Hidden underemployment among Irish farm holders 2002–2011
نویسندگان
چکیده
منابع مشابه
Work-related musculoskeletal disorders among Irish farm operators.
BACKGROUND To establish prevalence, risk factors, and impact of work-related musculoskeletal disorders (WMSDs) among farmers in Ireland. METHODS In summer 2009, a questionnaire was appended to the Teagasc (Irish Agricultural and Food Development Authority) National Farm Survey (n = 1,110) to obtain data on the prevalence, risk factors and impact of WMSDs amongst farm operators in Ireland. Dat...
متن کاملUnderemployment and relative deprivation among re-employed executives
Using a sample of 517 executives who lost their jobs as a result of downsizing, this study examined underemployment among managers in replacement jobs taken after their layoffs. Laid-off executives who were re-employed in jobs which paid less, were at lower levels of organizational hierarchies and which did not fully utilize their skills had consistently lower job attitudes. In addition, the re...
متن کاملRecreational Pursuits on Marginal Farm Land: A Discrete-Choice Model of Irish Farm Commonage Recreation
In the last decade the demand for rural recreation has increased in Ireland as the population has become increasingly urbanised. Increased affluence, mobility and changing values have also brought new demands with respect to landscape, conservation, heritage and recreation, with a greater emphasis on consumption demands for goods and services in rural areas. This paper’s contribution to the und...
متن کاملMusculoskeletal disorders among Irish farmers.
BACKGROUND Farming is an occupation that predisposes individuals to health problems including musculoskeletal disorders (MSDs). There is limited research regarding MSDs among farmers especially in Ireland. AIMS To establish the prevalence of MSDs, identify the most commonly affected body regions and to explore what factors may influence the development of the most common MSDs among farmers in...
متن کاملIdentification of Opinion Holders
Opinion holder identification aims to extract entities that express opinions in sentences. In this paper, opinion holder identification is divided into two subtasks: author’s opinion recognition and opinion holder labeling. Support vector machine (SVM) is adopted to recognize author’s opinions, and conditional random field algorithm (CRF) is utilized to label opinion holders. New features are p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Economics
سال: 2014
ISSN: 0003-6846,1466-4283
DOI: 10.1080/00036846.2014.925077