Trade Credit in the UK Economy (199882012): An Exploratory Analysis of Company Accounts

Author(s):  
Nicholas Wilson
2021 ◽  
Author(s):  
Maddy French ◽  
Mark Spencer ◽  
Mike Walker ◽  
Afzal Patel ◽  
Neil Clarke ◽  
...  

Introduction In addition to the direct impact of COVID-19 infections on health and mortality, a growing body of literature indicates there are wide-ranging indirect impacts of the COVID-19 pandemic and associated public health measures on population health and wellbeing. Exploring these indirect impacts in the context of a socially deprived UK coastal town will help identify priority areas to focus COVID-19 recovery efforts on. Methods Data on primary care diagnosis, hospital admissions, and several socioeconomic outcomes between 2016 and Spring 2021 in the UK town of Fleetwood were collected and analysed in an exploratory analysis looking at pre- and post- COVID-19 patterns in health and social outcomes. Weekly and monthly trends were plotted by time and differences between periods examined using Chi-squared and t-tests. Results Initial falls in hospital admissions and diagnoses of conditions in primary care in March 2020 were followed by sustained changes to health service activity for specific diagnostic and demographic groups, including for chronic kidney disease and young people. Increases in the number of people receiving Universal Credit and children eligible for free school meals appear to be greater for those in the least deprived areas of the town. Discussion These exploratory findings provide initial evidence of the sustained impact of the pandemic across several health and social outcomes. Examining these trends in multivariate analyses will further test these associations and establish the strength of the medium term impact of the pandemic on the population of this coastal town. Advanced modelling of this data is ongoing and will be published shortly.


2021 ◽  
Vol 36 (3) ◽  
pp. 368-385
Author(s):  
Yasaman Sarabi ◽  
Matthew Smith

Purpose This paper aims to provide an exploratory analysis of male and female directors, comparing the case of UK FTSE 350 boards of directors for 2010–2018, with Norwegian boards from 2002 to 2018, to examine patterns of busy female directors. This paper considers the differences between the effects of interest groups’ actions and those of quotas on the emergence of busy female directors. Design/methodology/approach This paper uses a longitudinal approach, providing an examination of both non-busy directors and busy directors sitting on the boards of UK and Norwegian firms, with a focus on female directors. Drawing on methods from social network analysis, several trends and patterns are mapped for the two corporate systems. The paper tests whether the proportion of busy male directors is significantly different from the proportion of busy female directors in the two institutional settings. Findings The results show there has been an increase in the proportion of busy female directors, whereas the level of busy male directors is slightly decreasing in the UK from 2010 to 2018. In Norway, following the introduction of gender quotas on corporate boards, there has been an increase in overboarded directors, especially female directors, along with the rise of so-called “golden skirt” directors. However, when compared to the UK case, the proportion of busy male and female directors is higher, suggesting that the emergence of the golden skirts in Norway is not a result of quotas alone. Originality/value The topic of busy directors has received increased attention in recent years, yet the gender of these directors is often neglected. This paper provides an overview of the characteristics of busy female directors for large UK and Norwegian firms, presenting avenues for future research.


2018 ◽  
Author(s):  
Alex Diaz-Papkovich ◽  
Luke Anderson-Trocmé ◽  
Simon Gravel

AbstractGenetic structure in large cohorts results from technical, sampling and demographic variation. Visualisation is therefore a first step in most genomic analyses. However, existing data exploration methods struggle with unbalanced sampling and the many scales of population structure. We investigate an approach to dimension reduction of genomic data that combines principal components analysis (PCA) with uniform manifold approximation and projection (UMAP) to succinctly illustrate population structure in large cohorts and capture their relationships on local and global scales. Using data from large-scale genomic datasets, we demonstrate that PCA-UMAP effectively clusters closely related individuals while placing them in a global continuum of genetic variation. This approach reveals previously overlooked subpopulations within the American Hispanic population and fine-scale relationships between geography, genotypes, and phenotypes in the UK population. This opens new lines of investigation for demographic research and statistical genetics. Given its small computational cost, PCA-UMAP also provides a general-purpose approach to exploratory analysis in population-scale datasets.Author summaryBecause of geographic isolation, individuals tend to be more genetically related to people living nearby than to people living far. This is an example of population structure, a situation where a large population contains subgroups that share more than the average amount of DNA. This structure can tell us about human history, and it can also have a large effect on medical studies. We use a newly developed method (UMAP) to visualize population structure from three genomic datasets. Using genotype data alone, we reveal numerous subgroups related to ancestry and correlated with traits such as white blood cell count, height, and FEV1, a measure used to detect airway obstruction. We demonstrate that UMAP reveals previously unobserved patterns and fine-scale structure. We show that visualizations work especially well in large datasets containing populations with diverse backgrounds, which are rapidly becoming more common, and that unlike other visualization methods, we can preserve intuitive connections between populations that reflect their shared ancestries. The combination of these results and the effectiveness of the strategy on large and diverse datasets make this an important approach for exploratory analysis for geneticists studying ancestral events and phenotype distributions.


2010 ◽  
Vol 211 ◽  
pp. R1-R2 ◽  
Author(s):  
Ray Barrell

The downturn in global economic activity that started in 2008 was turned into a major recession after the failure of Lehman Brothers in September 2008. It appears that world output fell by more than 1 per cent in 2009, and OECD output probably fell by around 3½ per cent. The effects on output were more marked in the Euro Area and the UK than they were in the US or Canada, which partly reflects the policy responses chosen by Treasuries and Central Banks. The financial crisis that drove the recession affected banks in the US, the UK, the Euro Area and the rest of Europe rather more than it did those in Canada, Australia and Japan. However, recessions have been common, with only Australia and Poland appearing to avoid them. The financial crisis led rapidly to a freezing of trade credit, which caused world trade to decline very sharply at the beginning of 2009. The financial crisis also led to an increase in risk premia in investment decision-making and hence to a decline in the equilibrium capital output ratio, which caused a sharp reduction in the demand for capital goods. Combined with credit rationing effects for firms needing access to borrowing, this induced a collapse in investment. Trade channels made the crisis global, as did movements in exchange rates. Interest rates were cut sharply in the US, Europe and Japan, and approached levels seen in Japan for the previous decade. As a result the yen appreciated strongly, and the combination of the effects of this appreciation on competitiveness and the decline in investment goods trade meant that Japan suffered worse than most other countries, at least in the short term.


2016 ◽  
Vol 64 (2) ◽  
pp. S465 ◽  
Author(s):  
N. Selvapatt ◽  
T. Ward ◽  
A. Ananthavarathan ◽  
B. Khan ◽  
S. Webster ◽  
...  

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