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001-es BibID:	BIBFORM044062
Első szerző:	Cehla Béla (gazdasági agrármérnök)
Cím:	Analysis of the influential factors on gross value added in the Hungarian sheep sector / Béla Cehla, Sándor Kovács, András Nábrádi
Dátum:	2012
Megjegyzések:	The competitiveness of the Hungarian sheep sector has been in steady decline for some time now. Crucial has been the problem thatthe value added in the sector is not generated in Hungary, as most of the produced lambs in Hungary leave the country with an average weightof 21 kilograms, with slaughtering happening abroad.A model has been constructed for our investigations, which introduces the connectionsbetween the product cycle phases for mutton in Hungary. This model allows us to calculate the volume of gross value added generated withinspecific product cycle phases. We used Monte Carlo simulation for our examination, for which the Crystall ball software package wasutilized, namely the OptQuest module, for optimization. First, we conducted an optimization of an experiment number of 500,000 for "Grossvalue added" in the case of the slaughterhouse. During the optimization, Easter, Christmas and August lamb ratio and ewe number, as wellas progeny, were set as decision variables and examined as values of gross value added, the decision variables of which contribute toobtaining the best results. The gained decision variables were set in the model and a Monte Carlo simulation was run with an experimentnumber of 500,000, where only the values of the conditions were changed along the pre-set dispersion; the values of the decision variableswere fixed. The most significant aim of our investigation was to identify the volume of gross value added generated during processing invarious phases of the product chain and the change of which inputs affected this volume the most. The findings proved that, in the case ofcapital uniformity, the output of processing was most influenced by sheep progeny on the bottom level of the mutton product chain. Thisfactor is followed by that of weight gain in the source material producing and fattening sub-modules, as well as the gross wage in starter lambfeed and meadow hay in the source material producing sub-modules. Contour plots helped to describe the connections between these factors.By using contour plots, the volume of gross value added might be forecast for various combinations of factors.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény hazai lapban Economic globalization Hungarian Sheep Sector Human trafficking gross value added contour plot Greater Mekong Sub-region countries
Megjelenés:	Apstract. - 6 : 1-2 (2012), p. 107-112. -
További szerzők:	Kovács Sándor (1978-) (matematika tanár) Nábrádi András (1956-) (közgazdász, agrárökonómus)
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM044064
Első szerző:	Cehla Béla (gazdasági agrármérnök)
Cím:	Factors influencing the gross value added in the sheep production chain / B. Cehla, S. Kovács, M. Wolfová, I. Komlósi & A. Nábrádi
Dátum:	2012
Megjegyzések:	The competitiveness of the sheep sector in East Europe has been decreasing from year to year. The value added in the sector is notgenerated in the countries as a high proportion of the lambs are exported. For example, in Hungary, 95% of the lambs, unnecessary forreplacement, are sold at an average weight of 21 kg and are slaughtered abroad. A stochastic model was constructed to investigate theconnections between the cycle phases of the mutton production. Three modules were distinguished, the lamb production, fattening andslaughtering-processing sub-modules. The aim of our study was to identify the gross value added generated in the three sub-modules and toanalyse the main factors influencing its volume using the conditions in Hungary as an example. The major hypothesis of our research wasthat the profitability of the production chain is mainly determined by the breed. The results showed that, considering market prices, the grossvalue added in the processing module was mostly influenced by the number of lambs sold per ewe per year at the bottom level of the muttonproduct chain. The next most important factors were the weight gain in the lamb producing and fattening sub-modules and dressingpercentage in slaughtering-processing sub-module. Contour plots were constructed which help to describe the relationship among analyzedfactors. Using the contour plots, the gross value added for different combinations of these factors might be forecast.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény hazai lapban sheep litter size gross value added contours simulation model Hungarian Sheep Sector gross value added contour plot
Megjelenés:	Apstract. - 6 : 5 (2012), p. 141-146. -
További szerzők:	Kovács Sándor (1978-) (matematika tanár) Wolfová, Marie (agrár) Komlósi István (1960-) (agrármérnök) Nábrádi András (1956-) (közgazdász, agrárökonómus)
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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