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• Risk and risk management in Hungarian sheep production

  61-65

  András Nábrádi

  Hajnalka Madai

  Views:

  193

  The 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.

• Some possibilities for risk analysis in the decision support of crop production

  79-85

  Lajos Nagy

  Views:

  165

  This article has been made according to my dissertation in which I present some opportunity of risk analysis and risk management in the decision support of crop production. Plant production is one of the most hazardous agricultural enterprises. Among risk sources seasonal fluctuation of average yields plays an important role in the assessment of enterprises. Therefore, I analyzed the production risk of the produced crops in Hungary compared to the European Union’s, after that I took into consideration the production site’s circumstances as well. Decision-makers must possess such means, by which they can measure, oversee and manage the effects and consequences of risk. In crop production linear programming models can be used to determine the optimal crop structure, by which income-sensitivity can be taken into account, but it does not reflect the behavior to risk. This deficiency can be avoided by using risk programming models. By the complementary usage of linear programming and risk programming models the optimizing and adaptive planning can be executed. It often causes a problem for the producers to decide when and how much to sell to realize a maximum turnover. The decision is mostly influenced by the selling prices, but also important factors are the financial status of the business, the amount of credit and its conditions, the stock piling opportunities and costs, and the short-term investment opportunities as well. For the resolution of the problem I set up a dynamic, simultaneous financial model by which the system-conceptual analysis of the above mentioned factors and a sound decision-making can be executed.

• More insurance subsidies for European farmers – is it needed?

  33-38

  Anna Lóránt

  Maria Farkasné Fekete

  Views:

  160

  In addition to traditional sources of uncertainties, such as market price volatility and animal and plant health-related risks, the impacts of climate change have recently become a major concern in the agricultural sector throughout the world. Insurance has been commonly proposed as a key instrument in farm risk management, and agricultural insurance schemes have become more widespread both in developed and developing countries. We conducted a case study in the UK to investigate farmers’ risk perception and willingness to pay for crop insurance by using contingent valuation method (CVM). Similarly to the experience from developing countries, we found that farmers are less willing to pay for insurance, however they do take actions to reduce their risks. While these results suggest that the provision of premium subsidies to European farmers can be justified; in order to avoid counter-productive policy outcomes, one may consider the introduction of a risk-based approach in agricultural risk management.

  JEL classification: Q14

• Efficiency analysis of dairy farms in the Northern Great Plain region using deterministic and stochastic DEA models

  113-122

  Tímea Gál

  Views:

  143

  Running any dairy enterprise is a risky activity: the profitability of the enterprise is affected by the price fluctuation of feed and animal health products from inputs, as well as by the fluctuation of end-product prices. Under these circumstances, it is essential for the cattle breeders, in order to survive, to harness the reserves in management as effectively as possible. In this research the efficiency and risk of 32 sample dairy farms were analysed in the Northern Great Plain Region from the Farm Accountancy Data Network (FADN) by applying classical Data Envelopment Analysis (DEA) and stochastic DEA models. The choice of this method is justified by the fact that there was not such an available reliable database by which production functions could have been defined, and DEA makes possible to manage simultaneously some inputs and outputs, i.e. complex decision problems. By using DEA, the sources that cause shortfall on inefficient farms can be identified, analysed and quantified, so corporate decision support can be reinforced successfully. A disadvantage of the classical DEA model is that the stochastic factors of farming cannot be treated either on the side of inputs or outputs; therefore, their results can be adopted with reservations, especially in agricultural models. This may have been because we could not discover that many agricultural applications. Considering the price of inputs and outputs as probability variables, 5000 simulation runs have been done in this research. As a result, it can be stated that at which intervals of the input and output factors can become competitive and the fluctuation of these factors can cause what level of risk at each farm.