Search
Search Results
-
Risk and risk management in Hungarian sheep production
61-65Views:369The aim of this paper is to give an overview of the risk attitudes of Hungarian sheep producers regarding the changes they have had to go through since the political changes of 1989–1990. Moreover, the objective of this study is to strengthen the empirical basis for risk analysis by identifying the importance of farmers’ risk attitudes. The results of a nationwide survey of over 500 sheep farmers presented a framework of risk attitudes, risk sources and applied risk management techniques of livestock producers.
-
Factors influencing the gross value added in the sheep production chain
141-146Views:531The competitiveness of the sheep sector in East Europe has been decreasing from year to year. The value added in the sector is not generated in the countries as a high proportion of the lambs are exported. For example, in Hungary, 95% of the lambs, unnecessary for replacement, are sold at an average weight of 21 kg and are slaughtered abroad. A stochastic model was constructed to investigate the connections between the cycle phases of the mutton production. Three modules were distinguished, the lamb production, fattening and slaughtering-processing sub-modules. The aim of our study was to identify the gross value added generated in the three sub-modules and to analyse the main factors influencing its volume using the conditions in Hungary as an example. The major hypothesis of our research was that the profitability of the production chain is mainly determined by the breed. The results showed that, considering market prices, the gross value added in the processing module was mostly influenced by the number of lambs sold per ewe per year at the bottom level of the mutton product chain. The next most important factors were the weight gain in the lamb producing and fattening sub-modules and dressing percentage in slaughtering-processing sub-module. Contour plots were constructed which help to describe the relationship among analyzed factors. Using the contour plots, the gross value added for different combinations of these factors might be forecast.
-
POSITIVE EFFECTS OF CULTIVATION TECHNOLOGIES BASED ON GEOREFERENCED DATA ON THE ECONOMIC SUSTAINABILITY OF WINTER WHEAT PRODUCTION
Views:275Elements of precision farming, such as auto-steer navigation, section control and variable rate application, can have a positive impact on farming performance, yet the uptake of these technologies has been slow and farmers are not convinced that they can achieve ad- ditional benefits by switching to them. Therefore, the authors considered it important to examine the impact of precision farming on winter wheat yields based on data from Hungarian farms. Yield data from farms with a yield map in the MyJohnDeere database from 2018-2022 and yield and cost data from 48 farms with Variable Rate Application (VRA) from 2018-2022 were evaluated and compared to the national average. MyJohnDeere and VRA farms had significantly higher yields in all years. Despite the cost saving from the introduction of precision farming, such as non-overlapping input application, the total costs of the examined VRA farms were higher, which can be explained by more intensive production beyond precision farming. It can also be argued that the additional inputs of the VRA farms were outweighed by the additional production value, with their specific incomes being higher than the national average in all years. In conclusion, the profitability of winter wheat production - and thus its resilience to a changing economic environment - can be increased at farm scale by adapting preci- sion farming. Technological change by farmers, in particular the widespread adoption of variable rate application, could also increase the sustainability of winter wheat production at the farm scale.
-
Role of innovations and knowledge – infrastructure and institutions
7-10Views:522There is a well known saying: Research converts money into knowledge, innovation converts knowledge into money. The knowledge-based economy has four pillars: innovation, education, the economic and institutional regime, and information infrastructure. Transformation towards a knowledge-based economy will necessarily shift the proportion and growth of national income derived from knowledge-based industries, the percentage of the workforce employed in knowledge-based jobs and the ratio of firms using technology to innovate. Progress towards a knowledge-based economy will be driven by four elements: human capital development, knowledge generation and exploitation (R&D), knowledge infrastructure. Increased investment in these four areas will certainly have an impact. National experience, however, suggests that an incremental approach will not work. Nations that have achieved accelerated growth in outputs and capabilities have acted decisively, targeting investments in areas of strategic opportunity. The organizational and infrastructural improvement of research requires supranational cooperation and the promotion of the free movement of knowledge. Therefore, the EU decision on the establishment of the European Institute of Innovation and Technology (EIT), which ensures that the GDP proportion for research and development (R&D) shall achieve 3% stipulated by member states in the long run, is particularly welcome.
-
Proposals for low-carbon agriculture production strategies between 2020 and 2030 in Hungary
5-15Views:508When viewed from the perspective of climate policy, agriculture as a separate sector is one of the most difficult development areas to assess. One of the reasons for this is the problem of the localization of greenhouse gas emitters, caused by the fact that production takes place in small or dispersed production units. The special circumstance that unit production takes place in complex interactive systems (food, feed, energy sources, main products, by-products, etc.) is yet another special factor, which in addition makes it significantly more difficult to measure and identify the GHGs they emit than if they were a uniform production plant. Additionally, there are few sectors outside agriculture where decision-makers encounter such strong opposition and lobby interests when developing limiting regulations. This stems from the fact that following World War II, European decision-makers and the Common Agricultural Policy elevated agriculture to a prominent role whose importance was indisputable. As a result, both climate policy and other measures that would result in any reduction of the priority of the sector are very difficult to implement, since the players involved always reason that limitations would restrict their competiveness and the security of their production. In addition, the uncertain nature of regulatory elements also poses a grave problem. As an example, the name of the sector itself – the LULUCF (Land Use, Land Use Change and Forestry) sector – shows that the strategy for reducing the greenhouse gasses emitted by the whole sector would be significantly different if these units were treated separately (agricultural land use, forest, not-cultivated areas). Taking the above into account, the present study aims to identify development directions that in turn allow those low-carbon development directions to be pinpointed within animal husbandry and plant production that have the greatest feasibility and can contribute to decreasing the GHG environmental load exerted by agriculture.
-
Key aspects of investment analysis
53-56Views:1045This paper reviewed principally accepted methods applied to investment analysis. To describe every aspect of investment analysis fully would require far more space than available here, so we highlight only of few of its aspects. This study collects several well-known bibliographies, contrasts them with each other and provides explanations for having done so. There are many questions about which authors and companies agree, including about how to apply certain methods, but on others there is disagreement. Four dynamic methods (Net Present Value, Internal Rate of Return, Profitability Index, and Discounted Payback Period) are demonstrated from the viewpoint of application. Moreover, this study clarifies several sensitive questions, such as handling income taxes, inflation and uncertainty. Other examined issues are only mentioned at the end of this paper, and we will publish on these more thoroughly at a later date.
Keywords
