Explore the vast range of titles available.

An assessment of the economic impact that can be achieved through grants makes it possible to refine such policy instruments in order to make public funding more effective in relation to the objectives pursued. In this paper, we investigate the effects of a business development grant scheme. More specifically, we question whether firms’ performance measures increased after receiving such grants. Methodically, we match grant receiving firms with grant non-receivers and estimate the average treatment effect on the treated using a two-way fixed effects regression. Our results point towards a positive effect of the grant scheme, which is particularly evident for firms of smaller size. Our estimated dose-response functions show that the share of grant amount in firm profits needs to be high enough for the grants to be effective. According to back-of-the envelope analysis, benefits outweigh the direct scheme costs.

Previous work has found that a small number of export superstars contribute disproportionally to the economy’s overall exports. Differently from export superstars, this study is the first to define high growth exporters (HGXs) (that are not export superstars) as a new firm category. We provide their economic importance and depict their micro-level anatomy. By tracking HGXs in Croatia for over a quarter of a century, 44 out of 100 export superstars in 2019 were previously HGXs. HGXs represent only 0.5% of all firms and 18% of high growth firms (HGFs) in the economy, but are responsible for about 25% of new exports and 5% of new jobs. During their growth episode, HGXs hire more employees from technology intensive industries with previous experience in exporting. They often hire on a single year work contract, and more frequently send new employees to work abroad. HGX also increase their presence in more advanced markets, increase the number of new export products and decrease their reliance on the largest product or largest export market. We argue HGXs represent an under-researched category of firms.

During the economic slowdown caused by the financial crisis in 2008, grants for entrepreneurs were made available to support economic development. Whether such a policy instrument is effective for business development is a highly relevant question in the aftermath of the COVID-19. We evaluate the causal effects of small business development matching grants using a quasi-experimental approach. The grants were exclusively targeted to women entrepreneurs and provided during the recession after the financial crisis. Our findings demonstrate an increase in bank loans and a positive impact on turnover, value-added, capital, employment, and overall factor productivity for more experienced women entrepreneurs. As the grants are too small to have direct economic effects or indirect effects via the certification effect, they alleviate time and information constraints of women entrepreneurs. The cost-benefit analysis shows an increase in value-added that outweighs the scheme-related costs. This study evaluates the effect of small public grants for women entrepreneurs. Grants were used for childcare and business consultancy costs to alleviate time and information constraints of women entrepreneurs. Benefiting from these grants resulted in higher bank loans. The women entrepreneurs on average invested more money in capital and had better performance measures like turnover and value-added. The effect was particularly evident among more experienced women entrepreneurs. The cost-benefit analysis shows grant-induced increase in value-added outweighs the scheme-related costs. The study implies small public grants for women entrepreneurs increase small firms’ growth, and these grants are in addition a cost-effective policy tool.

This study analyses the determinants of the most widely used indicators of subjective well-being (SWB), namely life satisfaction and happiness, within European regions. In particular, we assess to what extent these two measures are related to strictly economic factors or alternatively are driven by social and institutional settings. Our analyses extend the corresponding literature by (1) focusing on European regions instead of nations of the whole world and thus allowing for intra-national differences; (2) highlighting the impact of social capital considered in a broad manner covering general trust, institutional trust, associational activity and the close social ties; and (3) modelling possible spatial influences from the neighbouring regions by estimating a spatial error model. The results indicate that such spatial autocorrelations indeed exist and that the various social capital components are major impact factors alongside the conventional determinants health, religion and unemployment, but that income does not exhibit a statistically significant influence on the SWB of the European regions considered.

