Investment efficiency, state-owned enterprises and privatisation: Evidence from Viet Nam in Transition

Our research firstly tests the difference in investment efficiency between state-owned enterprises (SOEs) and private firms and secondly evaluates the effect of privatisiation and equitisation policies on the investment efficiency of former state owned enterprises (SOEs). We use a novel dataset from Viet Nam which covers large and non-listed SMEs across construction, manufacturing, and services sectors. Our methodology uses a structural model to test the relationship between Tobin’s Q and capital spending. We find no evidence of investment spending being linked to marginal returns by SOEs across all sectors and size classes. However, former SOEs who have been privatised and equitized with a minority state shareholding display positive links between Q and investment. In fact, the link is stronger for these firms than for private firms

Corporate tax and location choice for multinational firms

This paper examines the effects of corporate tax on these location decisions of newly established multinational subsidiaries across 26 European countries over an eight year period. We contribute to the existing literature by examining the effects of a non-linear response of firm location decisions to changes in the tax rate. We also show that there are large variations in the sensitivity to tax rates across sectors and firm size groups. In particular, financial sector firms are more than twice as sensitive to changes in corporation tax rates relative to other sectors. Our baseline result is a finding that a one percent increase in the statutory or policy rate of corporation tax would lead to a reduction in the conditional location probability of 0.68 percent. Using the effective average tax rate (EATR), the marginal effect implies a reduction in the location probability of 1.15 percent following a 1 percent increase in the tax rate. Although overall tax has the expected negative effect on location probability, the marginal effect of an increase is lower at higher rates of tax

Co-designing resources to support the transition from child to adult health services for young people with cerebral palsy: A design thinking approach

IntroductionDesign thinking is a human-centred process that aims to identify the needs of end-users and iteratively develop solutions. Involving end-users in the development and design of solutions may enhance effectiveness by increasing focus on the needs of the target population. This paper describes the process of co-designing resources to support the transition from child-centred to adult-orientated health services using a design thinking approach.MethodsFive co-design workshops were conducted remotely with a young person advisory group and parent advisory group. A design thinking process guided by the Stanford D.School approach was used to understand the transition needs of young people and their parents and iteratively develop solutions to improve end-user experience.ResultsEight resource prototypes were generated: (1) designated transition coordinator, (2) digital stories of transition experience (3) written informational support (4) transition website, (5) transition checklists and worksheets (6) transition app, (7) transition programme or course and (8) educational programme for health professionals.ConclusionDesign thinking is a feasible approach to identify, characterise and prioritise resources collaboratively with end-user partners

Evaluation of methods for the reduction of contaminating host reads when performing shotgun metagenomic sequencing of the milk microbiome

peer reviewedShotgun metagenomic sequencing is a valuable tool for the taxonomic and functional profiling of microbial communities. However, this approach is challenging in samples, such as milk, where a low microbial abundance, combined with high levels of host DNA, result in inefficient and uneconomical sequencing. Here we evaluate approaches to deplete host DNA or enrich microbial DNA prior to sequencing using three commercially available kits. We compared the percentage of microbial reads obtained from each kit after shotgun metagenomic sequencing. Using bovine and human milk samples, we determined that host depletion with the MolYsis complete5 kit significantly improved microbial sequencing depth compared to other approaches tested. Importantly, no biases were introduced. Additionally, the increased microbial sequencing depth allowed for further characterization of the microbiome through the generation of metagenome-assembled genomes (MAGs). Furthermore, with the use of a mock community, we compared three common classifiers and determined that Kraken2 was the optimal classifier for these samples. This evaluation shows that microbiome analysis can be performed on both bovine and human milk samples at a much greater resolution without the need for more expensive deep-sequencing approaches.Irish Dairy Lev

Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe