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Provedor de dados:  AgEcon
País:  United States
Título:  A hazai húsmarhatartás környezeti értékelése és externáliáinak vizsgálata benchmarking módszerrel
The environmental evaluation of meat cattle keeping in Hungary and its externalities using benchmarking
Autores:  Bakosne Borocz, Maria
Fogarassy, Csaba
Data:  2012-01-22
Ano:  2011
Palavras-chave:  Húsmarha
Extenzív
Benchmarkig
Környezet
Externália
Beef cattle
Extensive
Benchmarking
Environment
Externalities
Agribusiness
Environmental Economics and Policy
Livestock Production/Industries
Resumo:  Benchmarking alkalmazásával vizsgáltuk a hazánkban alkalmazott marhatartási technológiákat annak érdekében, hogy valamilyen módon az externális hatásokat be lehessen mutatni. A vizsgálataink eredménye, hogy a hagyományos technológia mellett található a legtöbb negatív externália, míg az extenzív, és az ökológiai tartásmód externális, valamint környezeti szempontból is a legjobb megoldást jelenti. ------------------------------ In our study we reviewed the conditions of extensive agricultural farming and its benefits based on environmental criteria. Furthermore we examined its external effects, which may affect the agriculture and the meat cattle breeding. Beef fattening, when done intensively, can cause huge environmental problems which may cause negative externalities for the society as well. To solve this problem, the European Union tries to steer this sector towards the grazing animal husbandry practice through an extensification premium. We used benchmarking to assess the cattle keeping methodologies. The aim of this method was to identify its external effects. Our examination found that the traditional technology accumulates most of the negative externalities, while the extensive and the ecological methods are the best solutions from the position of the environment.
Tipo:  Article
Idioma:  Húngaro
Identificador:  HU ISSN 0046-5518

http://purl.umn.edu/119900
Relação:  GAZDÁLKODÁS: Scientific Journal on Agricultural Economics>Volume 55, Number 2, 2011
55
2
Formato:  5
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