Plant rooting strongly affects most hydrological, biogeochemical and ecological processes in terrestrial ecosystems, as it presents the main pathway for carbon, water and nutrient transfer from soil to the atmosphere and is a key factor in stabilizing the soil layer. Few studies have actually investigated the link between phytosociological and structural vegetation composition and diversity in soil rooting parameters. Our study provides a comprehensive evaluation of plant cover and diversity effects on rooting parameters dependent on different land-use types along a north–south transect in the Eastern Alps. We conducted field studies of root biomass, rooting density and rooting depth for the six main land-use types: intensively and lightly used hay meadows, pastures, arable land, agriculturally unused grasslands and forests. The variation in rooting parameters was explained by different aspects of species and functional richness, species and functional composition, functional traits, abundance of key species and site variables depending on the land-use types. Our results showed that different characteristics of biodiversity explained the variance in root parameters (mass, density and depth) to a high degree (determination coefficient R 2 values varied between 0.621 and 0.891). All rooting parameters increased with increasing plant species richness, as well as with a higher diversity of plant functional traits. The inclusion of site parameters significantly increased the explained variance, while we could not find evidence for key species and their abundance to provide additional explanatory power. Allowing the effects to vary depending on land-use types turned out to be a necessity supporting the importance of considering land-use types for rooting. The findings indicate that vegetation composition has a clear relationship with rooting parameters across different habitats in the European Alps. As the effect of plant composition differs with respect to the land-use type, rooting can be monitored by land management to achieve the desired benefits. For example, intensified rooting through extensive management decreases erosion risk and increases carbon uptake.

As carbon taxes gain traction in climate policy, public support remains limited. The purpose of this study was to investigate how different mineral oil tax designs, particularly those combining rebates and earmarking, affect public acceptance, and whether the effects are monotone. The data were based on an online survey that was conducted in 2022 in Austria (n = 1216). It was found that a tax increase of EUR 25-cents per liter is politically feasible if revenues are earmarked for public transport or climate protection and paired with moderate rebates. Other uses of revenue, especially the general budget, fail to achieve majority support, regardless of tax level or compensation. To capture non-monotonic and heterogeneous preferences, an adaptive-choice-based-conjoint experiment with hierarchical Bayesian estimation was employed. Rebates were modeled as a stand-alone attribute, allowing for the identification of non-monotonicities for this attribute. The findings show deviations from widespread monotonicity assumptions: a moderate tax increase (EUR 10-cent/liter) was preferred over no increase, even in the absence of earmarking. Similarly, larger annual rebates (EUR 200–300) reduced support compared to a EUR 100 rebate, which was most popular.

Lumbar puncture (LP) is recommended in patients with thunderclap headache and negative computed tomography to rule out spontaneous subarachnoid haemorrhage (SAH). Blood contamination of cerebrospinal fluid (CSF) due to traumatic LP poses a diagnostic dilemma. Therefore, routine CSF parameters were investigated to distinguish between SAH and a traumatic LP. CSF red blood cell (RBC), white blood cell (WBC) count, total protein, CSF colour and supernatant were used for group comparisons of patients with SAH and ‘symptomatic controls’. Due to variable time intervals between bleeding onset and LP in SAH patients in contrast to patients with traumatic LP, where blood contamination of CSF occurs at the time of LP, CSF variables were adjusted for decay in time to allow comparability. Logistic regression analysis identified bloody CSF [odds ratio (OR) 32.6], xanthochromic supernatant [OR 15.5] and WBC adjusted [OR 4.5 (per increase of 100/µl)] as predictors of SAH, while age, sex and CSF total protein adjusted were no predictors. Optimal cut-point of RBC adjusted (determined at day 1 after bleeding) was > 3667/µl to identify SAH patients with a 97% sensitivity and 94% specificity. Combination of low RBC and clear CSF supernatant was found in none of SAH patients. Combined CSF RBC count and CSF supernatant reliably distinguished traumatic LP from SAH.

