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Labour Market Attributes Of Disabled People In Hungary

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  • Nagymate, Nora

Abstract

Nowadays employment is an evergreen topic in Europe. The North Great Plain Region of Hungary is a typical rural area in Hungary, the unemployment rate is higher in this region as the national average, that’s why it is important, to give the possibility of job for the people living in rural areas. This paper focuses on the relationship between the disabled and the labour market in the North Great Plain Region of Hungary. On the basis of the 8/1983 Hungarian Law many kinds of supplies are provided by the State for people living with disabilities. It is very difficult to provide jobs for these people after their rehabilitation. Statistical figures show that the highest ratio of ‘people living with disabilities’ can be found in the North Great Plain Region of Hungary (30 per cent of the total number of ‘people living with disabilities’). The research focuses on special rehabilitation firms (they are specialised to employ disabled employers) and their employees. Two questionnaires for the above mentioned firms and their employees were created in order to gather information on their activities as well as relationship between the firms and its employees. Altogether 400 employees filled in the questionnaires. The current study shows the results of this survey. It can be stated that this paper shows the relationship between the employment and the types of enterprises, and disabled workers’ qualification level, the need for further education. According to the latest trends we analyse the attitude to the rehabilitation of people living with disabilities and how they will be able to work again not only in ‘rehabilitation firms’. After summarizing all claims of participants we can make an impression in this area and demonstrate the problems for the labour market generally.

Suggested Citation

  • Nagymate, Nora, 2012. "Labour Market Attributes Of Disabled People In Hungary," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 6(1-2), pages 1-4, September.
  • Handle: RePEc:ags:apstra:138098
    DOI: 10.22004/ag.econ.138098
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    Keywords

    Labor and Human Capital;

    Statistics

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