Visa enkel post

dc.contributor.authorMcMann, Kelly M.
dc.contributor.authorSeim, Brigitte
dc.contributor.authorTeorell, Jan
dc.contributor.authorLindberg, Staffan I.
dc.date.accessioned2017-03-28T06:48:53Z
dc.date.available2017-03-28T06:48:53Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/2077/52086
dc.description.abstractTheory predicts democracy should reduce corruption. Yet, numerous scholars have found empirically that corruption decreases at high levels of democracy but actually increases at low levels. A key weaknesses of studies that aim to explain this inverted curvilinear relationship, however, is that they do not disaggregate the complex concept of democracy. By contrast, this working paper disaggregates democracy theoretically and empirically. Our theoretical framework shows how components of democracy affect costs and benefits of engaging in corruption and, therefore, the level of corruption overall. Whereas other studies examine only how democratic accountability imposes costs on those engaging in corruption and thus illuminate only the downward curve of the relationship, we also examine the transaction costs and political support benefits of corruption and therefore can explain the initial uptick in corruption at low levels of democracy. Using measures of democratic components from Varieties of Democracy, we examine 173 countries from 1900 to 2012 and find that freedoms of expression and association exhibit the inverted curvilinear relationship with corruption, and that judicial constraints have a negative linear relationship. Moreover, the introduction of elections and the quality of elections act jointly, but each in a linear fashion. The mere introduction of elections increases corruption, thus accounting for the upward sloping segment of the inverted curve. Once the quality of elections begins to improve, corruption decreases, resulting in the downward-sloping segment of the curve.sv
dc.description.sponsorshipWe are grateful to Lucas Flowers, Mark Patteson, and Andrew Slivka for their research assistance. This research project was supported by the Riksbankens Jubileumsfond, Grant M13-0559:1, PI: Staffan I. Lindberg, V-Dem Institute, University of Gothenburg, Sweden; the Knut and Alice Wallenberg Foundation to Wallenberg Academy Fellow Staffan I. Lindberg, Grant 2013.0166, V-Dem Institute, University of Gothenburg, Sweden; European Research Council, Grant 724191, PI: Staffan I. Lindberg, V-Dem Institute, University of Gothenburg, Sweden; and internal grants from the Vice-Chancellor’s office, the Dean of the College of Social Sciences, and the Department of Political Science at University of Gothenburg. We performed simulations and other computational tasks using resources provided by the Notre Dame Center for Research Computing (CRC) through the High Performance Computing section and the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre, SNIC 2016/1-382 and 2017/1-68. We specifically acknowledge the assistance of In-Saeng Suh at CRC and Johan Raber at SNIC in facilitating our use of their respective systems.sv
dc.language.isoengsv
dc.relation.ispartofseriesWorking Paperssv
dc.relation.ispartofseries2017:43sv
dc.titleDemocracy and Corruption: A Global Time-Series Analysis with V-Dem Datasv
dc.typeTextsv
dc.contributor.organizationV-Dem Institutesv


Filer under denna titel

Thumbnail

Dokumentet tillhör följande samling(ar)

Visa enkel post