Since the end of the nineteenth century, socio-economic changes have greatly altered the Central European landscape and the structural and functional quality of habitats. Urban sprawl areas have appeared, a reduction of multiple forest uses has resulted in the densification of forests and agricultural land use has changed fundamentally through specialisation and intensification. Many of these changes affect biodiversity. To determine the important drivers of spatio-temporal dynamics of the population of 28 game species, we first considered a total of 130 potential explanatory variables. Second, we aggregated the main drivers of single-species models for habitat guilds. Third, we evaluated the results to aid in the development and implementation of mitigation measures for different ecoregions. We used harvest data as a surrogate for population density from 1875 to 2014 in South Tyrol, Italy. In generalised linear models, we used environmental characteristics such as climate, landscape diversity and structures, land cover, hunting, wildlife diseases, competition and predation, land-use type, and intensity (including pesticide use) as explanatory variables to predict the spatio-temporal dynamics of game species. The important drivers are land use and management changes (intensification in the agriculturally favourable areas, extensification or abandonment in the unfavourable areas) as well as associated changes in the landscape features, diversity and structure, and hunting management. Climatic variables, interspecific competition and diseases only play a subordinate role. The dynamics of the habitat guilds and their drivers provide concrete indications for measures to maintain or improve the habitat quality for the investigated species. Particularly important are transfer payments to ensure extensive agricultural use, increasingly through the takeover of personnel costs, but also for the installation of an independent body that monitors and evaluates the effectiveness of the measures.

The kappa free light chain (κ-FLC) index is a sensitive marker of intrathecal immunoglobulin (Ig) synthesis and is increasingly used in cerebrospinal fluid (CSF) analysis of patients with suspected multiple sclerosis (MS). The relative contribution of the different Ig isotypes to intrathecal κ-FLC production remains unclear. We retrospectively analysed CSF data from patients with a first demyelinating event suggestive of MS enrolled in studies at the Medical Universities of Innsbruck and Vienna. Of all included patients, results on Ig and κ-FLC concentrations in CSF and serum were available. Linear regression analysis was used to assess the impact of Ig intrathecal fractions (IF) on κ-FLC index. A total of 188 patients with a median age of 31 (25-39) years and a predominantly female sex distribution (62%) were included. The κ-FLC index was significantly higher in patients with isolated intrathecal IgG synthesis [32.5 (17.7-81.0); n=130] compared to patients without intrathecal immunoglobulin production [3.0 (2.0-5.9); p<0.001; n=18] and was further elevated in patients with both intrathecal IgG and IgM synthesis [68.4 (48.4-120.6); n=29]. Both IgG and IgM IF independently contributed to the κ-FLC index in linear regression analysis, with IgG IF having approximately 3.5 times the effect size of IgM IF. Exploratory analysis of the contribution of IgA IF to κ-FLC index revealed qualitatively the same results. Increase of κ-FLC index in patients with MS is predominantly due to an intrathecal IgG synthesis, while the contribution of intrathecal IgM is less frequent and quantitatively low.

Risk of natalizumab-related progressive multifocal leukoencephalopathy is associated with the presence of anti-JC-virus (JCV) antibodies. To investigate the longitudinal evolution of anti-JCV antibody index and to determine the predictive value of baseline anti-JCV antibody index for long-term stability of anti-JCV antibody status. MS patients from the MS centre of Medical University of Innsbruck, who had serum sampling for a time period of 4-6 years at intervals of 6±3 months, were included in this retrospective, longitudinal study. Anti-JCV antibody serological status and index were determined by 2-step second-generation anti-JCV antibody assay. 154 patients were included in this study. Median follow-up time was 63.7 months, with median 11 samples available per patient. At baseline, 111 (72.1%) patients were anti-JCV antibody positive. Baseline anti-JCV antibody index significantly correlated with age (R = 0.22, p = 0.005); there was no difference with respect to sex, disease duration or previously used disease-modifying treatment. During follow-up anti-JCV antibody status changed from negative to positive or vice versa in 17% of patients. In seronegative patients at baseline, baseline anti-JCV antibody index was significantly lower in those remaining seronegative at follow-up compared to those converting to seropositivity (median 0.16 vs. 0.24, p = 0.002). In seropositive patients at baseline, index was higher in those remaining seropositive compared to those reverting to seronegativity (2.6 vs. 0.45, p<10-7). Baseline anti-JCV antibody index >0.90 predicted stable positive serostatus (sensitivity 88.7%, specificity 96.5%) and <0.20 stable negative serostatus (sensitivity 61.3%, specificity 97.6%). Anti-JCV antibody index remained relatively stable over 6-year follow-up with annual serostatus change of ~3%. Baseline anti-JCV antibody index predicted stable negative and stable positive JCV serostatus.