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The question of gender equality is increasingly being raised today and is present at all levels of society. The topicality of the issue on farms is particularly evident, due to the particular inheritance processes on farms, the clear division of labour, and intergenerational cooperation that characterise the agricultural sector. In this research, a multi-criteria model (DEX-SOCIAL) was developed to understand the broader aspect of rural sociology and the issue of women's status on the farm. The paper discusses the status of women on a farm and assesses their social and economic situation. The methodology includes an online questionnaire in which women in the Eastern and Western Cohesion Regions participated, as well as other farm members and owners. Subsequently, the questions were transformed for the requirements of the assessment model, which assessed the life prospects of women on farms in both the Eastern and Western Cohesion Regions who were aged both over and under 40 years (criteria for "young successor"). The results of the study show that there is a clear difference in the qualitative assessment of women's socio-economic position in relation to the East–West cohesion region. The social position of women does not differ according to age structure. The conclusions of the study also present broader applications of the results in the field of rural development and rural sociology. [ABSTRACT FROM AUTHOR]

The aim of this paper is to assess the economic aspects of bedding materials for sport/recreational horses. Four materials are tested: sawdust in bulk, wood shavings, squared harvest straw, and slice-dusted straw. The process of collecting data for feasibility analysis is structured into two different trials. In Trial 1, daily observations are collected and measured to obtain data about the technical and cleaning characteristics of the four different bedding materials, and in Trial 2, the durability of the bedding materials is tested. From an economic (cost) standpoint, the most suitable bedding materials are squared harvest straw and slice-dusted straw. Unfavourable economic results are found for wood shavings and sawdust in bulk. However, the durability analysis shows wood shavings and slice-dusted straw to be the better options. Thus, the results indicate that some bedding types are better for durability reasons and others are better for economic reasons. [ABSTRACT FROM AUTHOR]

This paper utilizes available data sets and a single translog profit function to examine the performance of dairy farms operating in mountain and lowland areas, respectively. A translog profit model estimates reveal an apparent trend going toward explaining the better economic performance of highland dairy farms stemming from their capability to adjust accurately to underlying changes in the milk market. The empirical analysis finds mostly inelastic price elasticity trends. Translog profit model alleviates the path of understanding in explaining the better economic situation of these high-land dairy farms stemming from their capability to adjust adequately and promptly to ongoing changes in the milk market. Finally, the results of the study could at the same time deliver a new dimension in further debate about CAP post-2020 developments. [ABSTRACT FROM AUTHOR]

The attention of this paper is drawn to analyze the economic potential of involvement of farmers into the small-medium sized value-based food chain (VBFC). The survey represents a solid data basis from which econometric modelling approach was further developed. Empirical results reveal the positive economic viability on a general level; this means more stable purchase price of raw milk for dairy farms, which are the part of value-based food chain. Results point at inelastic demand for milk and milk related products. Furthermore, there are some accompanying and underlying indirect social benefits, such as production of high-quality food products, more stable and constant demand for raw milk, steady payments and better social situation. The last one is especially important for the farms operating in less-favored mountain areas where the survey was actually conducted. [ABSTRACT FROM AUTHOR]

Food Geographical Indication (GI) are labels that guarantee consumers that this is an original food product of the highest quality whose origin is linked to a specific region. The aim of the study was to determine the current state of GI, i.e. the number and spatial distribution in the EU and to examine their relationship with the performance indicator of agriculture and tourism in the EU. At the time of writing the paper in the EU Geographical indications register, 1,507 food products were recorded, which were unevenly distributed in the members of the Union. Most of them are in the southern Mediterranean member states, while their number is decreasing towards the north of Europe. The results of the paper reject the assumption of a positive correlation between the number of GIs and the performance of agriculture in the EU28. Indeed, the leading EU members in terms of agricultural output are also those with relatively few GIs. On the other hand, most GIs are found in EU member states with below-average developed agriculture but with an important role of tourism in their economy. The conclusion of the paper is that in most countries with less developed agriculture, GIs cannot significantly improve unfavourable macroeconomic agricultural indicators but have a multiplier contribution to the development of the tourist offer and tourism in general. [ABSTRACT FROM AUTHOR]

The paper present a multi-criteria decision DEXi model for assessment of less favoured areas (LFAs). The tool enables easier assessment of farming in different areas of Slovene LFAs with respect to criteria of sustainability. Analysis of LFAs and final integration of the assessment of LFAs depend upon various criteria. In this paper we analyze individual LFAs and farming systems in these areas at the state level with respect to criteria of sustainability and farming potential. [ABSTRACT FROM AUTHOR]

This study examined the multi-criteria assessment of four dairy products: "Pomursko mlejko" (Pomurje milk), "Lejko mleko" (light milk), "Fyto mleko" (Fyto milk) and "Posneto mleko v prahu" (dried milk). The research was executed by using a multi-criteria methodology, DEX, which was complemented by an econometric analysis for light milk to estimate the trends in production and consumption before analyzed dairy products were implemented on the market. DEXi computer program results indicated that all analyzed milk products were 'above average'. The econometric model was applied to examine changes in the demand for low-fat milk (light milk). Empirical results showed significant consumer response to the increase in the prices of low-fat milk demonstrating income elasticity (1,15 unit). [ABSTRACT FROM AUTHOR]

The paper presents the application possibility of "Effect size" and Cohen's-d index in the case of introduction of new milk products on the market. The field and online survey were used to establish the potential interest of final consumers for new functional food product of dairy company in Slovenia - milk with phytosterols additives. Two techniques possibilities of Cohen-d index were calculated; manual and using the Cohen's-d calculator. Further, the application is focused on two main questions in survey regarding observed problem: 1) Would you buy milk with phytosterols additives, which scientifically proven lowers concentration of cholesterol in blood? 2) Would you pay for it at a higher price? The sample includes 419 surveys, 150 surveys were conducted on field (control group) and 269 surveys were provided online (experimental group). The Cohen's-d index (d) results show by using manual and Cohen's-d calculator for both groups "small" effect (d=0.35, i.e. d=0.34 ), and "zero or near zero" effect (d=0.15, i.e.= 0.15) when deciding to buy new milk product. [ABSTRACT FROM AUTHOR]

This study analyzes the effects that action 112 of the Rural Development Policy had on the socioeconomic status of Slovenian dairy farms. The data used in this paper were collected from Farm Accountancy Data Network (FADN), a database for applicants in action 112 (young farms transferees), from whose applications for participation in this action the data were obtained. Twenty-eight different econometric models were developed during the first stage of the research. The evaluation of the models was subsequently performed by applying valid statistical and econometric criteria. The results reveal the main positive effects that action 112 had on socioeconomic indicators of the dairy farms: number of full-time labor power, number of head of large livestock, total revenue (in euros) and net value added. Statistically significant differences in benefits from action 112 among dairy farms were determined by using two sets of dummy variables: region and level of education. The research in the field of the effect of the rural development policy action support of young farmers on socioeconomics performance of milk farms can make a significant contribution to developing the researchers' work and policy makers' decisions. Furthermore, this research is important from the agronomic point of view, since its results support two of the basic goals of Common agricultural policy after 2020: environmental care and conservation of landscape and biodiversity. [ABSTRACT FROM AUTHOR]