Regional markets with agricultural workforce based on Labour offices' data
František Nohel,
Daniela Spěšná and
Pavel Pospěch
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František Nohel: Ústav zemědělské ekonomiky a informací, Kotlářská 53, 602 00 Brno, Česká republika
Daniela Spěšná: Ústav zemědělské ekonomiky a informací, Kotlářská 53, 602 00 Brno, Česká republika
Pavel Pospěch: Ústav zemědělské ekonomiky a informací, Kotlářská 53, 602 00 Brno, Česká republika
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011, vol. 59, issue 4, 177-186
Abstract:
The changes in Czech agriculture over the past twenty years have had their impact on the agricultural labour market, too. The regional differentiation of the chances of applicants on the labour market as well as the agricultural enterprises' chances of hiring employees fitting their requirements, are, among others, influenced by the specific conditions of agricultural production. The aim of this paper pertains to two basic problem areas: first, the differentiation of respective regions based on the number of agricultural applicants and job vacancies, and second, the identification of disequilibrium on the agricultural labour market. The latter is based on a theoretical framework defined by approaches in economy dealing with labour market equilibrium. Due to the unavailability of economic data (including wages, economic performance, etc.) on the regional level, authors develop their own methodological approach, based on the number of applicants per job vacancy. A database of applicants and vacancies available from the Labour Offices is used as a source for the analysis and interpretation of data, enabling us to study the agricultural labour market not only sector-wise but also region-wise.
Keywords: regional disparities; supply; demand and equilibrium on the labour market; applicants; vacancies; Gini coefficient; Lorenz curve (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2011059040177
DOI: 10.11118/actaun201159040177
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