Determining the Success of Economic Sanctions

Bibliographic Data

ID6234515
AuthorsHyung Min Kim (0000-0001-9801-597X), Harrison Kim (0000-0002-3224-6430, Myongji University, corresponding author)
Year2013
Volume48
Issue1
Pages85-100
Publication date2013-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAustralian Journal of Political Science (JOURNAL)
Journal identifiersISSN: 1036-1146 • E-ISSN: 1363-030X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10361146.2012.731488
OpenAlexW1985222867
LanguageEN
Citations received4
References cited44

This article applies the social-network conception of national power, derived from the social-network conception of the international system structure, to economic sanctions, one of the most widely studied empirical phenomena in international relations. The empirical analyses of economic sanctions presented here find that sanctions cases with disproportional structural-network power between sender and target were far less likely to be successful and those with the target state possessing high structural-network power were far more likely to be successful. The evidence from nonparametric model discrimination statistics and information criteria measures shows that the sanctions models with new social-network power measures have greater explanatory power than or statistically outperform those with old attributional power measures, such as the Correlates of War index and GNP. 一些政治学者认为强调农业和农民的“乡村情结”越来越失去其政治和社会意义,但并没有多少实证研究支持这一说法。为此,作者就人们对农业和农民的态度做了探讨性调查。调查结果显示,人们的态度符合“乡村情结式微”论,但会因年龄、位置、出生国、投票意向而有差异。不过,仍存在一种将乡村情结归诸农民的倾向,有对农民生产方式的强烈支持、以及对农业于国家未来重要性的坚信。令人惊奇的是,与过去三十年的市场自由主义相左,对政府之扶助农业的支持可谓强烈

Econometrics · Economic sanctions · Economics · Empirical evidence · Empirical research · Explanatory power · Index (typography · Nonparametric statistics · Political economy · Political science · Positive economics · Power (physics · Sanctions · Statistics · Computer Science · Economic Sanctions and International Relations · Law

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