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Comparison of consumption and purchase habits for University students for industrially kept pigs and mangalica pigs
Views:186The aim of the study is to compare the preferences for the purchase and consumption of industrially kept pigs and mangalica pigs. The research was conducted among the students of the Faculty of Economics and Business of University of Debrecen in October 2019, in the form of an online questionnaire. Descriptive statistical methods, chi-square tests, Spearman rank correlation indexes, factor analysis and two-step cluster analysis were used to analyze the data obtained from the survey. Based on the results, it can be said that there are differences in consumer perceptions of industrially kept pigs and mangalica pigs among a number of sociodemographic factors. Factor analysis was used to delimit three factors in the case of industrially kept pigs (“domestic-branded-fresh product” aspects, factors related to health awareness, aspects of a marketing nature), while in the case of mangalica pigs one factor was identified. Next, I used a two-step cluster analysis using the isolated factors, where several sociodemographic variables were tested. The best fit was shown by the combination of gender and highest educational level. Based on these, it can be concluded that in the case of industrially kept pigs, the factors considered in the purchase were the most important for women and men with higher education in the case of two factors (“domestic-brand-fresh product” aspect and marketing aspects) and for mangalica pigs. While in the case of industrially kept pigs, the third factor (factors related to health awareness) that were taken into account in the purchase proved to be the most important for men with a secondary education.
JEL Code: I12, M31
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The efficiency of porkers production of intensively and extensively feeded
69-74Views:125The aim of this study is a comparative analysis of the costs of production of intensively and extensively fed porkers in view of the qualitative parameters of meat obtained after slaughter. The production experiment, which involved the parallel fattening of 3 groups of 30 porkers (fed intensively up to a weight of about 120 kg and extensively up to weights of about 100 kg and 120 kg), was carried out between 2011 and 2012 in a deliberately selected farm. The researchers assumed average prices of the means of production and prices of livestock pigs in individual meatiness classes noted in Poland in 2012. The fattening started when the animals weighed about 40 kg. The feeds used for extensive fattening contained less total protein, energy and basic exogenous amino acids, but more raw fibre. The analysis proved that the extensive production of porkers up to 100 kg in 2012 was not profitable. The most profitable production was the intensive production up to 120 kg (a profit of €0.100 per kg, whereas in the extensive feeding up to 120 kg the profit was €0.072 per kg. The porkers which were fed less intensively had a higher slaughter value, thinner fatback, higher dressing percentage and smaller content of fatback in the half-carcase, whereas their meat contained more water and less protein, fat and ash than the meat from the group of porkers fed with the mix richer in protein and energy.
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Cost analysis of pig slaughtering: A Hungarian case study
121-129Views:200The scale of Hungarian slaughterhouses is small in international comparison and the cost of slaughter and cutting a pig of average live weight is relatively high at 16.1-19.4 EUR on average. The aim of this study is to evaluate the cost of pig slaughter and cutting through the case study of a medium-scale plant in Hungary. Based on data from the enterprise, a calculation was performed in relation to the “output” quantity of pig slaughter and cutting, as well as its value and the cost and cost structure of processing. The capacity of the examined plant and its utilisation were analysed and cost reductions were estimated for various increases of output. In 2015, the direct cost of slaughter and cutting was 18.9 EUR per pig for the medium-scale plant which processed 100 thousand pigs. When the purchase cost of pigs is excluded, labour costs accounted for the highest share (30%) of costs, followed by services (29%) and energy costs (21%). For this reason, the level of wages and employer’s contributions has a rather high significance. Analysis showed that significant increases in Hungarian minimum wage and guaranteed living wage in 2017 resulted in an estimated 7% increase in the cost of slaughter and cutting compared to 2015, despite the decrease of contributions. The capacity utilisation of the plant was a low 28% when compared to a single 8-hour shift considered full capacity. The cost of slaughter and cutting was estimated to be reduced to 14.2-17.0 EUR per pig if the plant operated at full capacity. This may be considered a lower bound estimate of cost because there are numerous restricting factors on optimising capacity utilisation, such as: 1) number of live animals available for purchase and related logistics; 2) cooling capacity availability; 3) labour availability; 4) market position of the enterprise and potential for marketing additional pig meat products. Enterprises of this scale are recommended to consider producing more value-added products and, accordingly, investing in product development.
JEL Classification: Q13, Q19
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Competiveness of the Hungarian pig sector
103-107Views:87The number of Hungarian pig population was 3.2 million in February 2010, 150 thousand less than in the previous year. This included 226 thousand brood sows, 54 thousand less than in the previous year, and this number is expected to fall further next year. In the past two years the number of brood sows decreased to a larger extent in economic organizations than in private farms (KSH, 2010). Despite the rising costs of feedingstuffs, producer prices for slaughter pigs have decreased, therefore private farms with small herds of brood sows haves old their breeding animals for slaughter houses. However, economic organizations mostly tried to restructure their production and place emphasis on plant production, thus improving their situation. These market changes indicate that the sector continues to scale down, production shrinks, market losses are continuous within the sector and vulnerability threaten the players of the product cycle increasingly.
