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MBA education at Debrecen University Faculty of Agricultural Economics and Rural Development
79-86Views:554Debrecen is the capital of the Great Hungarian Plain, the centre of many institutions, organizations and business companies just in the heart of Europe. It has provided an ideal setting for higher education since 1538. With this past of more than 450 years, the University of Debrecen is the oldest higher educational institution in continuous operation in Hungary based in the same city. Higher education in agriculture began in 1868, when the National Higher School of Agriculture was formed in Debrecen. The University of Debrecen has more than 26 000 students, and more than 1700 instructors teach at the University, which has 13 faculties, 2 independent institutions, 20 doctoral schools and offers the widest choice of higher education. This outstanding intellectual centre, with a vast research and development capacity, has a growing importance in the economic and social development, cultural progress of the region. It devotes special attention to serving the needs of a knowledge based society more efficiently, and it strives to become the knowledge centre of the region, which also preserves traditions and values.
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Demand and supply of labor market: A case of UAE
145-153Views:439United Arab Emirates (UAE) witnessed a progress of growth booming since its establishment, which as result puched all economic componets to indicated a active movement in term of employment and capital investment as well. This steady economic growth has been marked by an increase in the income by the country’s citizens, both national as well as the foreign residents This paper to axamine the supply and demand of labor market in UAE. The technique used to source the data is a secondary resource and methodology employed in descriptive and analytical. The study found that, the diversification of the economy, and enhance the role of private sector increased the demand for labor as well as increased the diversification for nationalities in the country. From other side, because of diversification strategy, the foreigners labor have more numbers in total employment structure.
JEL CODE: O12
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Analysis of the influential factors on gross value added in the Hungarian sheep sector
107-112Views:553The competitiveness of the Hungarian sheep sector has been in steady decline for some time now. Crucial has been the problem that the value added in the sector is not generated in Hungary, as most of the produced lambs in Hungary leave the country with an average weight of 21 kilograms, with slaughtering happening abroad.A model has been constructed for our investigations, which introduces the connections between the product cycle phases for mutton in Hungary. This model allows us to calculate the volume of gross value added generated within specific product cycle phases. We used Monte Carlo simulation for our examination, for which the Crystall ball software package was utilized, namely the OptQuest module, for optimization. First, we conducted an optimization of an experiment number of 500,000 for “Gross value added” in the case of the slaughterhouse. During the optimization, Easter, Christmas and August lamb ratio and ewe number, as well as progeny, were set as decision variables and examined as values of gross value added, the decision variables of which contribute to obtaining the best results. The gained decision variables were set in the model and a Monte Carlo simulation was run with an experiment number of 500,000, where only the values of the conditions were changed along the pre-set dispersion; the values of the decision variables were fixed. The most significant aim of our investigation was to identify the volume of gross value added generated during processing in various phases of the product chain and the change of which inputs affected this volume the most. The findings proved that, in the case of capital uniformity, the output of processing was most influenced by sheep progeny on the bottom level of the mutton product chain. This factor is followed by that of weight gain in the source material producing and fattening sub-modules, as well as the gross wage in starter lamb feed 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.
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Structural change in Republika Srpska – small farms between subsistence orientation and modernization
51-58Views:335The paper aims to analyze the main barriers and opportunities for the modernization of the agricultural sector of Republika Srpska with a specific focus on the role of small farms.A particular attention has been given to specific elements related to the human, social, and institutional capital. Methodologically the work has been based on an extensive desk research, on the use of a field survey and on a number of personal interviews with national experts and professionals. Overall the investigation has also greatly benefited from the theoretical framework elaborated by R.Yin within the “case study methodology”.
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Interrelation of Large-Scale Property Development Project and the Local Real Estate Market. Evidence from Hungary
37-46Views:385The Hungarian real estate market has gone through a widely fluctuating phase in the new millennium, which has not missed periods of surge, crisis-driven gloom and recovery. Amidst these conditions, an international developer engaged in a large-scale, long-timeframe residential property building project (Sasad Liget Residential Complex) in District XI of the Hungarian capital. The article examines the exposures and impacts of the development project to the external factors. The deployed quantitative statistical methods reveal that despite the considerable weight of the project, the in-market performance of SLRC has been the function of the general swings of the sector. Further, although the project generated higher demand than the bulk of other properties in the vicinity, its weight has not been enough to impact the property market of District XI at a statistically significant degree.
JEL Classification: E31, R31
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