Suchergebnisse

Background Northern Ireland consistently experiences a higher rate of economic inactivity compared to other regions of the UK, currently 27% of the working age population compared to 22% in the UK. Historically, the major variance in explaining higher NI economic inactivity rates has been larger proportions of long-term sick/disabled. Only 34.7% of the NI population with a disability are employed compared to 77.9% of the non-disabled population.
Aim The aims were to explore the relationship between chronic health status and the labour-market in NI, and how receipt of DLA is associated with economic inactivity.
Methods This study links the 2011-NI-Census records, DLA-dataset, death registrations for the Census population, settlement-band data, the Land and Property Service capital-valuation of property, and the NI-Multiple-Deprivation Measure. The economically active population was defined as all individuals that were either employed or unemployed but looking for a job at the time of the 2011-Census.
Results Men with mental-health conditions reporting a lot of limitation in day-to-day activities are almost 51 times more likely to be economically inactive compared to men with no health condition (ORadj=50.99, 95%CI:46.8,55.6). Learning/mental-health conditions are more likely to be associated with economic inactivity in both women and men compared to physical health conditions, such as long-term pain, mobility or breathing difficulties. Individuals in receipt of DLA are more than twice as likely to be economically inactive as their peers who are not in receipt of DLA.
Conclusion Individuals with mental-health conditions reporting a lot of limitation in day-to-day activities have the lowest rates of participation in the labour-market. A lot of limitation in the day-to-day activities appears to be strongly associated with economic inactivity regardless of the health condition. DLA uptake is associated with considerably reduced likelihood of being economically active overall while the health conditions underlying DLA uptake are strong barriers to access the labour-market in NI.

The group of economically inactive women is heavily diversified. The reasons for staying outside the labour market are the important factors that differentiate this group. They depend on the age or level of education among others. In addition, there is great geographical heterogeneity of the reasons for economic inactivity. Hence, two questions arise. Firstly, how significant is the geograph­ical diversity of the reasons for staying outside the labour market in the European Union? Secondly, have these geographical differences been changing over time? The main aim of the analysis is the classification of the EU countries taking into consideration reasons for women's economic inactivity in different age groups. The analysis is carried out applying descriptive statistics and the k‑means method. The data are taken from the publicly available Eurostat's Labour Force Survey datasets. The study of general tendencies in women's economic inactivity covers the years 2000–2016. In turn, cluster analysis was carried out for data from 2006, 2010 and 2014. The obtained results confirmed significant diversity of the EU states. In addition, this geographical diversity has been changing over time. We receive the greatest similarity of classification obtained for different periods for the 50–64 age group and the smallest for the 25–49 age group. Moreover, there are noticeable tendencies of a significant decrease in the share of the economically inactive in the group of the oldest individuals (aged 50–64) in the sample. On the other hand, in the youngest group (individuals aged under 25), there are opposite tendencies observed – the share of those who remain outside the labour market increases.

PurposeTo study the relationship between organization structure and socio‐economic impact in the Welsh music industry and the potential role of social enterprises.Design/methodology/approachThe economic value of social enterprise and the role of creative industries in urban regeneration are discussed from the viewpoint of the inclusion of marginalized workers, especially the young, into the labour‐market. Discusses the increasing political interest in social enterprise and explores evidence for this policy interest, including whether the nature of the governance and management structure of social enterprises influences their social and economic impacts. Reports preliminary stages of the research project and presents evidence gathered through case studies of three unnamed music businesses based in South Wales comprising: a development agency based on co‐operative principles; a loosely organized collective of practitioners and trainers; and a limited liability company. Explains that all three companies began by focusing on hip‐hop music but have developed in different directions and have also developed distinct forms of governance, and this enable the relationship between governance, the music industry, and socio‐economic outcomes to be studied.FindingsThe critical analysis of the potential of social enterprises to achieve social and economic regeneration supports the authors' own conception of mutual economic activity in terms of what they call "associative entrepreneurship". Concludes that this concept is needed because the existing definition of social enterprise has become too wide to have analytical value. Notes that the authors hope to present the research findings to a conference of creative industries' academics in the coming year.Originality/valuePresents the authors' preliminary attempts to apply their knowledge of the social economy to the music industry as the first stage of a research project funded by the Welsh Assembly.

AbstractIn this paper, we examine the labour market effects of lowering the UK's benefit cap in 2016. This policy limits the total amount a working‐age non‐disabled household with no‐one in employment can receive in social security. We treat the sharp reduction in this benefit cap as a natural experiment, comparing those at risk of being capped and those who were not before and after the cap was lowered. Drawing on data from ~500,000 individuals, we find that this reform reduced unemployment compared to those not at risk of being capped. The reform also increased economic inactivity, partly because the cap harmed mental health but also because those at risk of being capped were eligible to claim disability‐related welfare payments that made them exempt. Limiting total monthly welfare payments of low‐income families may increase employment for some but it can also push others out of the labour market altogether.