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A comparison of the Hungarian mangalitza and dutch organic pork chains
73-76Views:153The aim of this paper is to present the Hungarian mangalitza pig and Dutch organic pig supply chains and, in interrogating the differences between the two sectors, to make suggestions for the efficient operation of the Hungarian mangalitza breeding sector. The information about the two was sourced by a depth interview and literature reviews. It is established that there are few similarities between the two segments. In both sectors, the pigs are kept outdoors in large paddocks, there are also National Associations: in Hungary, the Association of Mangalitza Breeders (NAMB), in The Netherlands, the Organic Pork Growers. They hold a general meeting every year, where they discuss issues such as volume, quality, price, marketing and the future challenges and opportunities. There is strong demand both for the mangalitza and also for Dutch organic pork products on foreign markets. The main difference between them is their information systems. In The Netherlands, information flows via FarmingNet, but in the mangalitza sector, no such system exists. Yet, such a system would represent a breaking point for the adequate flow of data and efficient production for the NAMB, because then, Hungarian farmers would be forced to supply data.
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Economic results of Croatian farms
53-58Views:106The objective of the paper is to provide an overview of the situation and performance of Croatian farms. Croatian farmers rarely keep business books and therefore farm level business data are deficient. Croatian accession to the European Union in 2013 brought numerous innovations to agricultural sector. One is introduction of Farm Accountancy Data Network (FADN) which aims to determine the impact of the Common Agricultural Policy on national agriculture of EU member states. The sample of Croatian FADN comprises 1,250 commercial farms. The paper brings results of agricultural sector financial analysis for the period 2011-2013. Total farm output decreased, but since the stronger decrease trend occurred in total inputs, this led to positive trend of gross and net farm income in the year 2013. Positive results are also shown at efficiency and productivity of Croatian farms. In the years 2011 and 2012 farms operated below the efficiency level while in 2013 efficiency increased above the efficiency level. In the observed period there was a 70% increase in productivity. The analysis shows that the most efficient farms are those in vegetables and flowers type. It also has the highest debt ratio due to their capital intensiveness. The vegetable and floriculture farms have the largest gross farm income in all three analysed years, but with a large drop in 2013, while the farms in type pigs and poultry have largest increase of gross farm income in last observed year.
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Investment analysis of a piglet producer farm – a Hungarian case study
141-152Views:235The pig population in Hungary was about 8 million in 1990, while this number dropped to only 2.8 million by 2018. The previously so successful integrated domestic pig farming has almost completely disappeared and most of the smaller farms still operating in the 1990s are no longer functioning. At present, a process of concentration can be observed, which was accompanied by the further specialization of pig farming. The main profile of most pig farms is fattening, but there is a smaller number of farms in Hungary today specialized for piglet production, the successful operation of which requires significantly more expertise and more complex technology.
The main aim of this study is to present the production and economic indicators of a pig farm specialized in piglet production in Hungary as a result of a greenfield investment in the current economic environment, on a case study basis. For this purpose, an economic simulation was prepared based on primary data collection, operating on a deterministic basis, modelling the production and economic processes of the farm. The performed calculation does not derive the economic indicators of the activity from accounting records, but assigns the prices of natural inputs used on the basis of technological data. Primary data and information collection (e.g. technological data, input and output prices, unit cost items, etc.) took place between 2018-2019.
At the purchase prices of pigs in the last two years, which have increased significantly due to the African Swine Fever (ASF), the majority of pig farms in Hungary have an outstanding profit-making capacity. The physical efficiency indicators of the analysed pig farm are almost identical to the average data of such farms in the Netherlands, which has one of the most developed pig industry. The income of the examined pig farm at farm level is about 734 thousand EUR, i.e. 232 EUR per sow. Moreover, this activity is profitable even without subsidies. As a result, the greenfield investment pays off in the 8th year by default (average scenario). The investment has a Net Present Value (NPVr=3%) of EUR 2,609 thousand for 10 years, an Internal Rate of Return of 8.5%, and a Profitability Index (PIr=3%) of 1.3. At the same time, risk factors such as sales prices, output and capacity utilization, and feed costs should be taken into consideration as in extreme cases the return on investment may be unfavourable (pessimistic scenario).
JEL code: D24, M11, Q12
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Examination of pig farm technology by computer simulation
25-29Views:146Agricultural production is among the riskiest production activities. Similarly to other branches of agriculture in animal breeding the finished product is the result of complex procedures. The biological technological procedure, the creation of the product is affected by an outstanding number of environmental factors which also cause uncertainties. In the North Great Plain Region of Hungary, sows, gilts and slaughter pigs are produced on a corporate farm. The reliable operation data of this company provide a stable basis for and estimating future costs and revenue and their distributions. Monte Carlo methods are one of the generally accepted tools for modeling risks. The significant independent variables, their ranges and probability distributions, and the correlation between them were inputs to the model. The values of the variables were produced using a random number generator. The computer simulation was performed using @Ris (PalisadeCorporation) software. The study concentrates on the factors affecting the number of off spring (piglets). Model inputs were the mating, mortality and farrowing rates; the costs and the income values based on these rates have been analysed as the output data of the model.
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