Trade liberalization and credit constraints: Why opening up may fail to promote convergence

Recent evidence suggests that despite opening up a country for trade, the productivity gap between developed and emerging economies often does not close. This paper examines credit constraints as one channel held responsible for hampering convergence. Specifically, we extend a Melitz and Ottaviano (2008) type trade model with variable mark-ups to allow for endogenous technology adoption. We consider a framework with two countries that potentially differ with respect to credit market development. Firms have the option to adopt a more efficient technology by paying some fixed cost. A fraction of the fixed technology adoption cost has to be financed externally: in a less developed credit market, the costs of external finance and thus the total costs of technology adoption are higher. A reduction in trade costs raises demand abroad (pro technology-adoption effect) but reduces demand at home because of import competition (anti technology-adoption effect). We find that trade liberalization increases economic performance, that is average productivity and technology adoption, in both countries but that the productivity gap widens. Simulations show that the welfare gap widens too. Opening up without sufficient access to external funding thus fails to promote convergence

What increases (social) media attention: Research impact, author prominence or title attractiveness?

Do only major scientific breakthroughs hit the news and social media, or does a 'catchy' title help to attract public attention? How strong is the connection between the importance of a scientific paper and the (social) media attention it receives? In this study we investigate these questions by analysing the relationship between the observed attention and certain characteristics of scientific papers from two major multidisciplinary journals: Nature Communication (NC) and Proceedings of the National Academy of Sciences (PNAS). We describe papers by features based on the linguistic properties of their titles and centrality measures of their authors in their co-authorship network. We identify linguistic features and collaboration patterns that might be indicators for future attention, and are characteristic to different journals, research disciplines, and media sources.Comment: Paper presented at 23rd International Conference on Science and Technology Indicators (STI 2018) in Leiden, The Netherland

Citations in Web 2.0

Citations are a classic dimension of scientific communication. This paper looks at two different scenarios in which citation analysis can be applied to novel Web 2.0 environments: One case study deals with citations on Twitter and the other with analyzing blog posts and social bookmarking systems. (Autorenreferat

3D Gel Map of Arabidopsis Complex I

Complex I has a unique structure in plants and includes extra subunits. Here, we present a novel study to define its protein constituents. Mitochondria were isolated from Arabidopsis thaliana cell cultures, leaves, and roots. Subunits of complex I were resolved by 3D blue-native (BN)/SDS/SDS-PAGE and identified by mass spectrometry. Overall, 55 distinct proteins were found, seven of which occur in pairs of isoforms. We present evidence that Arabidopsis complex I consists of 49 distinct types of subunits, 40 of which represent homologs of bovine complex I. The nine other subunits represent special proteins absent in the animal linage of eukaryotes, most prominently a group of subunits related to bacterial gamma-type carbonic anhydrases. A GelMap http://www.gelmap.de/arabidopsis-3d-complex-i/ is presented for promoting future complex I research in Arabidopsis thaliana.DF

Characterization of the OXPHOS system in plant mitochondria

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Bringing together bibliometrics research from different disciplines – what can we learn from each other?

Currently, there is little exchange between the different communities interested in the domain of bibliometrics. A recent conference aimed to bridge this gap. Peter Kraker, Katrin Weller, Isabella Peters and Elisabeth Lex report on the multitude of topics and viewpoints covered on the quantitative analysis of scientific research. A key theme was the strong need for more openness and transparency: transparency in research evaluation processes to avoid biases, transparency of algorithms that compute new scores and openness of useful technology

Führungskräfte und neue Anforderungen an den Führungsnachwuchs: Am Beispiel von Arbeitssicherheit

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Results of an interlaboratory method performance study for the size determination and quantification of silver nanoparticles in chicken meat by single-particle inductively coupled plasma mass spectrometry (sp-ICP-MS)

Single-particle inductively coupled plasma mass spectrometry (sp-ICP-MS) promises fast and selective determination of nanoparticle size and number concentrations. While several studies on practical applications have been published, data on formal, especially interlaboratory validation of sp-ICP-MS, is sparse. An international interlaboratory study was organized to determine repeatability and reproducibility of the determination of the median particle size and particle number concentration of Ag nanoparticles (AgNPs) in chicken meat. Ten laboratories from the European Union, the USA, and Canada determined particle size and particle number concentration of two chicken meat homogenates spiked with polyvinylpyrrolidone (PVP)-stabilized AgNPs. For the determination of the median particle diameter, repeatability standard deviations of 2 and 5% were determined, and reproducibility standard deviations were 15 and 25%, respectively. The equivalent median diameter itself was approximately 60% larger than the diameter of the particles in the spiking solution. Determination of the particle number concentration was significantly less precise, with repeatability standard deviations of 7 and 18% and reproducibility standard deviations of 70 and 90%