衡量拉丁美洲政党腐败风险。法律上的制度分析

IF 1.8 Q3 PUBLIC ADMINISTRATION Data & policy Pub Date : 2022-11-15 DOI:10.1017/dap.2022.33
Giovanna Rodríguez-García
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引用次数: 0

摘要

摘要研究经济、社会和政治因素对政治腐败的影响,使用专家和公民的感知来衡量腐败并检验论点。学者们认为,对腐败的看法是实际腐败的一个很好的代表,因为关于实际腐败的数据是有限的,并不完全可信。然而,感知指数不允许从不同政府部门的实际腐败水平中测试驱动公民对腐败感知的单独机制。为了解决这个问题,我引入了一个基于拉丁美洲国家的新指数来衡量政党腐败的风险。腐败风险指数通过对法律法规的法律分析,评估政党参与腐败活动的可能性。中华民国没有直接衡量腐败活动或看法,而是衡量参与腐败的风险。该指数对反腐败问题的学者和从业人员具有重要意义。首先,它使我们能够检验关于政党和立法机构在减少政治腐败方面的作用的论点。其次,它有助于了解政党如何改善其内部组织,以降低腐败活动的风险。最后,它是研究政党的不同领域的跨国家研究的宝贵工具。
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Measuring the risk of corruption in Latin American political parties. De jure analysis of institutions
Abstract Research that examines the impact of economic, social, and political factors on political corruption uses expert’ and citizen’ perceptions for measuring corruption and testing arguments. Scholars argue that the perception of corruption is a good proxy for actual corruption because data on actual corruption are limited and not entirely trustworthy. However, perception indexes do not allow for testing separate mechanisms driving citizen’ perceptions of corruption from actual levels of corruption in different government branches. To address this issue, I introduce a new index based on Latin American countries to measure the risk of corruption in political parties. Using a de jure analysis of laws and regulations, the Risk of Corruption (ROC) index evaluates the likelihood of political parties engaging in corrupt activities. Instead of measuring corrupt activities or perception directly, the ROC measures the risks of involving in corruption. The index has important implications for academics and practitioners in anti-corruption issues. First, it allows us to test arguments about the role of political parties and legislatures in reducing political corruption. Second, it helps to understand how political parties could improve their internal organization to decrease the risk of corrupt activities. Finally, it is a valuable instrument for cross-national studies in diverse fields that study political parties.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
0
审稿时长
12 weeks
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