Quantifying Productivity Gains from Foreign Investment

We quantify the causal effect of foreign investment on total factor productivity (TFP) using a new global firm-level database. Our identification strategy relies on exploiting the difference in the amount of foreign investment by financial and industrial investors and simultaneously controlling for unobservable firm and country-sector-year factors. Using our well identified firm level estimates for the direct effect of foreign ownership on acquired firms and for the spillover effects on domestic firms, we calculate the aggregate impact of foreign investment on country-level productivity growth and find it to be very small

A multi-scale tool for functionalization of polyolefins through radical grafting

Free radical induced grafting of polymers is an important synthesis strategy to improve the properties of the pristine polymer and to ensure compatibility in blends. In this contribution, a multi-scale modeling tool is presented that enables to describe the grafting kinetics with a detailed description at the molecular, micro- and meso-scale combined with a 1D macro-scale reactor model. The potential of the model is illustrated with polyolefins as polymer substrate, including model validation to lab-scale and industrial scale data. It is highlighted that the model is indispensable to achieve the optimal process conditions for improved process intensification and functionality/molecular control

An advanced kinetic modeling for reactive polymer processing

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An Indigenous Measure of Social Desirability Across Non-Western Countries

Cross-cultural differences in Social Desirability (SD) could be partly due to the nonequivalence of constructs, items, or other challenges of cross-cultural research. We tested to what extent a Mexican, indigenous scale of SD, capturing both positive and negative features of SD, would be useful in other countries. Data were collected in convenience samples in eight countries (Argentina, China, Colombia, Costa Rica, Lebanon, Mexico, Nicaragua, and Spain) in order to test the psychometric accuracy and invariance of the factor structure. Values of Tucker’s factor congruence coefficients (gauging invariance) and tests of the similarity of the cross-country similarity of Cronbach’s alpha (gauging internal consistency) revealed that SD, as measured by this indigenous list, is stable and comparable across cultures. The results are interpreted in a conceptual framework in which SD is viewed as a culturally embedded communication style that people use to integrate successfully into their groups

Wild micromammal host spectrum of zoonotic eukaryotic parasites in Spain. Occurrence and genetic characterisation

Micromammals have historically been recognized as highly contentious species in terms of the maintenance and transmission of zoonotic pathogens to humans. Limited information is currently available on the epidemiology and potential public health significance of intestinal eukaryotes in wild micromammals. We examined 490 faecal samples, grouped into 155 pools, obtained from 11 micromammal species captured in 11 Spanish provinces for the presence of DNA from Cryptosporidium spp., Giardia duodenalis, Enterocytozoon bieneusi and Blastocystis sp. The presence of Leishmania spp. was investigated in individual spleen samples. All micromammal species investigated harboured infections by at least one eukaryotic parasite, except Apodemus flavicollis, Myodes glareolus, Sorex coronatus and Sciurus vulgaris, but the sample size for these host species was very low. Cryptosporidium spp. was the most prevalent species found (3.7%, 95% confidence interval [CI]: 2.2–5.7), followed by G. duodenalis (2.8%, 95% CI: 1.6–4.6) and E. bieneusi (2.6%, 95% CI: 1.4–4.3). All pooled faecal samples tested negative for Blastocystis sp. Leishmania infantum was identified in 0.41% (95% CI: 0.05–1.46) of the 490 individual spleen samples analysed. Sequence analyses allowed the identification of Cryptosporidium andersoni (5.9%), C. ditrichi (11.7%), C. muris (5.9%), C. parvum (5.9%), C. tyzzeri (5.9%), rat genotypes CR97 (5.9%) and W19 (5.9%), vole genotypes V (11.7%) and VII (5.9%) and Cryptosproridium spp. (35.3%) within Cryptosporidium (n = 17). Known genotypes C (66.7%) and Peru11 (25.0%) and a novel genotype (named MouseSpEb1, 8.3%) were detected within E. bieneusi (n = 12). None of the G. duodenalis-positive samples could be genotyped at the assemblage level. Molecular data indicate that wild micromammals were primarily infected by rodent-adapted species/genotypes of eukaryotic pathogens and thereby have a limited role as a source of human infections. The presence of ruminant-adapted species C. andersoni along with finding C. parvum is indicative of an overlap between domestic/peri-domestic and sylvatic transmission cycles of these agents.This work was supported by the Spanish Ministry for Science and Innovation under projects CGL2011-30274 and CGL2015-71255-P and by the BBVA Foundation under project TOPIGEPLA (2014 call). Additional funding was obtained from the Spanish Ministry for Science and Innovation under projects CGL2017-89866-R and E-RTA-2015-0002-C02-02 and by the Health Institute Carlos III (ISCIII), Spanish Ministry of Economy and Competitiveness under project PI19CIII/00029. David González-Barrio is the recipient of a Sara Borrell Research Contract (CD19CIII/00011) funded by the Spanish Ministry of Science, Innovation and Universities. Alejandro Dashti is the recipient of a PFIS contract (FI20CIII/00002) funded by the Spanish Ministry of Science and Innovation and Universities. The ‘Grupo de Rehabilitación de la Fauna Autóctona y su Hábitat’ (GREFA) provided partial funding and invaluable logistic and workforce support for samplings in NW Spain, along with many students and staff from the Autonomous University of Madrid (UAM).Peer reviewe

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Foreign Investment and Domestic Productivity: Identifying knowledge spillovers and competition effects

We study the impact of foreign direct investment (FDI) on total factor productivity (TFP) of domestic firms using a new, representativ firm-level data set spanning six countries. A novel finding is that firm-level spillovers from foreign firms to domestic companies can be significantly positive, non-existent, or even negative, depending on which sectors receive FDI. When foreign firms produce in the same narrow sector as domestic firms, the latter are negatively affected by increasing competition and positively aected by knowledge spillovers. We find that the positive spillovers dominate if foreign firms enter sectors where firms are "technologically close," controlling for the endogeneity of their entry decision into such sectors. Positive technology spillovers also affect firms in other sectors, if those sectors are technologically close to the sectors receiving FDI. Increasing FDI in sectors that are technologically close to other sectors boosts TFP of domestic firms by twice as much as increasing FDI by the same amount across all sectors