Ultimately, the approach can be used to correct for undercounting in event data and to assess the quality of sources used.  相似文献   
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Domestic strife and civil war frequently produce large population dislocations and refugee flows across national boundaries. Mass refugee flows often entail negative consequences for receiving states, particularly in developing countries. Moreover, civil violence frequently extends across national boundaries as “internal” conflicts are not constrained by borders. This article argues that refugee flows between states significantly increase the likelihood of militarized interstate disputes (MIDs) in that dyad. Refugee‐receiving states are more likely to initiate MIDs as they intervene to prevent further externalities, and refugee‐sending states initiate MIDs as they violate borders in pursuit of dissidents. Moreover, this research challenges conventional theories of international conflict that focus exclusively on distributional bargains between states. These propositions are tested in a quantitative analysis of the relationship between refugees and MID initiation, 1955–2000. Results confirm that refugees significantly increase the probability of international conflict.  相似文献   
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