The category of not in employment, education or training (NEET) refers to young people who are recorded as neither in paid employment nor formal education either at one time point, or for a continuous period. This article assesses levels of employment scarring for those aged 36–39, at Census 2011 (prime employment years) who were recorded as NEET when aged 16–19 at Census 1991 in Scotland. Outcomes are compared for those who moved from NEET into economic activity and by gender. We find evidence that NEET status leads to long-term scarring associated with economic inactivity and unemployment and that this is only partially offset for those who moved from NEET in 1991 to be economically active in 2001. The results also highlight gendering of NEET outcomes. NEET may be a category borne of administrative convenience, rather than sociological consistency but, as intended, it captures a group who experience disadvantage.

The group of economically inactive women is heavily diversified. The reasons for staying outside the labour market are the important factors that differentiate this group. They depend on the age or level of education among others. In addition, there is great geographical heterogeneity of the reasons for economic inactivity. Hence, two questions arise. Firstly, how significant is the geograph­ical diversity of the reasons for staying outside the labour market in the European Union? Secondly, have these geographical differences been changing over time? The main aim of the analysis is the classification of the EU countries taking into consideration reasons for women's economic inactivity in different age groups. The analysis is carried out applying descriptive statistics and the k‑means method. The data are taken from the publicly available Eurostat's Labour Force Survey datasets. The study of general tendencies in women's economic inactivity covers the years 2000–2016. In turn, cluster analysis was carried out for data from 2006, 2010 and 2014. The obtained results confirmed significant diversity of the EU states. In addition, this geographical diversity has been changing over time. We receive the greatest similarity of classification obtained for different periods for the 50–64 age group and the smallest for the 25–49 age group. Moreover, there are noticeable tendencies of a significant decrease in the share of the economically inactive in the group of the oldest individuals (aged 50–64) in the sample. On the other hand, in the youngest group (individuals aged under 25), there are opposite tendencies observed – the share of those who remain outside the labour market increases. ; Grupa kobiet biernych zawodowo charakteryzuje się znaczną heterogenicznością. Jednym z czynników różnicujących tę grupę są powody pozostawania poza rynkiem pracy. Zależą one między innymi od wieku czy poziomu wykształcenia. Dodatkowo istnieje duża niejednorodność geograficzna przyczyn bierności zawodowej. Stąd nasunęły się dwa pytania: 1) "jak znaczna jest niejednorodność geograficzna powodów pozostawania poza rynkiem pracy na obszarze Unii Europejskiej?", 2) "czy to zróżnicowanie geograficzne zmienia się w czasie?". Celem prezentowanej analizy była klasyfikacja państw UE ze względu na przyczyny bierności zawodowej kobiet w różnych grupach wiekowych. Analiza została przeprowadzona z wykorzystaniem metody k‑średnich. Dane wykorzystane w analizie pochodzą z ogólnodostępnych baz danych Eurostatu, z Badania Aktywności Ekonomicznej Ludności (EU‑Labour Force Survey). Ocena tendencji związanych z biernością zawodową w grupach wiekowych została przygotowana na bazie danych obejmujących okres 2000–2016. Z kolei analiza skupień została przeprowadzona dla danych z lat 2006, 2010 i 2014. Uzyskane wyniki potwierdziły znaczne zróżnicowanie państw UE ze względu na przyczyny bierności zawodowej kobiet w różnych grupach wiekowych. Dodatkowo ta różnorodność geograficzna zmienia się w czasie. Największe podobieństwo klasyfikacji między poszczególnymi okresami uzyskano dla grupy wiekowej 50–64 lata, a najmniejsze dla grupy 25–49 lat. Ponadto w analizowanym okresie zauważalne jest znaczne zmniejszanie się zjawiska bierności zawodowej w grupie najstarszych osób. Z kolei w grupie najmłodszej, obejmującej osoby do 25. roku życia, tendencje są odwrotne – udział pozostających poza rynkiem pracy zwiększa się.

Overriding Research Objectives: The overriding research objective of this research project aimed at researching inactivity in the labour market from a gender perspective. This was researched by way of two Activities. ACTIVITY I: to analyse inactivity from a gender perspective. This research project focused on identifying, understanding and validating the reasons underlying the inactivity of the female segment in the Maltese and Gozitan population. ACTIVITY II: to conduct an 'inactive population skills' study to understand better where and why the skills of the inactive do not match the requirements of the current labour market. ; N/A

ABSTRACTThis paper examines the transitions between the labour market and inactivity in Britain between 1995 and 2004. A substantial degree of behavioural heterogeneity exists between inactive individuals, and the social security system appears to influence both the timing and probability of moving between labour market states. The results presented here suggest that policy makers should not be misled by the term 'hidden unemployment', into thinking that substantial spare capacity exists on the periphery of the labour force. In light of recent proposals to reduce the number of Incapacity Benefit claimants, it is important to note a high degree of detachment among the long‐term sick and disabled, reinforced by duration dependence and poorer educational attainment.