16 research outputs found

    How to mitigate corruption in emerging markets: The case of Russia

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    Russian CEOs are arguably the most experienced managers in the world when it comes to working in corrupt environments. For our analysis, we gathered data from the CEOs and owners of 111 local and international companies operating in Russia. We asked them to assess their experiences with informal practices, including the extent to which their businesses are dependent on informal deals and the strategies they deploy to mitigate business corruption. The list of specific practices and strategies assembled in the pilot interviews and media content analysis has been cross-checked with the existing typologies of corruption in post-communist societies and verified through in-depth interviews. This study presents the outcomes of our analysis, one of which is that companies tend to blame officials for corrupt activities while hiding their own internal corruption from public view. Both are dependent on the industry in which they operate, however. The paper also includes the approach we developed to understand the less reprehensible but more widespread forms of corruption such as collusion, conflict of interest, cronyism and nepotism, fraud, gifts and hospitality, lobbying, abuse of power or office, and influence peddlin

    Informalität oder Korruption Kritik der quantitativen Korruptionsforschung = Informality or corruption A critique of quantitative corruption research

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    Die Bekämpfung der Korruption genießt weltweit Aufmerksamkeit. Doch wie misst man Korruption? Viele Sozialwissenschaftler setzen auf quantitative Methoden. Doch diese haben eine Schwäche. Sie sind blind für den jeweiligen sozialen und lokalen Kontext, in dem Menschen informelle Praktiken anwenden. Auch ist nicht jedes informelle Handeln Korruption. Um die Grenzen exakt zu bestimmen sowie Formen und Ursachen von Korruption erfassen zu können, sollte die Korruptionsforschung stärker qualitative Methoden und Ansätze der Ethnographie nutzen

    The potential of microvessel density in prediction of infarct growth: A two-month experimental study in vessel size imaging

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    Objectives: Vessel size imaging is a novel technique to evaluate pathological changes of the microvessel density quantity Q and the mean vessel size index (VSI). As a follow-up study, we assessed these parameters for microscopic description of ischemic penumbra and their potentials in predicting lesion growth. Methods: Seventy-five patients with a perfusion-diffusion mismatch were examined within 24 h from symptom onset. We defined three regions of interest: the initial infarct (INF), the ischemic penumbra (IPE), and the healthy region (HEA) symmetric to the IPE. For 23 patients with a 6th-day follow-up, IPE regions were divided into areas of infarct growth and areas of oligemia. Result: The median values of Q and VSI were: for INF 0.29 s-1/3 and 15.8 µm, for IPE 0.33 s-1/3 and 20.6 µm and for HEA 0.36 s-1/3 and 17.4 µm. The Q in the IPE was significantly smaller than in HEA, and VSI was significantly larger. The Q with a threshold of 0.32 s-1/3 predicted the final infarction with a sensitivity of 69% and a specificity of 64%. Conclusions: The reduced Q and increased VSI in the IPE confirmed our previous pilot results. Although Q showed a trend to identify the severity of ischemia in an overall voxel population, its potential in predicting infarct growth needs to be further tested in a larger cohort including a clear status of reperfusion and recanalization

    Publisher Correction to : Background invertebrate herbivory on dwarf birch (Betula glandulosa-nana complex) increases with temperature and precipitation across the tundra biome

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    The above mentioned article was originally scheduled for publication in the special issue on Ecology of Tundra Arthropods with guest editors Toke T. Høye . Lauren E. Culler. Erroneously, the article was published in Polar Biology, Volume 40, Issue 11, November, 2017. The publisher sincerely apologizes to the guest editors and the authors for the inconvenience caused

    Background invertebrate herbivory on dwarf birch (Betula glandulosa-nana complex) increases with temperature and precipitation across the tundra biome

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    Chronic, low intensity herbivory by invertebrates, termed background herbivory, has been understudied in tundra, yet its impacts are likely to increase in a warmer Arctic. The magnitude of these changes is however hard to predict as we know little about the drivers of current levels of invertebrate herbivory in tundra. We assessed the intensity of invertebrate herbivory on a common tundra plant, the dwarf birch (Betula glandulosa-nana complex), and investigated its relationship to latitude and climate across the tundra biome. Leaf damage by defoliating, mining and gall-forming invertebrates was measured in samples collected from 192 sites at 56 locations. Our results indicate that invertebrate herbivory is nearly ubiquitous across the tundra biome but occurs at low intensity. On average, invertebrates damaged 11.2% of the leaves and removed 1.4% of total leaf area. The damage was mainly caused by external leaf feeders, and most damaged leaves were only slightly affected (12% leaf area lost). Foliar damage was consistently positively correlated with mid-summer (July) temperature and, to a lesser extent, precipitation in the year of data collection, irrespective of latitude. Our models predict that, on average, foliar losses to invertebrates on dwarf birch are likely to increase by 6--7% over the current levels with a 1 textdegreeC increase in summer temperatures. Our results show that invertebrate herbivory on dwarf birch is small in magnitude but given its prevalence and dependence on climatic variables, background invertebrate herbivory should be included in predictions of climate change impacts on tundra ecosystems
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